Position within the page tree

Home
Team
M. Tourian

Mohammad Tourian

Dr.-Ing.

Lecturer, Head of Research Group HydroGeoCoPE

Contact

+49 711 685 83388
+49 711 685 83285
Email

Geschwister-Scholl-Str. 24D
70174 Stuttgart
Germany
Room: 5.309

Subject

Head of Research Group HydroGeoCoPE

Publications

2023
1. Tourian, M., Saemian, P., Ferreira, V., Sneeuw, N., Frappart, F., & Papa, F. (2023). A copula-supported Bayesian framework for spatial downscaling of GRACE-derived terrestrial water storage flux. IUGG, Berlin, Germany.
  - BibTeX
  BibTeX
  @presentation{tourian2023copulasupported, author = {Tourian, Mohammad and Saemian, Peyman and Ferreira, Vagner and Sneeuw, Nico and Frappart, Frédéric and Papa, Fabrice}, eventdate = {11-20 July 2023}, eventtitle = {IUGG}, title = {A copula-supported Bayesian framework for spatial downscaling of GRACE-derived terrestrial water storage flux}, venue = {Berlin, Germany}, year = 2023 }
2. Durand, M., Gleason, C. J., Pavelsky, T. M., de Prata Moraes Frasson, R., Turmon, M., David, C. H., Altenau, E. H., Tebaldi, N., Larnier, K., Monnier, J., Malaterre, P. O., Oubanas, H., Allen, G. H., Astifan, B., Brinkerhoff, C., Bates, P. D., Bjerklie, D., Coss, S., Dudley, R., … Wang, J. (2023). A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite mission. Water Resources Research, n/a(n/a), Article n/a. https://doi.org/10.1029/2021WR031614
  Abstract
  Abstract The Surface Water and Ocean Topography (SWOT) mission will vastly expand measurements of global rivers, providing critical new datasets for both gaged and ungaged basins. SWOT discharge products (available approximately one year after launch) will provide discharge for all river reaches wider than 100 m. In this paper, we describe how SWOT discharge produced and archived by the US and French space agencies will be computed from measurements of river water surface elevation, width, and slope and ancillary data, along with expected discharge accuracy. We present for the first time a complete estimate of the SWOT discharge uncertainty budget, with separate terms for random (standard error) and systematic (bias) uncertainty components in river discharge timeseries. We expect that discharge uncertainty will be less than 30\% for two thirds of global reaches and will be dominated by bias. Separate river discharge estimates will combine both SWOT and in situ data; these “gage constrained” discharge estimates can be expected to have lower systematic uncertainty. Temporal variations in river discharge timeseries will be dominated by random error and are expected to be estimated to within 15\% for nearly all reaches, allowing accurate inference of event flow dynamics globally, including in ungaged basins. We believe this level of accuracy lays the groundwork for SWOT to enable breakthroughs in global hydrologic science.
  BibTeX
  @article{https://doi.org/10.1029/2021WR031614, abstract = {Abstract The Surface Water and Ocean Topography (SWOT) mission will vastly expand measurements of global rivers, providing critical new datasets for both gaged and ungaged basins. SWOT discharge products (available approximately one year after launch) will provide discharge for all river reaches wider than 100 m. In this paper, we describe how SWOT discharge produced and archived by the US and French space agencies will be computed from measurements of river water surface elevation, width, and slope and ancillary data, along with expected discharge accuracy. We present for the first time a complete estimate of the SWOT discharge uncertainty budget, with separate terms for random (standard error) and systematic (bias) uncertainty components in river discharge timeseries. We expect that discharge uncertainty will be less than 30\% for two thirds of global reaches and will be dominated by bias. Separate river discharge estimates will combine both SWOT and in situ data; these “gage constrained” discharge estimates can be expected to have lower systematic uncertainty. Temporal variations in river discharge timeseries will be dominated by random error and are expected to be estimated to within 15\% for nearly all reaches, allowing accurate inference of event flow dynamics globally, including in ungaged basins. We believe this level of accuracy lays the groundwork for SWOT to enable breakthroughs in global hydrologic science.}, author = {Durand, Michael and Gleason, Colin J. and Pavelsky, Tamlin M. and de Prata Moraes Frasson, Renato and Turmon, Michael and David, Cédric H. and Altenau, Elizabeth H. and Tebaldi, Nikki and Larnier, Kevin and Monnier, Jerome and Malaterre, Pierre Olivier and Oubanas, Hind and Allen, George H. and Astifan, Brian and Brinkerhoff, Craig and Bates, Paul D. and Bjerklie, David and Coss, Stephen and Dudley, Robert and Fenoglio, Luciana and Garambois, Pierre-André and Getirana, Augusto and Lin, Peirong and Margulis, Steven A. and Matte, Pascal and Minear, J. Toby and Muhebwa, Aggrey and Pan, Ming and Peters, Daniel and Riggs, Ryan and Sikder, Md Safat and Simmons, Travis and Stuurman, Cassie and Taneja, Jay and Tarpanelli, Angelica and Schulze, Kerstin and Tourian, Mohammad J. and Wang, Jida}, doi = {https://doi.org/10.1029/2021WR031614}, eprint = {https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR031614}, journal = {Water Resources Research}, note = {e2021WR031614 2021WR031614}, number = {n/a}, pages = {e2021WR031614}, title = {A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite mission}, url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2021WR031614}, volume = {n/a}, year = 2023 }
  Link
  https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2021WR031614
3. Tourian, M. J., Papa, F., Elmi, O., Sneeuw, N., Kitambo, B., Tshimanga, R. M., Paris, A., & Calmant, S. (2023). Current availability and distribution of Congo Basin’s freshwater resources. Communications Earth & Environment, 4(1), Article 1. https://doi.org/10.1038/s43247-023-00836-z
  Abstract
  The Congo Basin is of global significance for biodiversity and the water and carbon cycles. However, its freshwater availability and distribution remain relatively unknown. Using satellite data, here we show that currently the Congo Basin's Total Drainable Water Storage lies within a range of 476þinspacekm3 to 502þinspacekm3, unevenly distributed throughout the region, with 63\% being stored in the southernmost sub-basins, Kasaï (220--228þinspacekm3) and Lualaba (109--169þinspacekm3), while the northern sub-basins contribute only 173þinspace±þinspace8þinspacekm3. We further estimate the hydraulic time constant for draining its entire water storage to be 4.3þinspace±þinspace0.1 months, but, regionally, permanent wetlands and large lakes act as resistors resulting in greater time constants of up to 105þinspace±þinspace3 months. Our estimate provides a robust basis to address the challenges of water demand for 120 million inhabitants, a population expected to double in a few decades.
  BibTeX
  @article{Tourian2023, abstract = {The Congo Basin is of global significance for biodiversity and the water and carbon cycles. However, its freshwater availability and distribution remain relatively unknown. Using satellite data, here we show that currently the Congo Basin's Total Drainable Water Storage lies within a range of 476{\thinspace}km3 to 502{\thinspace}km3, unevenly distributed throughout the region, with 63{\%} being stored in the southernmost sub-basins, Kasa{\"i} (220--228{\thinspace}km3) and Lualaba (109--169{\thinspace}km3), while the northern sub-basins contribute only 173{\thinspace}{\textpm}{\thinspace}8{\thinspace}km3. We further estimate the hydraulic time constant for draining its entire water storage to be 4.3{\thinspace}{\textpm}{\thinspace}0.1 months, but, regionally, permanent wetlands and large lakes act as resistors resulting in greater time constants of up to 105{\thinspace}{\textpm}{\thinspace}3 months. Our estimate provides a robust basis to address the challenges of water demand for 120 million inhabitants, a population expected to double in a few decades.}, author = {Tourian, Mohammad J. and Papa, Fabrice and Elmi, Omid and Sneeuw, Nico and Kitambo, Benjamin and Tshimanga, Raphael M. and Paris, Adrien and Calmant, St{\'e}phane}, day = 22, doi = {10.1038/s43247-023-00836-z}, issn = {2662-4435}, journal = {Communications Earth {\&} Environment}, month = {05}, number = 1, pages = 174, title = {Current availability and distribution of Congo Basin's freshwater resources}, url = {https://doi.org/10.1038/s43247-023-00836-z}, volume = 4, year = 2023 }
  Link
  https://doi.org/10.1038/s43247-023-00836-z
4. Ke, S., Tourian, M., Sneeuw, N., Paiva, R., Durand, M., & David, C. (2023). Estimating Daily Discharge of an Entire River Network Using Space-based SWOT Observations. IUGG, Berlin, Germany.
  - BibTeX
  BibTeX
  @presentation{ke2023estimating, author = {Ke, Siqi and Tourian, Mohammad and Sneeuw, Nico and Paiva, Rodrigo and Durand, Michael and David, Cédric}, eventdate = {11-20 July 2023}, eventtitle = {IUGG}, title = {Estimating Daily Discharge of an Entire River Network Using Space-based SWOT Observations}, venue = {Berlin, Germany}, year = 2023 }
5. Yi, S., Saemian, P., Sneeuw, N., & Tourian, M. J. (2023). Estimating runoff from pan-Arctic drainage basins for 2002–2019 using an improved runoff-storage relationship. Remote Sensing of Environment, 298, 113816. https://doi.org/10.1016/j.rse.2023.113816
  Abstract
  The Arctic is undergoing dramatic climate and environmental changes. The long-term alterations in river discharges from the boreal catchments, which serve as vital links between the ocean and land, are having a profound impact on various environmental factors, particularly ocean circulation and sea-ice content. However, comprehensive and continuous monitoring of Arctic river discharge at seasonal or higher temporal resolutions remains challenging. In this study, we propose a new approach to estimate runoff by generating monthly runoff time series at the basin scale. Our method is based on changes in water storage observed by the gravimetric satellites Gravity Recovery and Climate Experiment (GRACE) and its follow-on mission since 2002. The method utilizes an empirical runoff-storage (R-S) relationship, offering simplicity and low computational burden while maintaining good accuracy in estimating runoff. To validate our method, we utilize in-situ runoff measurements from the seven largest boreal drainage basins spanning the period from 2002 to 2019, encompassing a total of 18 years. We divide these 18 years of observations into two phases: a training phase (8 years) and a testing phase (10 years). The results indicate that the R-S method established during the training phase yields monthly Nash-Sutcliffe efficiency (NSE) values ranging from 0.65 to 0.92 when compared to in-situ runoff measurements. Moreover, the method demonstrates a consistent performance in estimating runoff during the testing phase (monthly NSE: 0.67–0.84). With the exception of the Ob and Mackenzie basins, which exhibit distinct climatic conditions and hydrological networks, the R-S models are interchangeable across basins. This makes it suitable for both temporal and spatial extrapolation to fill data gaps, provided that accurate water and snow storage data are available. All in all, our method enables the reconstruction of monthly surface runoff across the entire boreal basins between 2002 and 2019. The results indicate an average annual runoff of 3200 ± 160 Gt over the study area of 1.58 × 107 km2. To evaluate the accuracy of our estimates, we compare the total runoff estimates obtained using the R-S method with those from 12 model estimates. Our estimates exhibit the highest correlation with available in-situ runoff measurements and yield monthly NSE values >0.57 for five out of the twelve model estimates. This study presents a convenient method to address the urgent need for comprehensive, continuous, and monthly temporal resolution of runoff estimates throughout the entire boreal region.
  BibTeX
  @article{YI2023113816, abstract = {The Arctic is undergoing dramatic climate and environmental changes. The long-term alterations in river discharges from the boreal catchments, which serve as vital links between the ocean and land, are having a profound impact on various environmental factors, particularly ocean circulation and sea-ice content. However, comprehensive and continuous monitoring of Arctic river discharge at seasonal or higher temporal resolutions remains challenging. In this study, we propose a new approach to estimate runoff by generating monthly runoff time series at the basin scale. Our method is based on changes in water storage observed by the gravimetric satellites Gravity Recovery and Climate Experiment (GRACE) and its follow-on mission since 2002. The method utilizes an empirical runoff-storage (R-S) relationship, offering simplicity and low computational burden while maintaining good accuracy in estimating runoff. To validate our method, we utilize in-situ runoff measurements from the seven largest boreal drainage basins spanning the period from 2002 to 2019, encompassing a total of 18 years. We divide these 18 years of observations into two phases: a training phase (8 years) and a testing phase (10 years). The results indicate that the R-S method established during the training phase yields monthly Nash-Sutcliffe efficiency (NSE) values ranging from 0.65 to 0.92 when compared to in-situ runoff measurements. Moreover, the method demonstrates a consistent performance in estimating runoff during the testing phase (monthly NSE: 0.67–0.84). With the exception of the Ob and Mackenzie basins, which exhibit distinct climatic conditions and hydrological networks, the R-S models are interchangeable across basins. This makes it suitable for both temporal and spatial extrapolation to fill data gaps, provided that accurate water and snow storage data are available. All in all, our method enables the reconstruction of monthly surface runoff across the entire boreal basins between 2002 and 2019. The results indicate an average annual runoff of 3200 ± 160 Gt over the study area of 1.58 × 107 km2. To evaluate the accuracy of our estimates, we compare the total runoff estimates obtained using the R-S method with those from 12 model estimates. Our estimates exhibit the highest correlation with available in-situ runoff measurements and yield monthly NSE values >0.57 for five out of the twelve model estimates. This study presents a convenient method to address the urgent need for comprehensive, continuous, and monthly temporal resolution of runoff estimates throughout the entire boreal region.}, author = {Yi, Shuang and Saemian, Peyman and Sneeuw, Nico and Tourian, Mohammad J.}, doi = {https://doi.org/10.1016/j.rse.2023.113816}, issn = {0034-4257}, journal = {Remote Sensing of Environment}, pages = 113816, title = {Estimating runoff from pan-Arctic drainage basins for 2002–2019 using an improved runoff-storage relationship}, url = {https://www.sciencedirect.com/science/article/pii/S003442572300367X}, volume = 298, year = 2023 }
  Link
  https://www.sciencedirect.com/science/article/pii/S003442572300367X
6. Elmi, O., Tourian, M., & Sneeuw, N. (2023). Extending River Discharge Time Series of Global Runoff Data Center (GRDC) Using Satellite Data. IUGG, Berlin, Germany.
  - BibTeX
  BibTeX
  @presentation{elmi2023extending, author = {Elmi, Omid and Tourian, Mohammad and Sneeuw, Nico}, eventdate = {11-20 July 2023}, eventtitle = {IUGG}, title = {Extending River Discharge Time Series of Global Runoff Data Center (GRDC) Using Satellite Data}, venue = {Berlin, Germany}, year = 2023 }
7. Elmi, O., & Tourian, M. J. (2023). Retrieving time series of river water extent from global inland water data sets. Journal of Hydrology, 617, 128880. https://doi.org/10.1016/j.jhydrol.2022.128880
  Abstract
  The accurate monitoring of the surface water storage as an essential component of the global water cycle requires a realistic representation of river networks and channel characteristics. Since such a representation has not been available for many rivers and is becoming less available even for many gauged rivers, crucial questions about the spatio-temporal dynamics of freshwater in river networks cannot be answered properly. The global coverage and fine temporal resolution of satellite imagery provide the opportunity to obtain time series of surface water extent at the global scale for almost all rivers. However, despite recent advances in satellite imaging sensors, water extraction algorithms, and big data processing capabilities, none of the available global water extent data sets can meet the necessary requirements in terms of accuracy and spatio-temporal resolutions. Due to the inherent complexity of monitoring the river surface extent, efforts have been limited to the development of global river extent data sets with a limited number of temporal layers usually obtained from long-term averaged satellite imagery. In this study, we propose a region-based image restoration algorithm to obtain the river surface extent from a pre-existing global inland water data set by incorporating temporal and spatial constraints between pixel labels. We employ our algorithm on the Monthly Water History maps of the Global Surface Water data set (Pekel et al., 2016). We validate the proposed method on 98 river reaches that their average width ranges from approximately 36m to 3400m with in situ discharge measurements in the Mississippi, Amazon, Niger and Po river basins. The obtained river width time series exhibit a strong monotonic relationship with discharge measurements as the Spearman correlation coefficients are predominantly larger than 0.70 (on average 0.74 for Mississippi, 0.84 for Amazon, 0.86 for Niger and 0.77 for Po rivers). Such a performance confirms that the proposed method can facilitate the acquisition of a global dynamic river extent data set, which plays a key role in better understanding the distribution and availability of freshwater across continents.
  BibTeX
  @article{ELMI2023128880, abstract = {The accurate monitoring of the surface water storage as an essential component of the global water cycle requires a realistic representation of river networks and channel characteristics. Since such a representation has not been available for many rivers and is becoming less available even for many gauged rivers, crucial questions about the spatio-temporal dynamics of freshwater in river networks cannot be answered properly. The global coverage and fine temporal resolution of satellite imagery provide the opportunity to obtain time series of surface water extent at the global scale for almost all rivers. However, despite recent advances in satellite imaging sensors, water extraction algorithms, and big data processing capabilities, none of the available global water extent data sets can meet the necessary requirements in terms of accuracy and spatio-temporal resolutions. Due to the inherent complexity of monitoring the river surface extent, efforts have been limited to the development of global river extent data sets with a limited number of temporal layers usually obtained from long-term averaged satellite imagery. In this study, we propose a region-based image restoration algorithm to obtain the river surface extent from a pre-existing global inland water data set by incorporating temporal and spatial constraints between pixel labels. We employ our algorithm on the Monthly Water History maps of the Global Surface Water data set (Pekel et al., 2016). We validate the proposed method on 98 river reaches that their average width ranges from approximately 36m to 3400m with in situ discharge measurements in the Mississippi, Amazon, Niger and Po river basins. The obtained river width time series exhibit a strong monotonic relationship with discharge measurements as the Spearman correlation coefficients are predominantly larger than 0.70 (on average 0.74 for Mississippi, 0.84 for Amazon, 0.86 for Niger and 0.77 for Po rivers). Such a performance confirms that the proposed method can facilitate the acquisition of a global dynamic river extent data set, which plays a key role in better understanding the distribution and availability of freshwater across continents.}, author = {Elmi, Omid and Tourian, Mohammad J.}, doi = {https://doi.org/10.1016/j.jhydrol.2022.128880}, issn = {0022-1694}, journal = {Journal of Hydrology}, pages = 128880, title = {Retrieving time series of river water extent from global inland water data sets}, url = {https://www.sciencedirect.com/science/article/pii/S0022169422014500}, volume = 617, year = 2023 }
  Link
  https://www.sciencedirect.com/science/article/pii/S0022169422014500
8. Safaeian, S., Falahatkar, S., & Tourian, M. J. (2023). Satellite observation of atmospheric CO2 and water storage change over Iran. Scientific Reports, 13(1), Article 1. https://doi.org/10.1038/s41598-023-28961-x
  Abstract
  Like many other Middle East countries, Iran has been suffering from severe water shortages over the last two decades, as evidenced by significant decline in surface water and groundwater levels. The observed changes in water storage can be attributed to the mutually reinforcing effects of human activities, climatic variability, and of course the climate change. The objective of this study is to analyze the dependency of atmospheric CO2 increase on the water shortage of Iran, for which we investigate the spatial relationship between water storage change and CO2 concentration using large scale satellite data. We conduct our analysis using water storage change data from GRACE satellite and atmospheric CO2 concentration from GOSAT and SCIAMACHY satellites during 2002–2015. To analyze the long-term behavior of time series we benefit from Mann-Kendal test and for the investigation of the relationship between atmospheric CO2 concentration and total water storage we use Canonical Correlation Analysis (CCA) and Regression model. Our Results show that the water storage change anomaly and CO2 concentration are negatively correlated especially in northern, western, southwest (Khuzestan province), and also southeast (Kerman, Hormozgan, Sistan, and Baluchestan provinces) of Iran. CCA results reveal that in the most of northern regions, the decrease in water storage is significantly influenced by the increase of CO2 concentration. The results further show that precipitation in the highland and peaks does not seem to be influenced by the long and short-term variation in CO2 concentration. Besides, our results show that the CO2 concentration is slightly correlated with a weak positive trend in evapotranspiration over agricultural areas. Thus, the indirect effect of CO2 on increasing evapotranspiration is observed spatially in the whole of Iran. The results of the regression model between total water storage change and carbon dioxide (R2 = 0.91)/water discharge/water consumption show that carbon dioxide has the highest effect on total water storage change at large scale. The results of this study will contribute to both water resource management and mitigation plans to achieve the goal of CO2 emission reduction.
  BibTeX
  @article{safaeian2023satellite, abstract = {Like many other Middle East countries, Iran has been suffering from severe water shortages over the last two decades, as evidenced by significant decline in surface water and groundwater levels. The observed changes in water storage can be attributed to the mutually reinforcing effects of human activities, climatic variability, and of course the climate change. The objective of this study is to analyze the dependency of atmospheric CO2 increase on the water shortage of Iran, for which we investigate the spatial relationship between water storage change and CO2 concentration using large scale satellite data. We conduct our analysis using water storage change data from GRACE satellite and atmospheric CO2 concentration from GOSAT and SCIAMACHY satellites during 2002–2015. To analyze the long-term behavior of time series we benefit from Mann-Kendal test and for the investigation of the relationship between atmospheric CO2 concentration and total water storage we use Canonical Correlation Analysis (CCA) and Regression model. Our Results show that the water storage change anomaly and CO2 concentration are negatively correlated especially in northern, western, southwest (Khuzestan province), and also southeast (Kerman, Hormozgan, Sistan, and Baluchestan provinces) of Iran. CCA results reveal that in the most of northern regions, the decrease in water storage is significantly influenced by the increase of CO2 concentration. The results further show that precipitation in the highland and peaks does not seem to be influenced by the long and short-term variation in CO2 concentration. Besides, our results show that the CO2 concentration is slightly correlated with a weak positive trend in evapotranspiration over agricultural areas. Thus, the indirect effect of CO2 on increasing evapotranspiration is observed spatially in the whole of Iran. The results of the regression model between total water storage change and carbon dioxide (R2 = 0.91)/water discharge/water consumption show that carbon dioxide has the highest effect on total water storage change at large scale. The results of this study will contribute to both water resource management and mitigation plans to achieve the goal of CO2 emission reduction.}, author = {Safaeian, Samaneh and Falahatkar, Samereh and Tourian, Mohammad J.}, doi = {10.1038/s41598-023-28961-x}, issn = {20452322}, journal = {Scientific Reports}, number = 1, pages = {3036--}, refid = {Safaeian2023}, title = {Satellite observation of atmospheric CO2 and water storage change over Iran}, url = {https://doi.org/10.1038/s41598-023-28961-x}, volume = 13, year = 2023 }
  Link
  https://doi.org/10.1038/s41598-023-28961-x
2022
1. Kitambo, B., Papa, F., Paris, A., Tshimanga, R. M., Calmant, S., Fleischmann, A. S., Frappart, F., Becker, M., Tourian, M. J., Prigent, C., & Andriambeloson, J. (2022). A combined use of in situ and satellite-derived observations to characterize surface hydrology and its variability in the Congo River basin. Hydrology and Earth System Sciences, 26(7), Article 7. https://doi.org/10.5194/hess-26-1857-2022
  - BibTeX
  - Link
  BibTeX
  @article{Kitambo_2022, author = {Kitambo, Benjamin and Papa, Fabrice and Paris, Adrien and Tshimanga, Raphael M. and Calmant, Stephane and Fleischmann, Ayan Santos and Frappart, Frederic and Becker, Melanie and Tourian, Mohammad J. and Prigent, Catherine and Andriambeloson, Johary}, doi = {10.5194/hess-26-1857-2022}, journal = {Hydrology and Earth System Sciences}, month = {04}, number = 7, pages = {1857--1882}, publisher = {Copernicus {GmbH}}, title = {A combined use of in situ and satellite-derived observations to characterize surface hydrology and its variability in the Congo River basin}, url = {https://doi.org/10.5194%2Fhess-26-1857-2022}, volume = 26, year = 2022 }
  Link
  https://doi.org/10.5194%2Fhess-26-1857-2022
2. Saemian, P., Tourian, M. J., & Sneeuw, N. (2022). A least-squares collocation approach to densifying river level from multi-mission satellite altimetry; Case study Mackenzie River basin. EGU 2022, Vienna, Austria.
  - BibTeX
  BibTeX
  @presentation{noauthororeditor, author = {Saemian, Peyman and Tourian, Mohammad J. and Sneeuw, Nico}, eventdate = {23-27 May 2022}, eventtitle = {EGU 2022}, title = {A least-squares collocation approach to densifying river level from multi-mission satellite altimetry; Case study Mackenzie River basin}, venue = {Vienna, Austria}, year = 2022 }
3. Sneeuw, N., Wang, B., Bao, J., Ke, S., & Tourian, M. J. (2022). Constraining river streamflow determination using bathymetry and slope from ICESat-2 satellite altimetry. EGU 2022, Vienna, Austria.
  - BibTeX
  BibTeX
  @presentation{sneeuwconstraining, author = {Sneeuw, Nico and Wang, Bo and Bao, Jingyi and Ke, Siqi and Tourian, Mohammad J.}, eventdate = {23-27 May 2022}, eventtitle = {EGU 2022}, title = {Constraining river streamflow determination using bathymetry and slope from ICESat-2 satellite altimetry}, venue = {Vienna, Austria}, year = 2022 }
4. Ghorbanpour, A. K., Kisekka, I., Afshar, A., Hessels, T., Taraghi, M., Hessari, B., Tourian, M. J., & Duan, Z. (2022). Crop Water Productivity Mapping and Benchmarking Using Remote Sensing and Google Earth Engine Cloud Computing. Remote Sensing, 14(19), Article 19. https://doi.org/10.3390/rs14194934
  Abstract
  Scarce water resources present a major hindrance to ensuring food security. Crop water productivity (WP), embraced as one of the Sustainable Development Goals (SDGs), is playing an integral role in the performance-based evaluation of agricultural systems and securing sustainable food production. This study aims at developing a cloud-based model within the Google Earth Engine (GEE) based on Landsat -7 and -8 satellite imagery to facilitate WP mapping at regional scales (30-m resolution) and analyzing the state of the water use efficiency and productivity of the agricultural sector as a means of benchmarking its WP and defining local gaps and targets at spatiotemporal scales. The model was tested in three major agricultural districts in the Lake Urmia Basin (LUB) with respect to five crop types, including irrigated wheat, rainfed wheat, apples, grapes, alfalfa, and sugar beets as the major grown crops. The actual evapotranspiration (ET) was estimated using geeSEBAL based on the Surface Energy Balance Algorithm for Land (SEBAL) methodology, while for crop yield estimations Monteith’s Light Use Efficiency model (LUE) was employed. The results indicate that the WP in the LUB is below its optimum targets, revealing that there is a significant degree of work necessary to ameliorate the WP in the LUB. The WP varies between 0.49–0.55 (kg/m3) for irrigated wheat, 0.27–0.34 for rainfed wheat, 1.7–2.2 for apples, 1.2–1.7 for grapes, 5.5–6.2 for sugar beets, and 0.67–1.08 for alfalfa, which could be potentially increased up to 80%, 150%, 76%, 83%, 55%, and 48%, respectively. The spatial variation of the WP and crop yield makes it feasible to detect the areas with the best and poorest on-farm practices, thereby facilitating the better targeting of resources to bridge the WP gap through water management practices. This study provides important insights into the status and potential of WP with possible worldwide applications at both farm and government levels for policymakers, practitioners, and growers to adopt effective policy guidelines and improve on-farm practices.
  BibTeX
  @article{rs14194934, abstract = {Scarce water resources present a major hindrance to ensuring food security. Crop water productivity (WP), embraced as one of the Sustainable Development Goals (SDGs), is playing an integral role in the performance-based evaluation of agricultural systems and securing sustainable food production. This study aims at developing a cloud-based model within the Google Earth Engine (GEE) based on Landsat -7 and -8 satellite imagery to facilitate WP mapping at regional scales (30-m resolution) and analyzing the state of the water use efficiency and productivity of the agricultural sector as a means of benchmarking its WP and defining local gaps and targets at spatiotemporal scales. The model was tested in three major agricultural districts in the Lake Urmia Basin (LUB) with respect to five crop types, including irrigated wheat, rainfed wheat, apples, grapes, alfalfa, and sugar beets as the major grown crops. The actual evapotranspiration (ET) was estimated using geeSEBAL based on the Surface Energy Balance Algorithm for Land (SEBAL) methodology, while for crop yield estimations Monteith’s Light Use Efficiency model (LUE) was employed. The results indicate that the WP in the LUB is below its optimum targets, revealing that there is a significant degree of work necessary to ameliorate the WP in the LUB. The WP varies between 0.49–0.55 (kg/m3) for irrigated wheat, 0.27–0.34 for rainfed wheat, 1.7–2.2 for apples, 1.2–1.7 for grapes, 5.5–6.2 for sugar beets, and 0.67–1.08 for alfalfa, which could be potentially increased up to 80%, 150%, 76%, 83%, 55%, and 48%, respectively. The spatial variation of the WP and crop yield makes it feasible to detect the areas with the best and poorest on-farm practices, thereby facilitating the better targeting of resources to bridge the WP gap through water management practices. This study provides important insights into the status and potential of WP with possible worldwide applications at both farm and government levels for policymakers, practitioners, and growers to adopt effective policy guidelines and improve on-farm practices.}, article-number = {4934}, author = {Ghorbanpour, Ali Karbalaye and Kisekka, Isaya and Afshar, Abbas and Hessels, Tim and Taraghi, Mahdi and Hessari, Behzad and Tourian, Mohammad J. and Duan, Zheng}, doi = {10.3390/rs14194934}, issn = {2072-4292}, journal = {Remote Sensing}, number = 19, title = {Crop Water Productivity Mapping and Benchmarking Using Remote Sensing and Google Earth Engine Cloud Computing}, url = {https://www.mdpi.com/2072-4292/14/19/4934}, volume = 14, year = 2022 }
  Link
  https://www.mdpi.com/2072-4292/14/19/4934
5. Tourian, M. J., Papa, F., Elmi, O., Sneeuw, N., Kitambo, B., Tshimanga, R., Paris, A., & Calmant, S. (2022). Current availability and distribution of Congo basin\textquotesingles freshwater resources. https://doi.org/10.21203/rs.3.rs-1325377/v1
  - BibTeX
  - Link
  BibTeX
  @article{Tourian_2022, author = {Tourian, Mohammad J. and Papa, Fabrice and Elmi, Omid and Sneeuw, Nico and Kitambo, Benjamin and Tshimanga, Raphael and Paris, Adrien and Calmant, Stephane}, doi = {10.21203/rs.3.rs-1325377/v1}, month = {03}, publisher = {Research Square Platform {LLC}}, title = {Current availability and distribution of Congo basin{\textquotesingle}s freshwater resources}, url = {https://doi.org/10.21203%2Frs.3.rs-1325377%2Fv1}, year = 2022 }
  Link
  https://doi.org/10.21203%2Frs.3.rs-1325377%2Fv1
6. Tourian, M. J., Behnia, S., Yu, S., Elmi, O., & Sneeuw, N. (2022). Estimation of inter-satellite and inter-track biases of satellite altimetry missions over lakes and reservoirs using surface area from satellite imagery. ESA Living Planet Symposium 2022, Bonn, Germany.
  - BibTeX
  BibTeX
  @presentation{tourianestimation, author = {Tourian, Mohammad J. and Behnia, Sajedeh and Yu, Shuhua and Elmi, Omid and Sneeuw, Nico}, eventdate = {23-27 May 2022}, eventtitle = {ESA Living Planet Symposium 2022}, title = {Estimation of inter-satellite and inter-track biases of satellite altimetry missions over lakes and reservoirs using surface area from satellite imagery }, venue = {Bonn, Germany}, year = 2022 }
7. Ghajarnia, N., Akbari, M., Saemian, P., Ehsani, M. R., Hosseini-Moghari, S.-M., Azizian, A., Kalantari, Z., Behrangi, A., Tourian, M. J., KlÃ¶ve, B., & Haghighi, A. T. (2022). Evaluating the Evolution of ECMWF Precipitation Products Using Observational Data for Iran: From ERA40 to ERA5. https://doi.org/10.31223/x5bp6p
  - BibTeX
  - Link
  BibTeX
  @article{Ghajarnia_2022, author = {Ghajarnia, Navid and Akbari, Mahdi and Saemian, Peyman and Ehsani, Mohammad Reza and Hosseini-Moghari, Seyed-Mohammad and Azizian, Asghar and Kalantari, Zahra and Behrangi, Ali and Tourian, Mohammad Javad and KlÃ¶ve, BjÃ¶rn and Haghighi, Ali Torabi}, doi = {10.31223/x5bp6p}, month = {03}, publisher = {California Digital Library ({CDL})}, title = {Evaluating the Evolution of {ECMWF} Precipitation Products Using Observational Data for Iran: From {ERA}40 to {ERA}5}, url = {https://doi.org/10.31223%2Fx5bp6p}, year = 2022 }
  Link
  https://doi.org/10.31223%2Fx5bp6p
8. Ghajarnia, N., Akbari, M., Saemian, P., Ehsani, M. R., Hosseini-Moghari, S.-M., Azizian, A., Kalantari, Z., Behrangi, A., Tourian, M. J., Klöve, B., & Haghighi, A. T. (2022). Evaluating the Evolution of ECMWF Precipitation Products Using Observational Data for Iran: From ERA40 to ERA5. Earth and Space Science, 9(10), Article 10. https://doi.org/10.1029/2022EA002352
  Abstract
  Abstract European Center for Medium-Range Weather Forecasts Reanalysis (ERA), one of the most widely used precipitation products, has evolved from ERA-40 to ERA-20CM, ERA-20C, ERA-Interim, and ERA5. Studies evaluating the performance of individual ERA products cannot adequately assess the evolution of the products. We compared the performance of all ERA precipitation products at daily, monthly, and annual data (1980–2018) using more than 2100 Iran precipitation gauges. Results indicated that ERA-40 performed worst, followed by ERA-20CM, which showed only minor improvements over ERA-40. ERA-20C considerably outperformed its predecessors, benefiting from the assimilation of observational data. Although several previous studies have reported full superiority of ERA5 over ERA-Interim, our results revealed several shortcomings in ERA5 compared with the ERA-Interim estimates. Both ERA-Interim and ERA5 performed best overall, with ERA-Interim showing better statistical and categorical skill scores, and ERA5 performing better in estimating extreme precipitations. These results suggest that the accuracy of ERA precipitation products has improved from ERA-40 to ERA-Interim, but not consistently from ERA-Interim to ERA5. This study employed a grid-grid comparison approach by first creating a gridded reference data set through the spatial aggregation of point source observations, however, the results from a point-grid approach showed no change in the overall ranking of products (despite the slight changes in the error index values). These findings are useful for model development at a global scale and for hydrological applications in Iran.
  BibTeX
  @article{https://doi.org/10.1029/2022EA002352, abstract = {Abstract European Center for Medium-Range Weather Forecasts Reanalysis (ERA), one of the most widely used precipitation products, has evolved from ERA-40 to ERA-20CM, ERA-20C, ERA-Interim, and ERA5. Studies evaluating the performance of individual ERA products cannot adequately assess the evolution of the products. We compared the performance of all ERA precipitation products at daily, monthly, and annual data (1980–2018) using more than 2100 Iran precipitation gauges. Results indicated that ERA-40 performed worst, followed by ERA-20CM, which showed only minor improvements over ERA-40. ERA-20C considerably outperformed its predecessors, benefiting from the assimilation of observational data. Although several previous studies have reported full superiority of ERA5 over ERA-Interim, our results revealed several shortcomings in ERA5 compared with the ERA-Interim estimates. Both ERA-Interim and ERA5 performed best overall, with ERA-Interim showing better statistical and categorical skill scores, and ERA5 performing better in estimating extreme precipitations. These results suggest that the accuracy of ERA precipitation products has improved from ERA-40 to ERA-Interim, but not consistently from ERA-Interim to ERA5. This study employed a grid-grid comparison approach by first creating a gridded reference data set through the spatial aggregation of point source observations, however, the results from a point-grid approach showed no change in the overall ranking of products (despite the slight changes in the error index values). These findings are useful for model development at a global scale and for hydrological applications in Iran.}, author = {Ghajarnia, Navid and Akbari, Mahdi and Saemian, Peyman and Ehsani, Mohammad Reza and Hosseini-Moghari, Seyed-Mohammad and Azizian, Asghar and Kalantari, Zahra and Behrangi, Ali and Tourian, Mohammad J. and Klöve, Björn and Haghighi, Ali Torabi}, doi = {https://doi.org/10.1029/2022EA002352}, eprint = {https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2022EA002352}, journal = {Earth and Space Science}, note = {e2022EA002352 2022EA002352}, number = 10, pages = {e2022EA002352}, title = {Evaluating the Evolution of ECMWF Precipitation Products Using Observational Data for Iran: From ERA40 to ERA5}, url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2022EA002352}, volume = 9, year = 2022 }
  Link
  https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2022EA002352
9. Elmi, O., & Tourian, M. J. (2022). Global dynamic river masks from Landsat imagery. ESA Living Planet Symposium, Bonn, Germany.
  - BibTeX
  BibTeX
  @presentation{elmiglobal, author = {Elmi, Omid and Tourian, Mohmmad J.}, eventdate = {23-27 May 2022}, eventtitle = {ESA Living Planet Symposium}, title = {Global dynamic river masks from Landsat imagery }, venue = {Bonn, Germany}, year = 2022 }
10. Saemian, P., Tourian, M. J., AghaKouchak, A., Madani, K., & Sneeuw, N. (2022). How much water did Iran lose over the last two decades? Journal of Hydrology: Regional Studies, 41, 101095. https://doi.org/10.1016/j.ejrh.2022.101095
  Abstract
  Study area Iran. Study focus Iran, once a pioneer of sustainable water management, is currently facing water bankruptcy. Aggressive exhaustion of non-renewable water has led to a suite of environmental and socio-economic problems across the country. Nevertheless, the understanding of Iran’s water loss is still incomplete due to a lack of conclusive data. In this study, we employ satellite gravimetry observations, in-situ and globally precipitation data, and gauged groundwater level to investigate the total water storage (TWS) loss in Iran over the last two decades. New hydrological insights for the region We quantify Iran’s water loss using a data-driven approach supported by a Monte-Carlo simulation. Our analysis indicates TWS loss of 211 ± 34 km3 (> twice Iran’s annual water consumption) within the 2003–2019 period. The mean groundwater level has dropped significantly at a rate of − 28 ± 1.4 cm/yr. This tremendous water loss happened despite an overall increased relative precipitation rate of + 4.9 ± 0.02 km3/yr. Thus the TWS loss can only be explained by drastic overexploitation of non-renewable water resources. Two major extreme events occurred during the study period, namely the 2007 drought and early 2019 floods. The former resulted in a total 115 ± 0.6 km3 water loss, one-third of the long-term annual precipitation. Approximately the same amount was brought back by a series of extreme precipitation events leading to floods in early 2019. Our results raise critical issues regarding unsustainable water management in Iran and highlight the crucial role of spaceborne measurements for understanding short-term and long-term water availability change in the absence of sufficient ground data.
  BibTeX
  @article{SAEMIAN2022101095, abstract = {Study area Iran. Study focus Iran, once a pioneer of sustainable water management, is currently facing water bankruptcy. Aggressive exhaustion of non-renewable water has led to a suite of environmental and socio-economic problems across the country. Nevertheless, the understanding of Iran’s water loss is still incomplete due to a lack of conclusive data. In this study, we employ satellite gravimetry observations, in-situ and globally precipitation data, and gauged groundwater level to investigate the total water storage (TWS) loss in Iran over the last two decades. New hydrological insights for the region We quantify Iran’s water loss using a data-driven approach supported by a Monte-Carlo simulation. Our analysis indicates TWS loss of 211 ± 34 km3 (> twice Iran’s annual water consumption) within the 2003–2019 period. The mean groundwater level has dropped significantly at a rate of − 28 ± 1.4 cm/yr. This tremendous water loss happened despite an overall increased relative precipitation rate of + 4.9 ± 0.02 km3/yr. Thus the TWS loss can only be explained by drastic overexploitation of non-renewable water resources. Two major extreme events occurred during the study period, namely the 2007 drought and early 2019 floods. The former resulted in a total 115 ± 0.6 km3 water loss, one-third of the long-term annual precipitation. Approximately the same amount was brought back by a series of extreme precipitation events leading to floods in early 2019. Our results raise critical issues regarding unsustainable water management in Iran and highlight the crucial role of spaceborne measurements for understanding short-term and long-term water availability change in the absence of sufficient ground data.}, author = {Saemian, Peyman and Tourian, Mohammad J. and AghaKouchak, Amir and Madani, Kaveh and Sneeuw, Nico}, doi = {https://doi.org/10.1016/j.ejrh.2022.101095}, issn = {2214-5818}, journal = {Journal of Hydrology: Regional Studies}, pages = 101095, title = {How much water did Iran lose over the last two decades?}, url = {https://www.sciencedirect.com/science/article/pii/S2214581822001082}, volume = 41, year = 2022 }
  Link
  https://www.sciencedirect.com/science/article/pii/S2214581822001082
11. Tourian, M. J., Elmi, O., Shafaghi, Y., Behnia, S., Saemian, P., Schlesinger, R., & Sneeuw, N. (2022). HydroSat: geometric quantities of the global water cycle from geodetic satellites. Earth System Science Data, 14, 2463–2486. https://doi.org/10.5194/essd-14-2463-2022
  - BibTeX
  - Link
  BibTeX
  @article{tourian2022hydrosat, author = {Tourian, Mohammad J. and Elmi, Omid and Shafaghi, Yasin and Behnia, Sajedeh and Saemian, Peyman and Schlesinger, Ron and Sneeuw, Nico}, doi = {10.5194/essd-14-2463-2022}, journal = {Earth System Science Data}, pages = {2463-2486}, title = {HydroSat: geometric quantities of the global water cycle from geodetic satellites}, url = {https://doi.org/10.5194/essd-14-2463-2022}, volume = 14, year = 2022 }
  Link
  https://doi.org/10.5194/essd-14-2463-2022
12. Pirooznia, M., Raoofian Naeeni, M., Atabati, A., & Tourian, M. J. (2022). Improving the Modeling of Sea Surface Currents in the Persian Gulf and the Oman Sea Using Data Assimilation of Satellite Altimetry and Hydrographic Observations. Remote Sensing, 14(19), Article 19. https://doi.org/10.3390/rs14194901
  Abstract
  Sea surface currents are often modeled using numerical models without adequately addressing the issue of model calibration at the regional scale. The aim of this study is to calibrate the MIKE 21 numerical ocean model for the Persian Gulf and the Oman Sea to improve the sea surface currents obtained from the model. The calibration was performed through data assimilation of the model with altimetry and hydrographic observations using variational data assimilation, where the weights of the objective functions were defined based on the type of observations and optimized using metaheuristic optimization methods. According to the results, the calibration of the model generally led the model results closer to the observations. This was reflected in an improvement of about 0.09 m/s in the obtained sea surface currents. It also allowed for more accurate evaluations of model parameters, such as Smagorinsky and Manning coefficients. Moreover, the root mean square error values between the satellite altimetry observations at control stations and the assimilated model varied between 0.058 and 0.085 m. We further showed that the kinetic energy produced by sea surface currents could be used for generating electricity in the Oman Sea and near Jask harbor.
  BibTeX
  @article{rs14194901, abstract = {Sea surface currents are often modeled using numerical models without adequately addressing the issue of model calibration at the regional scale. The aim of this study is to calibrate the MIKE 21 numerical ocean model for the Persian Gulf and the Oman Sea to improve the sea surface currents obtained from the model. The calibration was performed through data assimilation of the model with altimetry and hydrographic observations using variational data assimilation, where the weights of the objective functions were defined based on the type of observations and optimized using metaheuristic optimization methods. According to the results, the calibration of the model generally led the model results closer to the observations. This was reflected in an improvement of about 0.09 m/s in the obtained sea surface currents. It also allowed for more accurate evaluations of model parameters, such as Smagorinsky and Manning coefficients. Moreover, the root mean square error values between the satellite altimetry observations at control stations and the assimilated model varied between 0.058 and 0.085 m. We further showed that the kinetic energy produced by sea surface currents could be used for generating electricity in the Oman Sea and near Jask harbor.}, article-number = {4901}, author = {Pirooznia, Mahmoud and Raoofian Naeeni, Mehdi and Atabati, Alireza and Tourian, Mohammad J.}, doi = {10.3390/rs14194901}, issn = {2072-4292}, journal = {Remote Sensing}, number = 19, title = {Improving the Modeling of Sea Surface Currents in the Persian Gulf and the Oman Sea Using Data Assimilation of Satellite Altimetry and Hydrographic Observations}, url = {https://www.mdpi.com/2072-4292/14/19/4901}, volume = 14, year = 2022 }
  Link
  https://www.mdpi.com/2072-4292/14/19/4901
13. Behling, R., Roessner, S., Foerster, S., Saemian, P., Tourian, M. J., Portele, T. C., & Lorenz, C. (2022). Interrelations of vegetation growth and water scarcity in Iran revealed by satellite time series. Scientific Reports, 12(1), Article 1. https://doi.org/10.1038/s41598-022-24712-6
  Abstract
  Iran has experienced a drastic increase in water scarcity in the last decades. The main driver has been the substantial unsustainable water consumption of the agricultural sector. This study quantifies the spatiotemporal dynamics of Iran’s hydrometeorological water availability, land cover, and vegetation growth and evaluates their interrelations with a special focus on agricultural vegetation developments. It analyzes globally available reanalysis climate data and satellite time series data and products, allowing a country-wide investigation of recent 20+ years at detailed spatial and temporal scales. The results reveal a wide-spread agricultural expansion (27,000 km$$^2$$) and a significant cultivation intensification (48,000 km$$^2$$). At the same time, we observe a substantial decline in total water storage that is not represented by a decrease of meteorological water input, confirming an unsustainable use of groundwater mainly for agricultural irrigation. As consequence of water scarcity, we identify agricultural areas with a loss or reduction of vegetation growth (10,000 km$$^2$$), especially in irrigated agricultural areas under (hyper-)arid conditions. In Iran’s natural biomes, the results show declining trends in vegetation growth and land cover degradation from sparse vegetation to barren land in 40,000 km$$^2$$, mainly along the western plains and foothills of the Zagros Mountains, and at the same time wide-spread greening trends, particularly in regions of higher altitudes. Overall, the findings provide detailed insights in vegetation-related causes and consequences of Iran’s anthropogenic drought and can support sustainable management plans for Iran or other semi-arid regions worldwide, often facing similar conditions.
  BibTeX
  @article{behling2022interrelations, abstract = {Iran has experienced a drastic increase in water scarcity in the last decades. The main driver has been the substantial unsustainable water consumption of the agricultural sector. This study quantifies the spatiotemporal dynamics of Iran’s hydrometeorological water availability, land cover, and vegetation growth and evaluates their interrelations with a special focus on agricultural vegetation developments. It analyzes globally available reanalysis climate data and satellite time series data and products, allowing a country-wide investigation of recent 20+ years at detailed spatial and temporal scales. The results reveal a wide-spread agricultural expansion (27,000 km$$^2$$) and a significant cultivation intensification (48,000 km$$^2$$). At the same time, we observe a substantial decline in total water storage that is not represented by a decrease of meteorological water input, confirming an unsustainable use of groundwater mainly for agricultural irrigation. As consequence of water scarcity, we identify agricultural areas with a loss or reduction of vegetation growth (10,000 km$$^2$$), especially in irrigated agricultural areas under (hyper-)arid conditions. In Iran’s natural biomes, the results show declining trends in vegetation growth and land cover degradation from sparse vegetation to barren land in 40,000 km$$^2$$, mainly along the western plains and foothills of the Zagros Mountains, and at the same time wide-spread greening trends, particularly in regions of higher altitudes. Overall, the findings provide detailed insights in vegetation-related causes and consequences of Iran’s anthropogenic drought and can support sustainable management plans for Iran or other semi-arid regions worldwide, often facing similar conditions.}, author = {Behling, Robert and Roessner, Sigrid and Foerster, Saskia and Saemian, Peyman and Tourian, Mohammad J. and Portele, Tanja C. and Lorenz, Christof}, doi = {10.1038/s41598-022-24712-6}, issn = {20452322}, journal = {Scientific Reports}, number = 1, pages = {20784--}, refid = {Behling2022}, title = {Interrelations of vegetation growth and water scarcity in Iran revealed by satellite time series}, url = {https://doi.org/10.1038/s41598-022-24712-6}, volume = 12, year = 2022 }
  Link
  https://doi.org/10.1038/s41598-022-24712-6
14. Saemian, P., Tourian, M. J., Douch, K., & Sneeuw, N. (2022). Long-term Total Water Storage Anomalies Over Land Using GRACE observations, Models, and data-driven method. Frontiers of Geodetic Science, Essen.
  - BibTeX
  BibTeX
  @presentation{noauthororeditor, author = {Saemian, Peyman and Tourian, Mohammad J and Douch, Karim and Sneeuw, Nico}, eventdate = {18-19 October 2022}, eventtitle = {Frontiers of Geodetic Science}, title = {Long-term Total Water Storage Anomalies Over Land Using GRACE observations, Models, and data-driven method}, venue = {Essen}, year = 2022 }
15. Nielsen, K., Tarpanelli, A., Camici, S., Tourian, M. J., Restano, M., & Benveniste, J. (2022). Reconstructing river water level time series from multi-mission satellite altimetry – reach based methods. ESA Living Planet Symposium 2022, Bonn, Germany.
  - BibTeX
  BibTeX
  @presentation{nielsen2022reconstructing, author = {Nielsen, Karina and Tarpanelli, Angelica and Camici, Stefania and Tourian, Mohammad J. and Restano, Marco and Benveniste, Jérôme}, eventdate = {23-27 May 2022}, eventtitle = {ESA Living Planet Symposium 2022}, title = {Reconstructing river water level time series from multi-mission satellite altimetry – reach based methods }, venue = {Bonn, Germany}, year = 2022 }
16. Gou, J., & Tourian, M. J. (2022). RiwiSAR-SWH: A data-driven method for estimating significant wave height using Sentinel-3 SAR altimetry. ESA Living Planet Symposium 2022, Bonn, Germany.
  - BibTeX
  BibTeX
  @presentation{gou2022riwisarswh, author = {Gou, Junyang and Tourian, Mohammad J.}, eventdate = {23-27 May 2022}, eventtitle = {ESA Living Planet Symposium 2022}, title = {RiwiSAR-SWH: A data-driven method for estimating significant wave height using Sentinel-3 SAR altimetry }, venue = {Bonn, Germany}, year = 2022 }
17. Behnia, S., Woolliams, E., Schneider, N., Tourian, M. J., Sneeuw, N., Poisson, J.-C., Picot, N., Cretaux, J.-F., Piras, F., & Tarpanelli, A. (2022). Satellite altimetry Cal/Val for inland waters: How to couple FDRs and TDPs to FRMs? Metrology for Climate Action, online.
  - BibTeX
  BibTeX
  @presentation{noauthororeditor, author = {Behnia, Sajedeh and Woolliams, Emma and Schneider, Nicholas and Tourian, Mohammad J. and Sneeuw, Nico and Poisson, Jean-Christophe and Picot, Nicolas and Cretaux, Jean-François and Piras, Fanny and Tarpanelli, Angelica}, eventdate = {26-30 September 2022}, eventtitle = {Metrology for Climate Action}, title = {Satellite altimetry Cal/Val for inland waters: How to couple FDRs and TDPs to FRMs?}, venue = {online}, year = 2022 }
18. Camici, S., Tarpanelli, A., Brocca, L., Massari, C., Nielsen, K., Sneeuw, N., Tourian, M. J., Yi, S., Restano, M., & Benveniste, J. (2022). Satellite observations for runoff and river discharge estimation: STREAMRIDE approach. EGU 2022, Vienna, Ausria.
  - BibTeX
  BibTeX
  @presentation{noauthororeditor, author = {Camici, Stefania and Tarpanelli, Angelica and Brocca, Luca and Massari, Christian and Nielsen, Karina and Sneeuw, Nico and Tourian, Mohammad J. and Yi, Shuang and Restano, Marco and Benveniste, Jérôme}, eventdate = {23-27 May 2022}, eventtitle = {EGU 2022}, title = {Satellite observations for runoff and river discharge estimation: STREAMRIDE approach}, venue = {Vienna, Ausria}, year = 2022 }
19. Camici, S., Tarpanelli, A., Brocca, L., Massari, C., Nielsen, K., Sneeuw, N., Tourian, M. J., Yi, S., Restano, M., & Benveniste, J. (2022). Satellite observations for runoff and river discharge estimation: STREAMRIDE approach&\#160$\mathsemicolon$. https://doi.org/10.5194/egusphere-egu22-9234
  - BibTeX
  - Link
  BibTeX
  @article{Camici_2022, author = {Camici, Stefania and Tarpanelli, Angelica and Brocca, Luca and Massari, Christian and Nielsen, Karina and Sneeuw, Nico and Tourian, Mohammad J. and Yi, Shuang and Restano, Marco and Benveniste, J{\'{e}}r{\^{o}}me}, doi = {10.5194/egusphere-egu22-9234}, month = {03}, publisher = {Copernicus {GmbH}}, title = {Satellite observations for runoff and river discharge estimation: {STREAMRIDE} approach{\&}{\#}160$\mathsemicolon$}, url = {https://doi.org/10.5194%2Fegusphere-egu22-9234}, year = 2022 }
  Link
  https://doi.org/10.5194%2Fegusphere-egu22-9234
20. Camici, S., Tarpanelli, A., Brocca, L., Massari, C., Filippucci, P., Nielsen, K., Sneeuw, N., Tourian, M. J., Yi, S., Restano, M., & Benveniste, J. (2022). Satellite-based river discharge estimation: the STREAMRIDE project. COSPAR 2022, 44th Scientific Assembly, Athens, Greece.
  - BibTeX
  BibTeX
  @presentation{noauthororeditor, author = {Camici, Stefania and Tarpanelli, Angelica and Brocca, Luca and Massari, Christian and Filippucci, Paolo and Nielsen, Karina and Sneeuw, Nico and Tourian, Mohammad J. and Yi, Shuang and Restano, Marco and Benveniste, Jérôme}, eventdate = {16-24 July 2022}, eventtitle = {COSPAR 2022, 44th Scientific Assembly}, title = {Satellite-based river discharge estimation: the STREAMRIDE project}, venue = {Athens, Greece}, year = 2022 }
21. Elmi, O., Tourian, M. J., Bárdossy, A., & Sneeuw, N. (2022). Spaceborne river discharge from a nonparametric stochastic quantile mapping function. ESA Living Planet Symposium 2022, Bonn, Germany.
  - BibTeX
  BibTeX
  @presentation{noauthororeditor, author = {Elmi, Omid and Tourian, Mohammad J. and Bárdossy, András and Sneeuw, Nico}, eventdate = {23-27 May 2022}, eventtitle = {ESA Living Planet Symposium 2022}, title = {Spaceborne river discharge from a nonparametric stochastic quantile mapping function }, venue = {Bonn, Germany}, year = 2022 }
22. Camici, S., Tarpanelli, A., Massari, C., Brocca, L., Nielsen, K., Sneeuw, N., Tourian, M. J., Yi, S., Restano, M., & Benveniste, J. (2022). STREAMRIDE: runoff and river discharge estimation by using satellite observations. ESA Living Planet Symposium, Bonn, Germany.
  - BibTeX
  BibTeX
  @presentation{camici2022streamride, author = {Camici, Stefania and Tarpanelli, Angelica and Massari, Christian and Brocca, Luca and Nielsen, Karina and Sneeuw, Nico and Tourian, Mohammad J. and Yi, Shuang and Restano, Marco and Benveniste, Jérôme}, eventdate = {23-27 May 2022}, eventtitle = {ESA Living Planet Symposium}, title = {STREAMRIDE: runoff and river discharge estimation by using satellite observations }, venue = {Bonn, Germany}, year = 2022 }
23. Poisson, J. C., Picot, N., Yésou, H., Tarpanelli, A., Paris, A., Sneeuw, N., Behnia, S., Tourian, M., Fjortoft, R., Boy, F., Blumstein, D., Calzas, M., Cancet, M., Lucas, S., Azzoni, M., Laignel, B., Crétaux, J.-F., Calmant, S., Nielsen, K., … Férnéias, P. (2022). Towards the provision of operational FRM measurements for Sentinel-3 over inland water: procedures, protocols and roadmap. ESA Living Planet Symposium 2022, Bonn, Germany.
  - BibTeX
  BibTeX
  @presentation{poisson2022towards, author = {Poisson, Jean Christophe and Picot, Nicolas and Yésou, Hervé and Tarpanelli, Angelica and Paris, Adrien and Sneeuw, Nico and Behnia, Sajedeh and Tourian, Mohammad and Fjortoft, Rojer and Boy, François and Blumstein, Denis and Calzas, Michel and Cancet, Mathilde and Lucas, Sylvain and Azzoni, Maxime and Laignel, Benoit and Crétaux, Jean-François and Calmant, Stéphane and Nielsen, Karina and Andersen, Ole Baltazar and Fichen, Lionel and Studer, Mathias and Maxant, Jerome and Bonnefond, Pascal and Amzil, Sabrine and Camici, Stefania and Ledauphin, Thomas and Taburet, Nicolas and Vayre, Maxime and Férnéias, Pierre}, eventdate = {23-27 May 2022}, eventtitle = {ESA Living Planet Symposium 2022}, title = {Towards the provision of operational FRM measurements for Sentinel-3 over inland water: procedures, protocols and roadmap }, venue = {Bonn, Germany}, year = 2022 }
2021
1. Kitambo, B., Papa, F., Paris, A., Tshimanga, R., Calmant, S., Fleischmann, A. S., Frappart, F., Becker, M., Tourian, M. J., Prigent, C., & Andriambeloson, J. (2021). A combined use of in situ and satellite-derived observations to characterize surface hydrology and its variability in the Congo River Basin. Hydrology and Earth System Sciences Discussions, 2021, 1--47. https://doi.org/10.5194/hess-2021-315
  - BibTeX
  - Link
  BibTeX
  @article{hess-2021-315, author = {Kitambo, B. and Papa, F. and Paris, A. and Tshimanga, R. and Calmant, S. and Fleischmann, A. S. and Frappart, F. and Becker, M. and Tourian, M. J. and Prigent, C. and Andriambeloson, J.}, doi = {10.5194/hess-2021-315}, journal = {Hydrology and Earth System Sciences Discussions}, pages = {1--47}, title = {A combined use of in situ and satellite-derived observations to characterize surface hydrology and its variability in the Congo River Basin}, url = {https://hess.copernicus.org/preprints/hess-2021-315/}, volume = 2021, year = 2021 }
  Link
  https://hess.copernicus.org/preprints/hess-2021-315/
2. Saemian, P., Hosseini-Moghari, S.-M., Fatehi, I., Shoarinezhad, V., Modiri, E., Tourian, M. J., Tang, Q., Nowak, W., Bárdossy, A., & Sneeuw, N. (2021). Comprehensive evaluation of precipitation datasets over Iran. Journal of Hydrology, 603, 1–23. https://doi.org/10.1016/j.jhydrol.2021.127054
  - BibTeX
  - Link
  BibTeX
  @article{2021, author = {Saemian, Peyman and Hosseini-Moghari, Seyed-Mohammad and Fatehi, Iman and Shoarinezhad, Vahid and Modiri, Ehsan and Tourian, Mohammad J. and Tang, Qiuhong and Nowak, Wolfgang and B{\'{a}}rdossy, Andr{\'{a}}s and Sneeuw, Nico}, doi = {10.1016/j.jhydrol.2021.127054}, journal = {Journal of Hydrology}, month = {12}, pages = {1-23}, publisher = {Elsevier {BV}}, title = {Comprehensive evaluation of precipitation datasets over Iran}, url = {https://doi.org/10.1016%2Fj.jhydrol.2021.127054}, volume = 603, year = 2021 }
  Link
  https://doi.org/10.1016%2Fj.jhydrol.2021.127054
3. Tourian, M. J., Ke, S., Elmi, O., Sneeuw, N., & Durand, M. (2021). Estimation of river discharge using a mass-conserved Kalman filter approach relying on simulated SWOT observations. Frontiers of Geodetic Science digital 2021, Hannover.
  - BibTeX
  BibTeX
  @presentation{tourian2021estimation, author = {Tourian, Mohammad J and Ke, Siqi and Elmi, Omid and Sneeuw, Nico and Durand, Michael}, eventdate = {21-23 September 2021}, eventtitle = {Frontiers of Geodetic Science digital 2021}, title = {Estimation of river discharge using a mass-conserved Kalman filter approach relying on simulated SWOT observations}, venue = {Hannover}, year = 2021 }
4. Saemian, P., Tourian, M. J., & Sneeuw, N. (2021). Estimation of sub-monthly discharge over Arctic rivers through satellite altimetry: case study Mackenzie River. Frontiers of Geodetic Science digital 2021, Hannover.
  - BibTeX
  BibTeX
  @presentation{saemian2021estimation, author = {Saemian, Peyman and Tourian, Mohammad J and Sneeuw, Nico}, eventdate = {21-23 September 2021}, eventtitle = {Frontiers of Geodetic Science digital 2021}, title = {Estimation of sub-monthly discharge over Arctic rivers through satellite altimetry: case study Mackenzie River}, venue = {Hannover}, year = 2021 }
5. Tourian, M. J., Elmi, O., Shafaghi, Y., Behnia, S., Saemian, P., Schlesinger, R., & Sneeuw, N. (2021). HydroSat: a repository of global water cycle products from spaceborne geodetic sensors. https://doi.org/10.5194/essd-2021-174
  - BibTeX
  - Link
  BibTeX
  @article{Tourian_2021, author = {Tourian, Mohammad J. and Elmi, Omid and Shafaghi, Yasin and Behnia, Sajedeh and Saemian, Peyman and Schlesinger, Ron and Sneeuw, Nico}, doi = {10.5194/essd-2021-174}, month = {07}, publisher = {Copernicus {GmbH}}, title = {{HydroSat}: a repository of global water cycle products from spaceborne geodetic sensors}, url = {https://doi.org/10.5194%2Fessd-2021-174}, year = 2021 }
  Link
  https://doi.org/10.5194%2Fessd-2021-174
6. Behnia, S., Tourian, M. J., & Sneeuw, N. (2021). Leading Edge Identification with Prior Information (LEIPI): a new approach to retracking inland altimetry waveforms. Frontiers of Geodetic Science digital 2021, Hannover.
  - BibTeX
  BibTeX
  @presentation{behnia2021leading, author = {Behnia, Sajedeh and Tourian, Mohammad J and Sneeuw, Nico}, eventdate = {21-23 September 2021}, eventtitle = {Frontiers of Geodetic Science digital 2021}, title = {Leading Edge Identification with Prior Information (LEIPI): a new approach to retracking inland altimetry waveforms}, venue = {Hannover}, year = 2021 }
7. Gou, J., & Tourian, M. J. (2021). RiwiSAR-SWH: A data-driven method for estimating significant wave height using Sentinel-3 SAR altimetry. Advances in Space Research. https://doi.org/10.1016/j.asr.2021.12.019
  - BibTeX
  - Link
  BibTeX
  @article{gou2021riwisarswh, author = {Gou, Junyang and Tourian, Mohammad J.}, doi = {https://doi.org/10.1016/j.asr.2021.12.019}, issn = {0273-1177}, journal = {Advances in Space Research}, title = {RiwiSAR-SWH: A data-driven method for estimating significant wave height using Sentinel-3 SAR altimetry}, url = {https://www.sciencedirect.com/science/article/pii/S0273117721009297}, year = 2021 }
  Link
  https://www.sciencedirect.com/science/article/pii/S0273117721009297
8. Neto, A. R., Behnia, S., Tourian, M. J., da Costa, F. A., & Sneeuw, N. (2021). Satellite altimetry over small reservoirs in the Brazilian semiarid region. RBRH. https://doi.org/10.1590/2318-0331.262120210038
  - BibTeX
  - Link
  BibTeX
  @article{Ribeiro2021, author = {Neto, Alfredo Ribeiro and Behnia, Sajedeh and Tourian, Mohammad J. and da Costa, Fábio Araújo and Sneeuw, Nico}, doi = {10.1590/2318-0331.262120210038}, journal = {RBRH}, title = {Satellite altimetry over small reservoirs in the Brazilian semiarid region}, url = {https://doi.org/10.1590/2318-0331.262120210038}, year = 2021 }
  Link
  https://doi.org/10.1590/2318-0331.262120210038
9. Elmi, O., Tourian, M. J., Bárdossy, A., & Sneeuw, N. (2021). Spaceborne river discharge from a nonparametric stochastic quantile mapping function. Water Resources Research, e2021WR030277. https://doi.org/10.1029/2021WR030277
  Abstract
  Abstract The number of active gauges with open-data policy for discharge monitoring along rivers has decreased over the last decades. Therefore, spaceborne measurements are investigated as alternatives. Among different techniques for estimating river discharge from space, developing a rating curve between the ground-based discharge and spaceborne river water level or width is the most straightforward one. However, this does not always lead to successful results, since the river section morphology often cannot simply be modeled by a limited number of parameters. Moreover, such methods do not deliver a proper estimation of the discharge’s uncertainty as a result of the mismodeling and also the coarse assumptions made for the uncertainty of inputs. Here we propose a nonparametric model for estimating river discharge and its uncertainty from spaceborne river width measurements. The model employs a stochastic quantile mapping scheme by, iteratively: 1) generating realizations of river discharge and width time series using Monte Carlo simulation, 2) obtaining a collection of quantile mapping functions by matching all possible permutations of simulated river discharge and width quantile functions, 3) adjusting the measurement uncertainties according to the point cloud scatter. We validate our method over 14 different river reaches along the Niger, Congo, Po rivers and several river reaches in the Mississippi river basin. Our results show that the proposed algorithm can mitigate the effect of measurement noise and also possible mismodelling. Moreover, the proposed algorithm delivers a meaningful uncertainty for the estimated discharge and allows us to calibrate the error bars of in situ discharge measurements.
  BibTeX
  @article{https://doi.org/10.1029/2021WR030277, abstract = {Abstract The number of active gauges with open-data policy for discharge monitoring along rivers has decreased over the last decades. Therefore, spaceborne measurements are investigated as alternatives. Among different techniques for estimating river discharge from space, developing a rating curve between the ground-based discharge and spaceborne river water level or width is the most straightforward one. However, this does not always lead to successful results, since the river section morphology often cannot simply be modeled by a limited number of parameters. Moreover, such methods do not deliver a proper estimation of the discharge’s uncertainty as a result of the mismodeling and also the coarse assumptions made for the uncertainty of inputs. Here we propose a nonparametric model for estimating river discharge and its uncertainty from spaceborne river width measurements. The model employs a stochastic quantile mapping scheme by, iteratively: 1) generating realizations of river discharge and width time series using Monte Carlo simulation, 2) obtaining a collection of quantile mapping functions by matching all possible permutations of simulated river discharge and width quantile functions, 3) adjusting the measurement uncertainties according to the point cloud scatter. We validate our method over 14 different river reaches along the Niger, Congo, Po rivers and several river reaches in the Mississippi river basin. Our results show that the proposed algorithm can mitigate the effect of measurement noise and also possible mismodelling. Moreover, the proposed algorithm delivers a meaningful uncertainty for the estimated discharge and allows us to calibrate the error bars of in situ discharge measurements.}, author = {Elmi, Omid and Tourian, Mohammad J. and Bárdossy, András and Sneeuw, Nico}, doi = {https://doi.org/10.1029/2021WR030277}, eprint = {https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR030277}, journal = {Water Resources Research}, note = {e2021WR030277 2021WR030277}, pages = {e2021WR030277}, title = {Spaceborne river discharge from a nonparametric stochastic quantile mapping function}, url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2021WR030277}, year = 2021 }
  Link
  https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2021WR030277
10. Tourian, M., & Sneeuw, N. (2021). Spatial downscaling of GRACE water storage change using a copula-supported Bayesian framework. https://iccc.iag-aig.org/iccc-workshops/ws21
  - BibTeX
  - Link
  BibTeX
  @presentation{tourian2021spatial, author = {Tourian, Mohammad and Sneeuw, Nico}, eventdate = {29-31 March 2021}, eventtitle = {1. ICCC Workshop "Geodesy for Climate Research"}, title = {Spatial downscaling of GRACE water storage change using a copula-supported Bayesian framework}, url = {https://iccc.iag-aig.org/iccc-workshops/ws21}, year = 2021 }
  Link
  https://iccc.iag-aig.org/iccc-workshops/ws21
11. Domeneghetti, A., Molari, G., Tourian, M., Tarpanelli, A., Behnia, S., Moramarco, T., Sneeuw, N., & Brath, A. (2021). Testing the use of single- and multi-mission satellite altimetry for the calibration of hydraulic models. Advances in Water Resources, 151, 103887. https://doi.org/10.1016/j.advwatres.2021.103887
  - BibTeX
  BibTeX
  @article{article, author = {Domeneghetti, Alessio and Molari, Giada and Tourian, Mohammad and Tarpanelli, Angelica and Behnia, Sajedeh and Moramarco, T. and Sneeuw, Nico and Brath, Armando}, doi = {10.1016/j.advwatres.2021.103887}, journal = {Advances in Water Resources}, month = {03}, pages = 103887, title = {Testing the use of single- and multi-mission satellite altimetry for the calibration of hydraulic models}, volume = 151, year = 2021 }
2020
1. Saemian, P., Elmi, O., Vishwakarma, B., Tourian, M., & Sneeuw, N. (2020). Analyzing the Lake Urmia restoration progress using ground-based and spaceborne observations. Science of The Total Environment, 139857. https://doi.org/10.1016/j.scitotenv.2020.139857
  - BibTeX
  BibTeX
  @article{saemian2020analyzing, author = {Saemian, P and Elmi, O and Vishwakarma, BD and Tourian, MJ and Sneeuw, N}, doi = {10.1016/j.scitotenv.2020.139857}, journal = {Science of The Total Environment}, pages = 139857, publisher = {Elsevier}, title = {Analyzing the Lake Urmia restoration progress using ground-based and spaceborne observations}, year = 2020 }
2. Ferreira, V. G., Yong, B., Tourian, M. J., Ndehedehe, C. E., Shen, Z., Seitz, K., & Dannouf, R. (2020). Characterization of the hydro-geological regime of Yangtze River basin using remotely-sensed and modeled products. Science of The Total Environment, 718, 137354. https://doi.org/10.1016/j.scitotenv.2020.137354
  - BibTeX
  BibTeX
  @article{Ferreira2020, author = {Ferreira, V. G. and Yong, B. and Tourian, M. J. and Ndehedehe, C. E. and Shen, Z. and Seitz, K. and Dannouf, R.}, doi = {10.1016/j.scitotenv.2020.137354}, journal = {Science of The Total Environment}, month = {05}, pages = 137354, publisher = {Elsevier {BV}}, serialnum = {2}, title = {Characterization of the hydro-geological regime of Yangtze River basin using remotely-sensed and modeled products}, volume = 718, year = 2020 }
3. Wang, B., Tourian, M., & Sneeuw, N. (2020). Coastal Altimetry using ICESat-2 Photon-Counting Laser Altimeter.
  - BibTeX
  BibTeX
  @presentation{wang2020coastal, author = {Wang, Bo and Tourian, Mohammad and Sneeuw, Nico}, title = {Coastal Altimetry using ICESat-2 Photon-Counting Laser Altimeter}, year = 2020 }
4. Bo Wang, Mohammad Tourian, N. S. (2020). Coastal Altimetry using ICESat-2 Photon-Counting Laser Altimeter. https://www.dropbox.com/s/3zhqyupvuzt0qtn/CAW12%20Presentations.zip?dl=0&file_subpath=%2FCAW12+Presentations%2FDAY+II%2FAM%2F09_Wang_Coastal_Altimetry_2020.pdf
  - BibTeX
  - Link
  BibTeX
  @conference{bowangmohammadtourian2020coastal, author = {{Bo Wang, Mohammad Tourian}, Nico Sneeuw}, title = {Coastal Altimetry using ICESat-2 Photon-Counting Laser Altimeter}, url = {https://www.dropbox.com/s/3zhqyupvuzt0qtn/CAW12%20Presentations.zip?dl=0&file_subpath=%2FCAW12+Presentations%2FDAY+II%2FAM%2F09_Wang_Coastal_Altimetry_2020.pdf}, year = 2020 }
  Link
  https://www.dropbox.com/s/3zhqyupvuzt0qtn/CAW12%20Presentations.zip?dl=0&file_subpath=%2FCAW12+Presentations%2FDAY+II%2FAM%2F09_Wang_Coastal_Altimetry_2020.pdf
5. Tourian, M. J., Elmi, O., Behnia, S., & Sneeuw, N. (2020). Defining a retracking manifold within a radargram stack to improve satellite altimetric water level over coastal seas: A feasibility study. ESA 12th Coastal Altimetry Workshop, Frascati, Italy.
  - BibTeX
  BibTeX
  @conference{Tourian2020Coastal, author = {Tourian, Mohammad J. and Elmi, Omid and Behnia, Sajedeh and Sneeuw, Nico}, booktitle = {ESA 12th Coastal altimetry workshop, Frascati, Italy}, title = {Defining a retracking manifold within a radargram stack to improve satellite altimetric water level over coastal seas: A feasibility study}, year = 2020 }
6. Zaki, N. A., Haghighi, A. T., Rossi, P. M., Tourian, M. J., Bakhshaee, A., & Kløve, B. (2020). Evaluating Impacts of Irrigation and Drought on River, Groundwater and a Terminal Wetland in the Zayanderud Basin, Iran. Water. https://doi.org/10.3390/w12051302
  - BibTeX
  - Link
  BibTeX
  @article{Abou2020, author = {Zaki, Nizar Abou and Haghighi, Ali Torabi and Rossi, Pekka M. and Tourian, Mohammad J. and Bakhshaee, Alireza and Kløve, Bjørn}, day = 05, doi = {10.3390/w12051302}, journal = {Water}, month = {05}, title = {Evaluating Impacts of Irrigation and Drought on River, Groundwater and a Terminal Wetland in the Zayanderud Basin, Iran}, url = {https://doi.org/10.3390/w12051302}, year = 2020 }
  Link
  https://doi.org/10.3390/w12051302
7. Behnia, S., Tourian, M. J., & Sneeuw, N. (2020). How to Get Rid of Outliers in Time Series of Inland Altimetry?
  - BibTeX
  BibTeX
  @conference{Behnia2020, author = {Behnia, Sajedeh and Tourian, Mohammad J and Sneeuw, Nico}, note = {(Earth Observation for Water Cycle Science 2020, ESA, online, 16--19 November)}, title = {How to Get Rid of Outliers in Time Series of Inland Altimetry?}, year = 2020 }
8. Zhang, J., Tourian, M. J., & Sneeuw, N. (2020). Identification of ENSO signature in the boreal hydrological cycle through canonical correlation with sea surface temperature anomalies. International Journal of Climatology, 40, 6219–6241. https://doi.org/10.1002/joc.6573
  - BibTeX
  - Link
  BibTeX
  @article{Zhang_2020, author = {Zhang, Jinwei and Tourian, Mohammad J. and Sneeuw, Nico}, doi = {10.1002/joc.6573}, journal = {International Journal of Climatology}, pages = {6219-6241}, publisher = {Wiley & sons Ltd}, title = {Identification of ENSO signature in the boreal hydrological cycle through canonical correlation with sea surface temperature anomalies}, url = {https://doi.org/10.1002%2Fjoc.6573}, volume = 40, year = 2020 }
  Link
  https://doi.org/10.1002%2Fjoc.6573
9. Hosseini-Moghari, S.-M., Araghinejad, S., Tourian, M. J., Ebrahimi, K., & Döll, P. (2020). Quantifying the impacts of human water use and climate variations on recent drying of Lake Urmia basin: the value of different sets of spaceborne and in situ data for calibrating a global hydrological model. Hydrology and Earth System Sciences, 24(4), Article 4. https://doi.org/10.5194/hess-24-1939-2020
  - BibTeX
  BibTeX
  @article{Hosseini-Moghari2020, author = {Hosseini-Moghari, Seyed-Mohammad and Araghinejad, Shahab and Tourian, Mohammad J. and Ebrahimi, Kumars and Döll, Petra}, doi = {10.5194/hess-24-1939-2020}, journal = {Hydrology and Earth System Sciences}, month = {04}, number = 4, pages = {1939--1956}, publisher = {Copernicus {GmbH}}, title = {Quantifying the impacts of human water use and climate variations on recent drying of Lake Urmia basin: the value of different sets of spaceborne and in situ data for calibrating a global hydrological model}, volume = 24, year = 2020 }
10. Mattes, D., Losch, M., Rabe, B., Tourian, M., & Sneeuw, N. (2020). Response of Arctic sea level and hydrography to hydrological regime change over boreal catchments (RASLyBoCa). https://www.gis.uni-stuttgart.de/forschung/doc/Mattes_2020a.pdf
  - BibTeX
  - Link
  BibTeX
  @misc{MattesD_presentation_2020, author = {Mattes, Dennis and Losch, Martin and Rabe, Benjamin and Tourian, Mohammad and Sneeuw, Nico}, file = {SeaLevel_AnnualMeeting_new.pdf}, howpublished = {talk}, location = {SPP annual meeting, Bonn, Germany}, title = {Response of Arctic sea level and hydrography to hydrological regime change over boreal catchments (RASLyBoCa)}, url = {https://www.gis.uni-stuttgart.de/forschung/doc/Mattes_2020a.pdf}, year = 2020 }
  Link
  https://www.gis.uni-stuttgart.de/forschung/doc/Mattes_2020a.pdf
11. Tourian, M. J., & Sneeuw, N. (2020). Spatial downscaling of GRACE water storage change using a Bayesian approach supported by copula. The present and future of satellite gravimetry – Workshop on the design, development and applications of satellite gravimetry, Kanpur. https://satgrav2020.tuxfamily.org/posts/spatial-downscaling-of-grace-water-storage-change-using-a-bayesian-approach-supported-by-copula/
  - BibTeX
  - Link
  BibTeX
  @presentation{noauthororeditor, author = {Tourian, Mohammad J. and Sneeuw, Nico}, eventdate = {18-20 November 2020}, eventtitle = {The present and future of satellite gravimetry – Workshop on the design, development and applications of satellite gravimetry}, note = {(NGGM)}, title = {Spatial downscaling of GRACE water storage change using a Bayesian approach supported by copula}, url = {https://satgrav2020.tuxfamily.org/posts/spatial-downscaling-of-grace-water-storage-change-using-a-bayesian-approach-supported-by-copula/}, venue = {Kanpur}, year = 2020 }
  Link
  https://satgrav2020.tuxfamily.org/posts/spatial-downscaling-of-grace-water-storage-change-using-a-bayesian-approach-supported-by-copula/
2019
1. Arabsahebi, R., Voosoghi, B., & Tourian, M. J. (2019). A denoising–classification–retracking method to improve spaceborne estimates of the water level–surface–volume relation over the Urmia Lake in Iran. International Journal of Remote Sensing, 41(2), Article 2. https://doi.org/10.1080/01431161.2019.1643938
  - BibTeX
  BibTeX
  @article{Arabsahebi2019, author = {Arabsahebi, Reza and Voosoghi, Behzad and Tourian, Mohammad J.}, doi = {10.1080/01431161.2019.1643938}, journal = {International Journal of Remote Sensing}, month = {07}, number = 2, pages = {506--533}, publisher = {Informa {UK} Limited}, title = {A denoising{\textendash}classification{\textendash}retracking method to improve spaceborne estimates of the water level{\textendash}surface{\textendash}volume relation over the Urmia Lake in Iran}, volume = 41, year = 2019 }
2. Arabsahebi, R., Voosoghi, B., & Tourian, M. J. (2019). A denoising–classification–retracking method to improve spaceborne estimates of the water level–surface–volume relation over the Urmia Lake in Iran. International Journal of Remote Sensing, 1--28. https://doi.org/10.1080/01431161.2019.1643938
  - BibTeX
  - Link
  BibTeX
  @article{Arabsahebi2019, author = {Arabsahebi, Reza and Voosoghi, Behzad and Tourian, Mohammad J.}, doi = {10.1080/01431161.2019.1643938}, file = {:C$\backslash$:/Users/tourian/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Arabsahebi, Voosoghi, Tourian - 2019 - A denoising–classification–retracking method to improve spaceborne estimates of the water level–s.pdf:pdf}, issn = {0143-1161}, journal = {International Journal of Remote Sensing}, month = {07}, pages = {1--28}, title = {{A denoising–classification–retracking method to improve spaceborne estimates of the water level–surface–volume relation over the Urmia Lake in Iran}}, url = {https://www.tandfonline.com/doi/full/10.1080/01431161.2019.1643938}, year = 2019 }
  Link
  https://www.tandfonline.com/doi/full/10.1080/01431161.2019.1643938
3. Elmi, O., Tourian, M. J., & Sneeuw, N. (2019). A Graph-Based Image Segmentation Algorithm for Extracting Dynamic River Masks.
  - BibTeX
  BibTeX
  @misc{Elmi2019, author = {Elmi, O and Tourian, M. J. and Sneeuw, N}, entrysubtype = {talk}, location = {ESA Living Planet Symposium, 13--17 May 2019, Milano, Italy}, title = {{A Graph-Based Image Segmentation Algorithm for Extracting Dynamic River Masks}}, year = 2019 }
4. Ashraf, S., AghaKouchak, A., Nazemi, A., Mirchi, A., Sadegh, M., Moftakhari, H. R., Hassanzadeh, E., Miao, C. Y., Madani, K., Mousavi Baygi, M., Anjileli, H., Arab, D. R., Norouzi, H., Mazdiyasni, O., Azarderakhsh, M., Alborzi, A., Tourian, M. J., Mehran, A., Farahmand, A., & Mallakpour, I. (2019). Compounding effects of human activities and climatic changes on surface water availability in Iran. Climatic Change, 152(3–4), Article 3–4. https://doi.org/10.1007/s10584-018-2336-6
  - Abstract
  - BibTeX
  Abstract
  By combining long-term ground-based data on water withdrawal with climate model projections, this study quantifies the compounding effects of human activities and climate change on surface water availability in Iran over the twenty-first century. Our findings show that increasing water withdrawal in Iran, due to population growth and increased agricultural activities, has been the main source of historical water stress. Increased levels of water stress across Iran are expected to continue or even worsen over the next decades due to projected variability and change in precipitation combined with heightened water withdrawals due to increasing population and socio-economic activities. The greatest rate of decreased water storage is expected in the Urmia Basin, northwest of Iran, (varying from \$\backslash$textasciitilde\ −\$\backslash$thinspace\8.3 mm/year in 2010--2039 to \$\backslash$textasciitilde\ −\$\backslash$thinspace\61.6 mm/year in 2070--2099 compared with an observed rate of 4 mm/year in 1976--2005). Human activities, however, strongly dominate the effects of precipitation variability and change. Major shifts toward sustainable land and water management are needed to reduce the impacts of water scarcity in the future, particularly in Iran's heavily stressed basins like Urmia Basin, which feeds the shrinking Lake Urmia.
  BibTeX
  @article{Ashraf2019, abstract = {By combining long-term ground-based data on water withdrawal with climate model projections, this study quantifies the compounding effects of human activities and climate change on surface water availability in Iran over the twenty-first century. Our findings show that increasing water withdrawal in Iran, due to population growth and increased agricultural activities, has been the main source of historical water stress. Increased levels of water stress across Iran are expected to continue or even worsen over the next decades due to projected variability and change in precipitation combined with heightened water withdrawals due to increasing population and socio-economic activities. The greatest rate of decreased water storage is expected in the Urmia Basin, northwest of Iran, (varying from {\{}$\backslash$textasciitilde{\}} −{\{}$\backslash$thinspace{\}}8.3 mm/year in 2010--2039 to {\{}$\backslash$textasciitilde{\}} −{\{}$\backslash$thinspace{\}}61.6 mm/year in 2070--2099 compared with an observed rate of 4 mm/year in 1976--2005). Human activities, however, strongly dominate the effects of precipitation variability and change. Major shifts toward sustainable land and water management are needed to reduce the impacts of water scarcity in the future, particularly in Iran's heavily stressed basins like Urmia Basin, which feeds the shrinking Lake Urmia.}, author = {Ashraf, Samaneh and AghaKouchak, Amir and Nazemi, Ali and Mirchi, Ali and Sadegh, Mojtaba and Moftakhari, Hamed R. and Hassanzadeh, Elmira and Miao, Chi Yuan and Madani, Kaveh and {Mousavi Baygi}, Mohammad and Anjileli, Hassan and Arab, Davood Reza and Norouzi, Hamid and Mazdiyasni, Omid and Azarderakhsh, Marzi and Alborzi, Aneseh and Tourian, Mohammad J. and Mehran, Ali and Farahmand, Alireza and Mallakpour, Iman}, doi = {10.1007/s10584-018-2336-6}, file = {:C$\backslash$:/Users/tourian/Downloads/Samaneh-UCI-2.pdf:pdf}, isbn = {1058401823}, issn = {15731480}, journal = {Climatic Change}, number = {3-4}, pages = {379--391}, publisher = {Climatic Change}, title = {{Compounding effects of human activities and climatic changes on surface water availability in Iran}}, volume = 152, year = 2019 }
5. Tarpanelli, A., Santi, E., Tourian, M. J., Filippucci, P., Amarnath, G., & Brocca, L. (2019). Daily River Discharge Estimates by Merging Satellite Optical Sensors and Radar Altimetry Through Artificial Neural Network. IEEE Transactions on Geoscience and Remote Sensing, 57(1), Article 1. https://doi.org/10.1109/tgrs.2018.2854625
  - BibTeX
  - Link
  BibTeX
  @article{Tarpanelli_2019, author = {Tarpanelli, Angelica and Santi, Emanuele and Tourian, Mohammad J. and Filippucci, Paolo and Amarnath, Giriraj and Brocca, Luca}, doi = {10.1109/tgrs.2018.2854625}, journal = {{IEEE} Transactions on Geoscience and Remote Sensing}, month = {01}, number = 1, pages = {329--341}, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, title = {Daily River Discharge Estimates by Merging Satellite Optical Sensors and Radar Altimetry Through Artificial Neural Network}, url = {https://doi.org/10.1109%2Ftgrs.2018.2854625}, volume = 57, year = 2019 }
  Link
  https://doi.org/10.1109%2Ftgrs.2018.2854625
6. Elmi, O., Tourian, M. J., & Sneeuw, N. (2019). Estimation of River Discharge using Non-Parametric Techniques.
  - BibTeX
  BibTeX
  @misc{Elmi2019d, author = {Elmi, O and Tourian, M. J. and Sneeuw, N}, entrysubtype = {talk}, location = {Frontiers of Geodetic Science 2019, Stuttgart, Germany, 17--19 September 2019}, title = {Estimation of {R}iver {D}ischarge using {N}on{-P}arametric {T}echniques}, year = 2019 }
7. Issawy, E., Sneeuw, N., Elmi, O., Tourian, M. J., Roohi, S., Javaid, M., & Mohamed, H. (2019). Inland Water Monitoring Using Spaceborne Geodetic Sensors.
  - BibTeX
  BibTeX
  @misc{Issawy2019, author = {Issawy, E and Sneeuw, N and Elmi, O and Tourian, M. J. and Roohi, S and Javaid, M and Mohamed, H}, entrysubtype = {poster}, location = {EGU, Wien, 7--12 April 2019}, title = {{Inland Water Monitoring Using Spaceborne Geodetic Sensors}}, year = 2019 }
8. Hosseini-Moghari, S. M., Araghinejad, S., Ebrahimi, K., & Tourian, M. J. (2019). Introducing modified total storage deficit index (MTSDI) for drought monitoring using GRACE observations. Ecological Indicators, 101, 465--475. https://doi.org/10.1016/j.ecolind.2019.01.002
  - Abstract
  - BibTeX
  Abstract
  Although total storage deficit index (TSDI) is a well-known GRACE-based drought index, it is not efficient for the basins with high consumption because water harvesting in these areas affect GRACE signal. To overcome this limitation, the modified total storage deficit index (MTSDI) is introduced in this paper. To develop MTSDI, residuals of the signal were used instead of total signal. The proposed approach was applied to monitor drought in the Markazi Basin, Iran, during 2002–2016. Based on the obtained results, TSDI detected a moderate drought event in 2012 and a long-term severe drought from 2013 to 2016, which is not compatible with the recorded results of standardized precipitation index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI). Meanwhile MTSDI identified two drought events in 2008–09 and 2010–11 that coincided with droughts detected using SPI and SPEI. Results revealed that MTSDI is highly correlated with SPI and SPEI at a 12 month-scale, showing a correlation coefficient of 0.75 and 0.62, respectively. On the other hand, the coefficient of correlation between TSDI and SPI12 was 0.42 and between TSDI and SPEI12 was 0.26. A pixel-by-pixel analysis showed MTSDI and SPI/SPEI had a significant correlation in most areas of the basin. Further, the investigation of droughts in Markazi Basin revealed that dry years coincide with the occurrence of strong La Niña events. Overall, the results indicated a good potential of GRACE observations for developing a drought monitoring system, which its performance can be enhanced with respect to large-scale climate signals.
  BibTeX
  @article{Hosseini-Moghari2019, abstract = {Although total storage deficit index (TSDI) is a well-known GRACE-based drought index, it is not efficient for the basins with high consumption because water harvesting in these areas affect GRACE signal. To overcome this limitation, the modified total storage deficit index (MTSDI) is introduced in this paper. To develop MTSDI, residuals of the signal were used instead of total signal. The proposed approach was applied to monitor drought in the Markazi Basin, Iran, during 2002–2016. Based on the obtained results, TSDI detected a moderate drought event in 2012 and a long-term severe drought from 2013 to 2016, which is not compatible with the recorded results of standardized precipitation index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI). Meanwhile MTSDI identified two drought events in 2008–09 and 2010–11 that coincided with droughts detected using SPI and SPEI. Results revealed that MTSDI is highly correlated with SPI and SPEI at a 12 month-scale, showing a correlation coefficient of 0.75 and 0.62, respectively. On the other hand, the coefficient of correlation between TSDI and SPI12 was 0.42 and between TSDI and SPEI12 was 0.26. A pixel-by-pixel analysis showed MTSDI and SPI/SPEI had a significant correlation in most areas of the basin. Further, the investigation of droughts in Markazi Basin revealed that dry years coincide with the occurrence of strong La Ni{\~{n}}a events. Overall, the results indicated a good potential of GRACE observations for developing a drought monitoring system, which its performance can be enhanced with respect to large-scale climate signals.}, author = {Hosseini-Moghari, Seyed Mohammad and Araghinejad, Shahab and Ebrahimi, Kumars and Tourian, Mohammad J.}, doi = {10.1016/j.ecolind.2019.01.002}, file = {:C$\backslash$:/Users/tourian/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Hosseini-Moghari et al. - 2019 - Introducing modified total storage deficit index (MTSDI) for drought monitoring using GRACE observation.pdf:pdf}, issn = {1470160X}, journal = {Ecological Indicators}, month = {06}, pages = {465--475}, publisher = {Elsevier B.V.}, title = {{Introducing modified total storage deficit index (MTSDI) for drought monitoring using GRACE observations}}, volume = 101, year = 2019 }
9. Abou Zaki, N., Torabi Haghighi, A., M. Rossi, P., J. Tourian, M., & Kløve, B. (2019). Monitoring Groundwater Storage Depletion Using Gravity Recovery and Climate Experiment (GRACE) Data in Bakhtegan Catchment, Iran. Water, 11(7), Article 7. https://doi.org/10.3390/w11071456
  Abstract
  The Bakhtegan catchment, an important agricultural region in south-western Iran, has suffered groundwater depletion in recent years. As groundwater is considered the main source of fresh water in the catchment, especially for agriculture, monitoring groundwater responses to irrigation is important. Gravity Recovery and Climate Experiment (GRACE) satellite data can help determine water mass changes in catchments and assess water volume changes. In this study, we compared GRACE-derived water mass data against groundwater volume variations measured in situ. We also assessed the efficiency of GRACE-derived data in catchments smaller than the 200,000 km2 recommended area when using GRACE. For the study period (January 2002 through December 2011), the GRACE data showed a 7.6 mm annual decline in groundwater level, with a total volume loss of 2.6 km3 during the period. The in situ monthly measurements of groundwater level showed an average depletion of 10 m in catchment aquifers during the study period. This depletion rate was supported by the recorded decrease in precipitation volume, especially in the post-drought period after 2007. These results demonstrate that GRACE can be useful tool for monitoring groundwater depletion in arid catchments.
  BibTeX
  @article{w11071456, abstract = {The Bakhtegan catchment, an important agricultural region in south-western Iran, has suffered groundwater depletion in recent years. As groundwater is considered the main source of fresh water in the catchment, especially for agriculture, monitoring groundwater responses to irrigation is important. Gravity Recovery and Climate Experiment (GRACE) satellite data can help determine water mass changes in catchments and assess water volume changes. In this study, we compared GRACE-derived water mass data against groundwater volume variations measured in situ. We also assessed the efficiency of GRACE-derived data in catchments smaller than the 200,000 km2 recommended area when using GRACE. For the study period (January 2002 through December 2011), the GRACE data showed a 7.6 mm annual decline in groundwater level, with a total volume loss of 2.6 km3 during the period. The in situ monthly measurements of groundwater level showed an average depletion of 10 m in catchment aquifers during the study period. This depletion rate was supported by the recorded decrease in precipitation volume, especially in the post-drought period after 2007. These results demonstrate that GRACE can be useful tool for monitoring groundwater depletion in arid catchments.}, article-number = {1456}, author = {Abou Zaki, Nizar and Torabi Haghighi, Ali and M. Rossi, Pekka and J. Tourian, Mohammad and Kløve, Bjørn}, doi = {10.3390/w11071456}, issn = {2073-4441}, journal = {Water}, number = 7, title = {Monitoring Groundwater Storage Depletion Using Gravity Recovery and Climate Experiment (GRACE) Data in Bakhtegan Catchment, Iran}, url = {https://www.mdpi.com/2073-4441/11/7/1456}, volume = 11, year = 2019 }
  Link
  https://www.mdpi.com/2073-4441/11/7/1456
10. Zaki, N. A., Haghighi, A. T., Rossi, P. M., Tourian, M. J., & Kløve, B. (2019). Monitoring Groundwater Storage Depletion Using Gravity Recovery and Climate Experiment (GRACE) Data in Bakhtegan Catchment, Iran. Water, 11(7), Article 7. https://doi.org/10.3390/w11071456
  - BibTeX
  BibTeX
  @article{Zaki2019, author = {Zaki, Nizar Abou and Haghighi, Ali Torabi and Rossi, Pekka M. and Tourian, Mohammad J. and Kl{\o}ve, Bj{\o}rn}, doi = {10.3390/w11071456}, journal = {Water}, month = {07}, number = 7, pages = 1456, publisher = {{MDPI} {AG}}, title = {Monitoring Groundwater Storage Depletion Using Gravity Recovery and Climate Experiment ({GRACE}) Data in Bakhtegan Catchment, Iran}, volume = 11, year = 2019 }
11. Tourian, M. J., & Sneeuw, N. (2019). Spatio-temporal downscaling in Geodesy: A call to action.
  - BibTeX
  BibTeX
  @misc{Tourian2019, author = {Tourian, M. J. and Sneeuw, N.}, entrysubtype = {talk}, location = {Frontiers of Geodetic Science 2019, Stuttgart, Germany, 17--19 September 2019}, title = {{Spatio-temporal downscaling in Geodesy: A call to action}}, year = 2019 }
12. Behnia, S., Tourian, M., Ribeiro Neto, A., & Sneeuw, N. (2019). São Francisco as monitored by Radar Altimetry Satellites. https://www.gis.uni-stuttgart.de/forschung/doc/Behnia_2019.pdf
  - BibTeX
  - Link
  BibTeX
  @misc{Behnia201905, author = {Behnia, S and Tourian, M and Ribeiro Neto, A and Sneeuw, N}, entrysubtype = {poster}, location = {South America Water from Space II, Manaus, Brazil, 4--7 November 2019}, title = {São Francisco as monitored by Radar Altimetry Satellites}, url = {https://www.gis.uni-stuttgart.de/forschung/doc/Behnia_2019.pdf}, year = 2019 }
  Link
  https://www.gis.uni-stuttgart.de/forschung/doc/Behnia_2019.pdf
2018
1. Liu, W., Sneeuw, N., Iran Pour, S., Tourian, M. J., & Reubelt, T. (2018). A posteriori de-aliasing of ocean tide error in future double-pair satellite gravity missions. International Association of Geodesy Symposia, 147. https://doi.org/10.1007/1345_2016_259
  - Abstract
  - BibTeX
  Abstract
  © Springer International Publishing Switzerland 2016. Ocean tides cause notable aliasing errors in the gravity field from single pair space-borne gravimetry missions like GRACE. Several studies into future gravity missions have shown that constellations with two or more GRACE-like tandems lead to a significant reduction of aliasing error from all kinds of high-frequency signal sources. Despite such reduction, tidal aliasing will remain an error source. We here investigate the efficiency of tidal error de-aliasing in the post-processing mode for such future double-pair missions. To that purpose, we analyze how a certain satellite mission samples each tidal constituent. Given the repeat orbit patterns and the observation time span, we examine and model the alias periods and amplitudes constituent by constituent based on data-driven analysis. Results show that a double-pair formation has indeed better de-aliasing properties than a single-pair formation in terms of distribution and amplitude of ocean tide aliasing error. After least-squares (LS) spectral estimation of the tidal aliases at the derived alias periods, the aliasing error is reduced significantly.
  BibTeX
  @inproceedings{Liu2018, abstract = {{\textcopyright} Springer International Publishing Switzerland 2016. Ocean tides cause notable aliasing errors in the gravity field from single pair space-borne gravimetry missions like GRACE. Several studies into future gravity missions have shown that constellations with two or more GRACE-like tandems lead to a significant reduction of aliasing error from all kinds of high-frequency signal sources. Despite such reduction, tidal aliasing will remain an error source. We here investigate the efficiency of tidal error de-aliasing in the post-processing mode for such future double-pair missions. To that purpose, we analyze how a certain satellite mission samples each tidal constituent. Given the repeat orbit patterns and the observation time span, we examine and model the alias periods and amplitudes constituent by constituent based on data-driven analysis. Results show that a double-pair formation has indeed better de-aliasing properties than a single-pair formation in terms of distribution and amplitude of ocean tide aliasing error. After least-squares (LS) spectral estimation of the tidal aliases at the derived alias periods, the aliasing error is reduced significantly.}, author = {Liu, W. and Sneeuw, N. and {Iran Pour}, S. and Tourian, M.J. and Reubelt, T.}, booktitle = {International Association of Geodesy Symposia}, doi = {10.1007/1345_2016_259}, isbn = {9783319691695}, issn = {09399585}, title = {{A posteriori de-aliasing of ocean tide error in future double-pair satellite gravity missions}}, volume = 147, year = 2018 }
2. Arabsahebi, R., Voosoghi, B., & Tourian, M. J. (2018). An estimation of tropospheric corrections using GPS and synoptic data: Improving Urmia Lake water level time series from Jason-2 and SARAL/AltiKa satellite altimetry. Advances in Space Research. https://doi.org/10.1016/j.asr.2018.02.013
  - Abstract
  - BibTeX
  Abstract
  © 2018 COSPAR. Tropospheric correction is one of the most important corrections in satellite altimetry measurements. Tropospheric wet and dry path delays have strong dependence on temperature, pressure and humidity. Tropospheric layer has particularly high variability over coastal regions due to humidity, wind and temperature gradients. Depending on the extent of water body and wind conditions over an inland water, Wet Tropospheric Correction (WTC) is within the ranges from a few centimeters to tens of centimeters. Therefore, an extra care is needed to estimate tropospheric corrections on the altimetric measurements over inland waters. This study assesses the role of tropospheric correction on the altimetric measurements over the Urmia Lake in Iran. For this purpose, four types of tropospheric corrections have been used: (i) microwave radiometer (MWR) observations, (ii) tropospheric corrections computed from meteorological models, (iii) GPS observations and (iv) synoptic station data. They have been applied to Jason-2 track no. 133 and SARAL/AltiKa track no. 741 and 356 corresponding to 117-153 and the 23-34 cycles, respectively. In addition, the corresponding measurements of PISTACH and PEACHI, include new retracking method and an innovative wet tropospheric correction, have also been used. Our results show that GPS observation leads to the most accurate tropospheric correction. The results obtained from the PISTACH and PEACHI projects confirm those obtained with the standard SGDR, i.e., the role of GPS in improving the tropospheric corrections. It is inferred that the MWR data from Jason-2 mission is appropriate for the tropospheric corrections, however the SARAL/AltiKa one is not proper because Jason-2 possesses an enhanced WTC near the coast. Furthermore, virtual stations are defined for assessment of the results in terms of time series of Water Level Height (WLH). The results show that GPS tropospheric corrections lead to the most accurate WLH estimation for the selected virtual stations, which improves the accuracy of the obtained WLH time series by about 5\%.
  BibTeX
  @article{Arabsahebi2018a, abstract = {{\textcopyright} 2018 COSPAR. Tropospheric correction is one of the most important corrections in satellite altimetry measurements. Tropospheric wet and dry path delays have strong dependence on temperature, pressure and humidity. Tropospheric layer has particularly high variability over coastal regions due to humidity, wind and temperature gradients. Depending on the extent of water body and wind conditions over an inland water, Wet Tropospheric Correction (WTC) is within the ranges from a few centimeters to tens of centimeters. Therefore, an extra care is needed to estimate tropospheric corrections on the altimetric measurements over inland waters. This study assesses the role of tropospheric correction on the altimetric measurements over the Urmia Lake in Iran. For this purpose, four types of tropospheric corrections have been used: (i) microwave radiometer (MWR) observations, (ii) tropospheric corrections computed from meteorological models, (iii) GPS observations and (iv) synoptic station data. They have been applied to Jason-2 track no. 133 and SARAL/AltiKa track no. 741 and 356 corresponding to 117-153 and the 23-34 cycles, respectively. In addition, the corresponding measurements of PISTACH and PEACHI, include new retracking method and an innovative wet tropospheric correction, have also been used. Our results show that GPS observation leads to the most accurate tropospheric correction. The results obtained from the PISTACH and PEACHI projects confirm those obtained with the standard SGDR, i.e., the role of GPS in improving the tropospheric corrections. It is inferred that the MWR data from Jason-2 mission is appropriate for the tropospheric corrections, however the SARAL/AltiKa one is not proper because Jason-2 possesses an enhanced WTC near the coast. Furthermore, virtual stations are defined for assessment of the results in terms of time series of Water Level Height (WLH). The results show that GPS tropospheric corrections lead to the most accurate WLH estimation for the selected virtual stations, which improves the accuracy of the obtained WLH time series by about 5{\%}.}, author = {Arabsahebi, R. and Voosoghi, B. and Tourian, M.J.}, doi = {10.1016/j.asr.2018.02.013}, issn = {18791948}, journal = {Advances in Space Research}, title = {{An estimation of tropospheric corrections using GPS and synoptic data: Improving Urmia Lake water level time series from Jason-2 and SARAL/AltiKa satellite altimetry}}, year = 2018 }
3. Xia, Z., Farahani, H., Sneeuw, N., & Tourian, M. (2018). Assessment of radar altimetry river water level data densification methods.
  - BibTeX
  BibTeX
  @misc{Mattes_2018, author = {Xia, Z and Farahani, HH and Sneeuw, Nico and Tourian, MJ}, howpublished = {talk}, location = {Geodätische Woche, Frankfurt a.M., Germany}, title = {Assessment of radar altimetry river water level data densification methods}, year = 2018 }
4. Sneeuw, N., Tourian, M., & Reager, J. (2018). Can GRACE observe the total drainable water storage of a river basin? A first estimate over the Amazon basin.
  - BibTeX
  BibTeX
  @presentation{Sneeuw2018b, author = {Sneeuw, N and Tourian, MJ and Reager, JT}, entrysubtype = {talk}, location = {Hotine-Marussi Symposium 2018, Rome, 2018-06-18/2018-06-22}, owner = {NS}, title = {Can GRACE observe the total drainable water storage of a river basin? A first estimate over the Amazon basin}, year = 2018 }
5. Ashraf, S., AghaKouchak, A., Nazemi, A., Mirchi, A., Sadegh, M., Moftakhari, H. R., Hassanzadeh, E., Miao, C.-Y., Madani, K., Baygi, M. M., Anjileli, H., Arab, D. R., Norouzi, H., Mazdiyasni, O., Azarderakhsh, M., Alborzi, A., Tourian, M. J., Mehran, A., Farahmand, A., & Mallakpour, I. (2018). Compounding effects of human activities and climatic changes on surface water availability in Iran. Climatic Change, 152(3–4), Article 3–4. https://doi.org/10.1007/s10584-018-2336-6
  - BibTeX
  BibTeX
  @article{Ashraf2018, author = {Ashraf, Samaneh and AghaKouchak, Amir and Nazemi, Ali and Mirchi, Ali and Sadegh, Mojtaba and Moftakhari, Hamed R. and Hassanzadeh, Elmira and Miao, Chi-Yuan and Madani, Kaveh and Baygi, Mohammad Mousavi and Anjileli, Hassan and Arab, Davood Reza and Norouzi, Hamid and Mazdiyasni, Omid and Azarderakhsh, Marzi and Alborzi, Aneseh and Tourian, Mohammad J. and Mehran, Ali and Farahmand, Alireza and Mallakpour, Iman}, doi = {10.1007/s10584-018-2336-6}, journal = {Climatic Change}, month = {11}, number = {3-4}, pages = {379--391}, publisher = {Springer Science and Business Media {LLC}}, title = {Compounding effects of human activities and climatic changes on surface water availability in Iran}, volume = 152, year = 2018 }
6. Tarpanelli, A., Santi, E., Tourian, M. J., Filippucci, P., Amarnath, G., & Brocca, L. (2018). Daily River Discharge Estimates by Merging Satellite Optical Sensors and Radar Altimetry Through Artificial Neural Network. IEEE Transactions on Geoscience and Remote Sensing, 1--13. https://doi.org/10.1109/TGRS.2018.2854625
  - BibTeX
  BibTeX
  @article{AngelicaTarpanelli2018, author = {Tarpanelli, Angelica and Santi, Emanuele and Tourian, Mohammad J and Filippucci, Paolo and Amarnath, Giriraj and Brocca, Luca}, doi = {10.1109/TGRS.2018.2854625}, journal = {{IEEE} Transactions on Geoscience and Remote Sensing}, owner = {NS}, pages = {1--13}, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, serialnum = {2147}, title = {Daily {R}iver {D}ischarge {E}stimates by {M}erging {S}atellite {O}ptical {S}ensors and {R}adar {A}ltimetry {T}hrough {A}rtificial {N}eural {N}etwork}, year = 2018 }
7. Sneeuw, N., & Tourian, M. (2018). Hydro-Geodesy: geodetic satellite methods for hydrological purposes.
  - BibTeX
  BibTeX
  @presentation{Sneeuw2018, author = {Sneeuw, N and Tourian, MJ}, entrysubtype = {talk}, location = {TU Delft, The Netherlands}, owner = {NS}, title = {{Hydro-Geodesy}: geodetic satellite methods for hydrological purposes}, year = 2018 }
8. Abou Zaki, N., Torabi Haghighi, A., Rossi, P. M., Tourian, M. J., & Klove, B. (2018). Monitoring Groundwater Storage Depletion Using Gravity Recovery and Climate Experiment (GRACE) Data in the Semi-Arid Catchments. Hydrology and Earth System Sciences Discussions, 1--21. https://doi.org/10.5194/hess-2018-471
  - Abstract
  - BibTeX
  Abstract
  \textlessp\textgreater\textlessstrong\textgreaterAbstract.\textless/strong\textgreater The Bakhtegan catchment, an important agricultural region in south-western Iran, has suffered groundwater depletion in recent years. As groundwater is considered the main source of fresh water in the catchment, especially for agriculture, monitoring groundwater responses to irrigation is important. Gravity Recovery and Climate Experiment (GRACE) satellite data can help determine water mass changes in catchments and assess water volume changes, but have been under-used to date in water resources management. In this study, we compared GRACE-derived water mass data against groundwater volume variations measured in situ. We also assessed the efficiency of GRACE-derived data in catchments smaller than the 200,000 km\textlesssup\textgreater2\textless/sup\textgreater recommended area when using GRACE. For the study period (January 2002 through December 2011), the GRACE data showed a 7.6 mm annual decline in groundwater level, with a total volume loss of 2.6 km\textlesssup\textgreater3\textless/sup\textgreater during the period. The in situ monthly measurements of groundwater level showed an average depletion of 10 m in catchment aquifers during the study period. This depletion rate was supported by the recorded decrease in precipitation volume, especially in the post-drought period after 2007. These results demonstrate that GRACE can be useful in groundwater resources management of catchments facing groundwater depletion and increasing water demand.\textless/p\textgreater
  BibTeX
  @article{AbouZaki2018, abstract = {{\textless}p{\textgreater}{\textless}strong{\textgreater}Abstract.{\textless}/strong{\textgreater} The Bakhtegan catchment, an important agricultural region in south-western Iran, has suffered groundwater depletion in recent years. As groundwater is considered the main source of fresh water in the catchment, especially for agriculture, monitoring groundwater responses to irrigation is important. Gravity Recovery and Climate Experiment (GRACE) satellite data can help determine water mass changes in catchments and assess water volume changes, but have been under-used to date in water resources management. In this study, we compared GRACE-derived water mass data against groundwater volume variations measured in situ. We also assessed the efficiency of GRACE-derived data in catchments smaller than the 200,000{\&}thinsp;km{\textless}sup{\textgreater}2{\textless}/sup{\textgreater} recommended area when using GRACE. For the study period (January 2002 through December 2011), the GRACE data showed a 7.6{\&}thinsp;mm annual decline in groundwater level, with a total volume loss of 2.6{\&}thinsp;km{\textless}sup{\textgreater}3{\textless}/sup{\textgreater} during the period. The in situ monthly measurements of groundwater level showed an average depletion of 10{\&}thinsp;m in catchment aquifers during the study period. This depletion rate was supported by the recorded decrease in precipitation volume, especially in the post-drought period after 2007. These results demonstrate that GRACE can be useful in groundwater resources management of catchments facing groundwater depletion and increasing water demand.{\textless}/p{\textgreater}}, author = {{Abou Zaki}, Nizar and {Torabi Haghighi}, Ali and Rossi, Pekka M. and Tourian, Mohammad J. and Klove, Bj{\o}rn}, doi = {10.5194/hess-2018-471}, file = {:C$\backslash$:/Users/tourian/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Abou Zaki et al. - 2018 - Monitoring Groundwater Storage Depletion Using Gravity Recovery and Climate Experiment (GRACE) Data in the Sem.pdf:pdf}, journal = {Hydrology and Earth System Sciences Discussions}, month = {11}, pages = {1--21}, publisher = {Copernicus GmbH}, title = {{Monitoring Groundwater Storage Depletion Using Gravity Recovery and Climate Experiment (GRACE) Data in the Semi-Arid Catchments}}, year = 2018 }
9. Arabsahebi, R., Voosoghi, B., & Tourian, M. J. (2018). The Inflection-Point Retracking Algorithm: Improved Jason-2 Sea Surface Heights in the Strait of Hormuz. Marine Geodesy. https://doi.org/10.1080/01490419.2018.1448029
  - Abstract
  - BibTeX
  Abstract
  © 2018 Informa UK Limited, trading as Taylor & Francis Group In this study, a waveform retracking algorithm based on finding the inflection-point of the waveform is proposed. After two-steps pre-processing procedure, we employ this method for 145 cycles of Jason-2 data for two tracks 81 and 16 over the Strait of Hormuz. Moreover, we obtain the corrected SSH by the common empirical methods namely Offset Centre of Gravity, Beta and Threshold as well as the ALES. We compare the SSH time series from proposed algorithm with those from common empirical methods. Results are validated against three nearby tide-gauges in the case study. The correlation coefficient and RMSE between the corrected SSH and tide-gages data were computed for three distance classes from the coastline: 0∼5, 5∼10 and 10∼15 kilometer. Our method improves the averaged RMSE of raw SSH up to 41\%, 41\% and 24\%, for these classes over track 81 and 51\%, 38\% and 41\% over track 16, respectively. The averaged correlation values of the proposed method indicate 33\%, 11\% and 2\% improvement over track 81 and are 29\%, 14\% and 3\% over track 16 for three distance groups, respectively. Our method leads to slightly better results than the successful ALES method, especially within the range of 0∼5 km.
  BibTeX
  @article{Arabsahebi2018, abstract = {{\textcopyright} 2018 Informa UK Limited, trading as Taylor {\&} Francis Group In this study, a waveform retracking algorithm based on finding the inflection-point of the waveform is proposed. After two-steps pre-processing procedure, we employ this method for 145 cycles of Jason-2 data for two tracks 81 and 16 over the Strait of Hormuz. Moreover, we obtain the corrected SSH by the common empirical methods namely Offset Centre of Gravity, Beta and Threshold as well as the ALES. We compare the SSH time series from proposed algorithm with those from common empirical methods. Results are validated against three nearby tide-gauges in the case study. The correlation coefficient and RMSE between the corrected SSH and tide-gages data were computed for three distance classes from the coastline: 0∼5, 5∼10 and 10∼15 kilometer. Our method improves the averaged RMSE of raw SSH up to 41{\%}, 41{\%} and 24{\%}, for these classes over track 81 and 51{\%}, 38{\%} and 41{\%} over track 16, respectively. The averaged correlation values of the proposed method indicate 33{\%}, 11{\%} and 2{\%} improvement over track 81 and are 29{\%}, 14{\%} and 3{\%} over track 16 for three distance groups, respectively. Our method leads to slightly better results than the successful ALES method, especially within the range of 0∼5 km.}, author = {Arabsahebi, R. and Voosoghi, B. and Tourian, M.J.}, doi = {10.1080/01490419.2018.1448029}, issn = {1521060X}, journal = {Marine Geodesy}, title = {{The Inflection-Point Retracking Algorithm: Improved Jason-2 Sea Surface Heights in the Strait of Hormuz}}, year = 2018 }
10. Tourian, M. J., Reager, J. T., & Sneeuw, N. (2018). The Total Drainable Water Storage of the Amazon River Basin: A First Estimate Using GRACE. Water Resources Research. https://doi.org/10.1029/2017WR021674
  - Abstract
  - BibTeX
  Abstract
  © 2018. American Geophysical Union. In the Amazon River basin, water stored for months to years in the soils and subsurface provide a persistent resource that regulates local and global climate via teleconnections and provides water to plants in times of little rain. While Gravity Recovery and Climate Experiment (GRACE) satellites have provided the hydrological community with large advances in the understanding of large river basin dynamics and for water resources monitoring applications, the relative storage measurements from GRACE satellites have not yet been utilized for the quantification of total available freshwater on landmasses. In this study, we quantify the total drainable water storage (TDWS) in the Amazon basin by characterizing the relationship between the water storage anomaly of a large catchment and its base flow. Previous studies have shown that these two hydrological parameters behave like a linear time-independent system over a catchment like the Amazon dominated by fully humid tropical climate. This linear relationship allows us to determine a zero water storage level, at which the storage-driven discharge becomes zero. We quantify the TDWS of the Amazon basin as 1,766 km 3 and estimate an average 2 month residence time for stored waters. An independent analysis over nine major subbasins confirms our estimate for the entire basin. We show that our estimated TDWS values for individual subbasins, varying between 15 and 654 km 3 , follow two different linear relationships with their mean annual input. Through these relationships we also quantify the storage-driven portion of the streamflow and the total streamflow for Amazon and its subbasins. Furthermore, we estimate surface water storage variation of the Amazon River system by combining the water level time series from satellite altimetry and surface water extent time series from satellite imagery. Our results show that 61\% of total basin water storage variation occurs in the surface water compartment. In addition, we find that 65\% of the TDWS is available in its surface water system.
  BibTeX
  @article{Tourian2018, abstract = {{\textcopyright} 2018. American Geophysical Union. In the Amazon River basin, water stored for months to years in the soils and subsurface provide a persistent resource that regulates local and global climate via teleconnections and provides water to plants in times of little rain. While Gravity Recovery and Climate Experiment (GRACE) satellites have provided the hydrological community with large advances in the understanding of large river basin dynamics and for water resources monitoring applications, the relative storage measurements from GRACE satellites have not yet been utilized for the quantification of total available freshwater on landmasses. In this study, we quantify the total drainable water storage (TDWS) in the Amazon basin by characterizing the relationship between the water storage anomaly of a large catchment and its base flow. Previous studies have shown that these two hydrological parameters behave like a linear time-independent system over a catchment like the Amazon dominated by fully humid tropical climate. This linear relationship allows us to determine a zero water storage level, at which the storage-driven discharge becomes zero. We quantify the TDWS of the Amazon basin as 1,766 km 3 and estimate an average 2 month residence time for stored waters. An independent analysis over nine major subbasins confirms our estimate for the entire basin. We show that our estimated TDWS values for individual subbasins, varying between 15 and 654 km 3 , follow two different linear relationships with their mean annual input. Through these relationships we also quantify the storage-driven portion of the streamflow and the total streamflow for Amazon and its subbasins. Furthermore, we estimate surface water storage variation of the Amazon River system by combining the water level time series from satellite altimetry and surface water extent time series from satellite imagery. Our results show that 61{\%} of total basin water storage variation occurs in the surface water compartment. In addition, we find that 65{\%} of the TDWS is available in its surface water system.}, author = {Tourian, M.J. and Reager, J.T. and Sneeuw, N.}, doi = {10.1029/2017WR021674}, issn = {19447973}, journal = {Water Resources Research}, title = {{The Total Drainable Water Storage of the Amazon River Basin: A First Estimate Using GRACE}}, year = 2018 }
11. Sneeuw, N., Reager, J. T., & Tourian, M. J. (2018). Total drainable water storage from spaceborne gravimetry.
  - BibTeX
  BibTeX
  @presentation{Sneeuw2018a, author = {Sneeuw, Nico and Reager, John T and Tourian, Mohammad J}, entrysubtype = {talk}, location = {Chinese Academy of Surveying and Mapping, Beijing, {PR} China}, owner = {NS}, title = {Total drainable water storage from spaceborne gravimetry}, year = 2018 }
2017
1. Liu, W., Sneeuw, N., Iran Pour, S., Tourian, M. J., & Reubelt, T. (2017). A Posteriori De-aliasing of Ocean Tide Error in Future Double-Pair Satellite Gravity Missions. International Association of Geodesy Symposia, 1--7. https://doi.org/10.1007/1345_2016_259
  - BibTeX
  BibTeX
  @inproceedings{Liu2017, author = {Liu, Wei and Sneeuw, N. and Iran Pour, Siavash and Tourian, Mohammad J. and Reubelt, T.}, booktitle = {International Association of Geodesy Symposia}, doi = {10.1007/1345_2016_259}, pages = {1--7}, publisher = {Springer International Publishing, Switzerland}, title = {A Posteriori De-aliasing of Ocean Tide Error in Future Double-Pair Satellite Gravity Missions}, year = 2017 }
2. Zhang, J., Tourian, M. J., & Sneeuw, N. (2017). Can the teleconnection between ENSO and the boreal hydrological cycle be revealed by sea surface temperature anomalies?
  - BibTeX
  BibTeX
  @misc{Zhang2017, author = {Zhang, J and Tourian, Mohammad J. and Sneeuw, N}, entrysubtype = {talk}, location = {IAG Workshop SatGeo for Climate Studies, Bonn}, title = {Can the teleconnection between ENSO and the boreal hydrological cycle be revealed by sea surface temperature anomalies?}, year = 2017 }
3. Tourian, M., Elmi, O., Mohammadnejad, A., & Sneeuw, N. (2017). Estimating River Depth from SWOT-Type Observables Obtained by Satellite Altimetry and Imagery. Water, 9(10), Article 10. https://doi.org/10.3390/w9100753
  - BibTeX
  BibTeX
  @article{Tourian2017, author = {Tourian, MJ and Elmi, O and Mohammadnejad, A and Sneeuw, N}, doi = {10.3390/w9100753}, journal = {Water}, month = {09}, number = 10, owner = {NS}, pages = 753, publisher = {{MDPI} {AG}}, title = {Estimating {R}iver {D}epth from {SWOT}-{T}ype {O}bservables {O}btained by {S}atellite {A}ltimetry and {I}magery}, volume = 9, year = 2017 }
4. Daras, I., Visser, P., Sneeuw, N., van Dam, T., Pail, R., Gruber, T., Tabibi, S., Chen, Q., Liu, W., Tourian, M. J., Engels, J., Saemian, P., Siemes, C., & Haagmans, R. (2017). Impact of Orbit Design Choices on the Gravity Field Retrieval of Next Generation Gravity Missions - Insights on the ESA-ADDCON Project.
  - BibTeX
  BibTeX
  @misc{Daras2017, author = {Daras, I. and Visser, P. and Sneeuw, N. and van Dam, T. and Pail, R. and Gruber, T. and Tabibi, S. and Chen, Q. and Liu, W. and Tourian, Mohammad J. and Engels, J. and Saemian, P. and Siemes, C. and Haagmans, R.}, entrysubtype = {talk}, location = {ESA fourth Swarm science meeting, Banff, Alberta, Canada}, title = {Impact of Orbit Design Choices on the Gravity Field Retrieval of Next Generation Gravity Missions - Insights on the ESA-ADDCON Project}, year = 2017 }
5. Elmi, O., Tourian, M. J., & Sneeuw, N. (2017). Markov Random Field Based Waveform Retracking Solved by the Graph Cuts Technique.
  - BibTeX
  BibTeX
  @misc{Elmi2017, author = {Elmi, O. and Tourian, Mohammad J. and Sneeuw, N.}, entrysubtype = {talk}, location = {ESA CryoSat science meeting and geodetic missions, Banff, Alberta, Canada}, title = {Markov Random Field Based Waveform Retracking Solved by the Graph Cuts Technique}, year = 2017 }
6. Sadegh, M., Love, C., Farahmand, A., Mehran, A., Tourian, M. J., & AghaKouchak, A. (2017). Multi-Sensor Remote Sensing of Drought from Space. In V. Lakshmi (Ed.), Remote Sensing of Hydrological Extremes (pp. 219--247). Springer International Publishing. https://doi.org/10.1007/978-3-319-43744-6_11
  - BibTeX
  BibTeX
  @inbook{Sadegh2017, author = {Sadegh, M. and Love, C. and Farahmand, A. and Mehran, A. and Tourian, Mohammad J. and AghaKouchak, A.}, booktitle = {Remote Sensing of Hydrological Extremes}, doi = {10.1007/978-3-319-43744-6_11}, editor = {Lakshmi, Venkat}, isbn = {978-3-319-43744-6}, pages = {219--247}, publisher = {Springer International Publishing}, title = {Multi-Sensor Remote Sensing of Drought from Space}, year = 2017 }
7. Daras, I., Visser, P., Sneeuw, N., van Dam, T., Pail, R., Gruber, T., Chen, Q., Liu, W., Tourian, M. J., Engels, J., Saemian, P., Siemes, C., & Haagmans, R. (2017). Near real-time gravity and its applications in the era of Next Generation Gravity Missions - Insights on the ESA-ADDCON project.
  - BibTeX
  BibTeX
  @misc{Daras2017a, author = {Daras, I. and Visser, P. and Sneeuw, N. and van Dam, T. and Pail, R. and Gruber, T. and Chen, Q. and Liu, W. and Tourian, Mohammad J. and Engels, J. and Saemian, P. and Siemes, C. and Haagmans, R.}, entrysubtype = {talk}, location = {IAG-IASPEI Symposium, Kobe, Japan}, title = {Near real-time gravity and its applications in the era of Next Generation Gravity Missions - Insights on the ESA-ADDCON project}, year = 2017 }
8. Tourian, M. J., Schwatke, C., & Sneeuw, N. (2017). River discharge estimation at daily resolution from satellite altimetry over an entire river basin. Journal of Hydrology, 546, 230--247. https://doi.org/10.1016/j.jhydrol.2017.01.009
  - BibTeX
  BibTeX
  @article{Tourian2017, author = {Tourian, M. J. and Schwatke, C. and Sneeuw, N.}, doi = {10.1016/j.jhydrol.2017.01.009}, journal = {Journal of Hydrology}, month = {03}, pages = {230--247}, publisher = {Elsevier {BV}}, title = {River discharge estimation at daily resolution from satellite altimetry over an entire river basin}, volume = 546, year = 2017 }
9. Tourian, M. J., & Sneeuw, N. (2017). Spatio-temporal downscaling of GRACE water storage changes data at catchment scale.
  - BibTeX
  BibTeX
  @misc{Tourian2017c, author = {Tourian, Mohammad J. and Sneeuw, N}, entrysubtype = {talk}, location = {IAG Workshop SatGeo for Climate Studies, Bonn}, title = {Spatio-temporal downscaling of GRACE water storage changes data at catchment scale}, year = 2017 }
10. Pail, R., Hauk, M., Purkhauser, A., Visser, P., Sneeuw, N., van Dam, T., Gruber, T., Chen, Q., Liu, W., Tourian, M. J., Engels, J., Saemian, P., Siemes, C., & Haagmans, R. (2017). Studies on next-generation gravity missions for climate-relevant applications.
  - BibTeX
  BibTeX
  @misc{Pail2017, author = {Pail, R and Hauk, M and Purkhauser, A and Visser, P and Sneeuw, N and van Dam, T and Gruber, T and Chen, Q and Liu, Wei and Tourian, Mohammad J. and Engels, J and Saemian, P and Siemes, Ch and Haagmans, R}, entrysubtype = {talk}, location = {IAG Workshop SatGeo for Climate Studies, Bonn}, title = {Studies on next-generation gravity missions for climate-relevant applications}, year = 2017 }
11. Saemian, P., Elmi, O., Vishwakarma, B. D., Tourian, M. J., & Sneeuw, N. (2017). The desiccating Lake Urmia is restoring: A multisensor approach to investigate natural and human-induced reasons for increase of lake volume after 2014.
  - BibTeX
  BibTeX
  @misc{Saemian2017, author = {Saemian, P and Elmi, O and Vishwakarma, Bramha Dutt and Tourian, Mohammad J. and Sneeuw, N}, entrysubtype = {poster}, location = {IAG Workshop SatGeo for Climate Studies, Bonn}, title = {The desiccating Lake Urmia is restoring: A multisensor approach to investigate natural and human-induced reasons for increase of lake volume after 2014}, year = 2017 }
12. Tarpanelli, A., Domeneghetti, A., Getirana, A., Elmi, O., Tourian, M. J., & Barbetta, S. (2017). The synergistic use of multiple sensors for hydrological purposes. In J. Benveniste, S. Vignudelli, & A. G. Kostianoy (Eds.), Inland altimetry. Springer-Verlag Berlin Heidelberg.
  - BibTeX
  BibTeX
  @inbook{Tarpanelli2017, author = {Tarpanelli, A. and Domeneghetti, A. and Getirana, A. and Elmi, O. and Tourian, Mohammad J. and Barbetta, S.}, booktitle = {Inland altimetry}, editor = {Benveniste, JÃ©rome and Vignudelli, Stefano and Kostianoy, Andrey G.}, isbn = {978-3-642-22678-6}, publisher = {Springer-Verlag Berlin Heidelberg}, title = {The synergistic use of multiple sensors for hydrological purposes}, year = 2017 }
13. Tourian, M. J., Reager, J. T., & Sneeuw, N. (2017). The total drainable water storage of the Amazon River Basin: a first estimate using GRACE.
  - BibTeX
  BibTeX
  @misc{Tourian2017a, author = {Tourian, Mohammad J. and Reager, J.T. and Sneeuw, N}, entrysubtype = {talk}, location = {Geodetic Week, Berlin, Germany}, title = {The total drainable water storage of the Amazon River Basin: a first estimate using GRACE}, year = 2017 }
2016
1. Liu, W., Iran Pour, S., Tourian, M. J., & Sneeuw, N. (2016). A data-driven method to calculate alias periods for de-aliasing ocean tide errors.
  - BibTeX
  BibTeX
  @misc{Liu2016, author = {Liu, Wei and Iran Pour, Siavash and Tourian, Mohammad J and Sneeuw, Nico}, entrysubtype = {poster}, location = {DAAD Thematic Network, Stuttgart, Germany}, title = {A data-driven method to calculate alias periods for de-aliasing ocean tide errors}, year = 2016 }
2. Liu, W., Sneeuw, N., Pour, S. I., Tourian, M. J., & Reubelt, T. (2016). A Posteriori De-aliasing of Ocean Tide Error in Future Double-Pair Satellite Gravity Missions. In International Symposium on Earth and Environmental Sciences for Future Generations (pp. 103--109). Springer International Publishing. https://doi.org/10.1007/1345_2016_259
  - BibTeX
  BibTeX
  @incollection{Liu2016, author = {Liu, W. and Sneeuw, N. and Pour, S. Iran and Tourian, M. J. and Reubelt, T.}, booktitle = {International Symposium on Earth and Environmental Sciences for Future Generations}, doi = {10.1007/1345_2016_259}, pages = {103--109}, publisher = {Springer International Publishing}, title = {A Posteriori De-aliasing of Ocean Tide Error in Future Double-Pair Satellite Gravity Missions}, year = 2016 }
3. Elmi, O., Tourian, M. J., & Sneeuw, N. (2016). An automatic water body area monitoring algorithm for satellite images based on Markov Random Fields.
  - BibTeX
  BibTeX
  @misc{Elmi2016a, author = {Elmi, O and Tourian, M J and Sneeuw, N}, entrysubtype = {poster}, file = {:ELMI_2016b.pdf:PDF}, location = {EGU 2016, Vienna, Austria}, title = {An automatic water body area monitoring algorithm for satellite images based on Markov Random Fields}, year = 2016 }
4. Kunstmann, H., Lorenz, C., Tourian, M. J., Devaraju, B., & Sneeuw, N. (2016). Basin-scale runoff prediction: An Ensemble Kalman Filter framework based on global hydrometeorological data sets.
  - BibTeX
  BibTeX
  @misc{Kunstmann2016, author = {Kunstmann, H and Lorenz, C and Tourian, M J and Devaraju, B and Sneeuw, N}, entrysubtype = {talk}, location = {EGU 2016, Vienna, Austria}, title = {Basin-scale runoff prediction: An Ensemble Kalman Filter framework based on global hydrometeorological data sets}, year = 2016 }
5. Tourian, M. J., Elmi, O., & Sneeuw, N. (2016). Combining the strength of satellite altimetry and imagery to estimate river discharge. https://www.gis.uni-stuttgart.de/forschung/doc/TOUR_2016f.pdf
  - BibTeX
  - Link
  BibTeX
  @misc{Tourian2016e, author = {Tourian, M. J. and Elmi, O. and Sneeuw, N.}, entrysubtype = {talk}, location = {OSTS meeting 2016, La Rochelle, France}, title = {Combining the strength of satellite altimetry and imagery to estimate river discharge}, url = {https://www.gis.uni-stuttgart.de/forschung/doc/TOUR_2016f.pdf}, year = 2016 }
  Link
  https://www.gis.uni-stuttgart.de/forschung/doc/TOUR_2016f.pdf
6. Sneeuw, N., Li, J., Cai, J., Jiang, W., Xu, X., Chu, Y., Jin, T., Chao, N., Elmi, O., & Tourian, M. (2016). Current and Future Geodetic Satellite Missions for Global Change Monitoring.
  - BibTeX
  BibTeX
  @misc{Sneeuw2016c, author = {Sneeuw, N and Li, J and Cai, J and Jiang, W and Xu, X and Chu, Y and Jin, T and Chao, N and Elmi, O and Tourian, MJ}, entrysubtype = {Proceedings (unreviewed)}, location = {China Dragon Programme III, Chengdu, PR China}, title = {Current and Future Geodetic Satellite Missions for Global Change Monitoring}, year = 2016 }
7. Sneeuw, N., Li, J., Cai, J., Jiang, W., Tourian, M., Elmi, O., Chu, Y., & Jin, T. (2016). Current and future geodetic satellite missions for global change monitoring.
  - BibTeX
  BibTeX
  @misc{Sneeuw2016b, author = {Sneeuw, N and Li, J and Cai, J and Jiang, W and Tourian, MT and Elmi, O and Chu, Y and Jin, T}, entrysubtype = {talk}, location = {Dragon 3 Final Results Symposium, Wuhan, China}, title = {Current and future geodetic satellite missions for global change monitoring}, year = 2016 }
8. Elmi, O., Tourian, M. J., & Sneeuw, N. (2016). Dynamic river masks from multi-temporal satellite imagery: an automatic algorithm using graph cuts optimization.
  - BibTeX
  BibTeX
  @article{Elmi2016, author = {Elmi, O. and Tourian, M. J. and Sneeuw, N.}, journaltitle = {Remote Sensing}, title = {Dynamic river masks from multi-temporal satellite imagery: an automatic algorithm using graph cuts optimization}, year = 2016 }
9. Tourian, M. J., Riegger, J., & Sneeuw, N. (2016). GRACE, 14 years monitoring of the water storage anomaly: how about quantification of total drainable water storage?
  - BibTeX
  BibTeX
  @misc{Tourian2016d, author = {Tourian, M. J. and Riegger, J. and Sneeuw, N.}, entrysubtype = {talk}, file = {:TOUR_2016e.pdf:PDF}, location = {Geodetic Week 2016, Hamburg, Germany}, title = {GRACE, 14 years monitoring of the water storage anomaly: how about quantification of total drainable water storage?}, year = 2016 }
10. Tourian, M. J., Elmi, O., Shafaghi, Y., & Sneeuw, N. (2016). HydroSat: a repository of global water cycle products from spaceborne geodetic sensors.
  - BibTeX
  BibTeX
  @misc{Tourian2016f, author = {Tourian, M. J. and Elmi, O. and Shafaghi, Y. and Sneeuw, N.}, entrysubtype = {poster}, file = {:TOUR_2016g.pdf:PDF}, location = {OSTS meeting 2016, La Rochelle, France}, title = {HydroSat: a repository of global water cycle products from spaceborne geodetic sensors}, year = 2016 }
11. Tourian, M., Thor, R., & Sneeuw, N. (2016). Least-Squares Prediction of Runoff Over Ungauged Basins. In C. Rizos & P. Willis (Eds.), IAG 150 Years -- Proceedings of the IAG Scientific Assembly in Postdam, Germany, 2013 (Vol. 143, pp. 257--261). Springer. https://doi.org/10.1007/1345_2015_170
  - BibTeX
  BibTeX
  @inproceedings{Tourian2016, author = {Tourian, MJ and Thor, R and Sneeuw, N}, booktitle = {IAG 150 Years -- Proceedings of the IAG Scientific Assembly in Postdam, Germany, 2013}, doi = {10.1007/1345_2015_170}, editor = {Rizos, Chris and Willis, Pascal}, entrysubtype = {reviewed}, pages = {257--261}, publisher = {Springer}, series = {IAG Symposia}, title = {Least-Squares Prediction of Runoff Over Ungauged Basins}, volume = 143, year = 2016 }
12. Sadegh, M., Love, C., Farahmand, A., Mehran, A., Tourian, M. J., & AghaKouchak, A. (2016). Multi-Sensor Remote Sensing of Drought from Space. In Springer Remote Sensing/Photogrammetry (pp. 219--247). Springer International Publishing. https://doi.org/10.1007/978-3-319-43744-6_11
  - BibTeX
  BibTeX
  @incollection{Sadegh2016, author = {Sadegh, M. and Love, C. and Farahmand, A. and Mehran, A. and Tourian, M. J. and AghaKouchak, A.}, booktitle = {Springer Remote Sensing/Photogrammetry}, doi = {10.1007/978-3-319-43744-6_11}, month = {11}, pages = {219--247}, publisher = {Springer International Publishing}, title = {Multi-Sensor Remote Sensing of Drought from Space}, year = 2016 }
13. Liu, W., Sneeuw, N., Iran Pour, S., Jiang, W., Tourian, M. J., & Reubelt, T. (2016). Ocean tide aliasing in spaceborne gravimetry: a data-driven determination of the tidal alias spectrum.
  - BibTeX
  BibTeX
  @misc{Liu2016a, author = {Liu, Wei and Sneeuw, Nico and Iran Pour, Siavash and Jiang, Weiping and Tourian, Mohammad J and Reubelt, Tilo}, entrysubtype = {talk}, location = {International Symposium on Gravity, Geoid and Height Systems 2016, Thessaloniki, Greece}, title = {Ocean tide aliasing in spaceborne gravimetry: a data-driven determination of the tidal alias spectrum}, year = 2016 }
14. Tourian, M. J., Sneeuw, N., Losch, M., & Rabe, B. (2016). Response of Arctic sea level and hydrography to hydrological regime change over boreal catchments.
  - BibTeX
  BibTeX
  @misc{Tourian2016b, author = {Tourian, M. J. and Sneeuw, N. and Losch, M. and Rabe, B.}, entrysubtype = {poster}, file = {:TOUR_2016c.pdf:PDF}, location = {EGU 2016, Vienna, Austria}, title = {Response of Arctic sea level and hydrography to hydrological regime change over boreal catchments}, year = 2016 }
15. Tourian, M. J., & Sneeuw, N. (2016). River discharge estimation from multi-mission altimetry with optimized spatial coverage and temporal resolution.
  - BibTeX
  BibTeX
  @misc{Tourian2016a, author = {Tourian, M. J. and Sneeuw, N.}, entrysubtype = {poster}, file = {:TOUR_2016b.pdf:PDF}, location = {EGU 2016, Vienna, Austria}, title = {River discharge estimation from multi-mission altimetry with optimized spatial coverage and temporal resolution}, year = 2016 }
16. Tourian, M. J., Tarpanelli, A., Elmi, O., Qin, T., Brocca, L., Moramarco, T., & Sneeuw, N. (2016). Spatiotemporal densification of river water level time series by multimission satellite altimetry. Water Resources Research, 52(2), Article 2. https://doi.org/10.1002/2015wr017654
  - BibTeX
  BibTeX
  @article{Tourian2016, author = {Tourian, M. J. and Tarpanelli, A. and Elmi, O. and Qin, T. and Brocca, L. and Moramarco, T. and Sneeuw, N.}, doi = {10.1002/2015wr017654}, journal = {Water Resources Research}, month = {02}, number = 2, pages = {1140--1159}, publisher = {American Geophysical Union ({AGU})}, title = {Spatiotemporal densification of river water level time series by multimission satellite altimetry}, volume = 52, year = 2016 }
17. Domeneghetti, A., Tarpanelli, A., Tourian, M. J., Brocca, L., Moramarco, T., Castellarin, A., & Sneeuw, N. (2016). The Benefit of Multi-Mission Altimetry Series for the Calibration of Hydraulic Models.
  - BibTeX
  BibTeX
  @misc{Domeneghetti2016, author = {Domeneghetti, A and Tarpanelli, A and Tourian, M J and Brocca, L and Moramarco, T and Castellarin, A and Sneeuw, N}, entrysubtype = {poster}, location = {EGU 2016, Vienna, Austria}, title = {The Benefit of Multi-Mission Altimetry Series for the Calibration of Hydraulic Models}, year = 2016 }
2015
1. Elmi, O., Tourian, M. J., & Sneeuw, N. (2015). A comparison between Landsat and MODIS images for estimating discharge from river width.
  - BibTeX
  BibTeX
  @misc{Elmi2015e, author = {Elmi, O and Tourian, M J and Sneeuw, N}, entrysubtype = {talk}, location = {36\textsuperscript{th} International Symposium on Remote Sensing of Environment (ISRSE36), Berlin, Germany}, title = {A comparison between Landsat and MODIS images for estimating discharge from river width}, year = 2015 }
2. Tourian, M. J., & Sneeuw, N. (2015). A Kalman Filter approach to estimate river discharge using altimetric water level time series.
  - BibTeX
  BibTeX
  @misc{Tourian2015a, author = {Tourian, M J and Sneeuw, N}, entrysubtype = {talk}, location = {Third Space for Hydrology Workshop 2015, ESA-ESRIN, Frascati, Italy}, title = {A Kalman Filter approach to estimate river discharge using altimetric water level time series}, year = 2015 }
3. Tourian, M. J., Elmi, O., Chen, Q., Devaraju, B., Roohi, Sh., & Sneeuw, N. (2015). A spaceborne multisensor approach to monitor the desiccation of Lake Urmia in Iran. Remote Sensing of Environment, 156, 349--360. https://doi.org/10.1016/j.rse.2014.10.006
  - BibTeX
  BibTeX
  @article{Tourian2015a, author = {Tourian, M. J. and Elmi, O. and Chen, Q. and Devaraju, B. and Roohi, Sh. and Sneeuw, N.}, doi = {10.1016/j.rse.2014.10.006}, journal = {Remote Sensing of Environment}, month = {01}, pages = {349--360}, publisher = {Elsevier {BV}}, title = {A spaceborne multisensor approach to monitor the desiccation of Lake Urmia in Iran}, volume = 156, year = 2015 }
4. Elmi, O., Tourian, M. J., & Sneeuw, N. (2015). An automatic water body area monitoring algorithm for satellite images based on Markov Random Fields.
  - BibTeX
  BibTeX
  @misc{Elmi2015c, author = {Elmi, Omid and Tourian, Mohammad J and Sneeuw, Nico}, entrysubtype = {talk}, location = {Geodetic Week 2015, Stuttgart, Germany}, title = {An automatic water body area monitoring algorithm for satellite images based on Markov Random Fields}, year = 2015 }
5. Lorenz, C., Tourian, M. J., Devaraju, B., Sneeuw, N., & Kunstmann, H. (2015). Basin-scale runoff prediction: An E nsemble K alman F ilter framework based on global hydrometeorological data sets. Water Resources Research, 51(10), Article 10. https://doi.org/10.1002/2014wr016794
  - BibTeX
  BibTeX
  @article{Lorenz2015, author = {Lorenz, Christof and Tourian, Mohammad J. and Devaraju, Balaji and Sneeuw, Nico and Kunstmann, Harald}, doi = {10.1002/2014wr016794}, journal = {Water Resources Research}, month = {10}, number = 10, pages = {8450--8475}, publisher = {American Geophysical Union ({AGU})}, title = {Basin-scale runoff prediction: An E nsemble K alman F ilter framework based on global hydrometeorological data sets}, volume = 51, year = 2015 }
6. Elmi, O., Tourian, M. J., & Sneeuw, N. (2015). Comparison of different automatic adaptive threshold selection techniques for estimating discharge from river width.
  - BibTeX
  BibTeX
  @misc{Elmi2015b, author = {Elmi, Omid and Tourian, Mohammad J and Sneeuw, Nico}, entrysubtype = {poster}, location = {EGU, Vienna, Austria}, title = {Comparison of different automatic adaptive threshold selection techniques for estimating discharge from river width}, year = 2015 }
7. Wang, L., Van Dam, T., Weigelt, M., Tourian, M. J., Chen, Q., & Sneeuw, N. (2015). Continental water storage variations inferred from 3-D GPS coordinates timeseries for the major river basins in Europe and North America.
  - BibTeX
  BibTeX
  @misc{Wang2015, author = {Wang, L and Van Dam, T and Weigelt, M and Tourian, M J and Chen, Q and Sneeuw, N}, entrysubtype = {poster}, location = {IUGG, Prague, Czech Republic}, title = {Continental water storage variations inferred from 3-D GPS coordinates timeseries for the major river basins in Europe and North America}, year = 2015 }
8. Liu, W., Iran Pour, S., Tourian, M. J., & Sneeuw, N. (2015). De-aliasing of ocean tide error in future dual-pair satellite gravity missions.
  - BibTeX
  BibTeX
  @misc{Liu2015a, author = {Liu, W and Iran Pour, S and Tourian, M J and Sneeuw, N}, entrysubtype = {talk}, location = {IUGG, Prague, Czech Republic}, title = {De-aliasing of ocean tide error in future dual-pair satellite gravity missions}, year = 2015 }
9. Domeneghetti, A., Tarpanelli, A., Tourian, M. J., Brocca, L., Moramarco, T., Castellarin, A., & Sneeuw, N. (2015). Hydraulic model calibration by using satellite altimetry: comparison of different products.
  - BibTeX
  BibTeX
  @misc{Domeneghetti2015, author = {Domeneghetti, A and Tarpanelli, A and Tourian, M J and Brocca, L and Moramarco, T and Castellarin, A and Sneeuw, N}, entrysubtype = {talk}, location = {Third Space for Hydrology Workshop, ESA-ESRIN, Frascati, Italy}, title = {Hydraulic model calibration by using satellite altimetry: comparison of different products}, year = 2015 }
10. Liu, W., Iran Pour, S., Tourian, M. J., Reubelt, T., & Sneeuw, N. (2015). Impact of satellite repeat period and gravity recovery resolution on ocean tide aliasing periods.
  - BibTeX
  BibTeX
  @misc{Liu2015, author = {Liu, W and Iran Pour, S and Tourian, M J and Reubelt, T and Sneeuw, N}, entrysubtype = {poster}, location = {Geod\"{a}tische Woche, Stuttgart, Germany}, title = {Impact of satellite repeat period and gravity recovery resolution on ocean tide aliasing periods}, year = 2015 }
11. Elmi, O., Tourian, M. J., & Sneeuw, N. (2015). Improving the temporal and spatial resolution of water level time series over Po River (Italy) obtained by satellite altimetry.
  - BibTeX
  BibTeX
  @misc{Elmi2015d, author = {Elmi, O and Tourian, M J and Sneeuw, N}, entrysubtype = {poster}, location = {IGARSS 2015, Milan, Italy}, title = {Improving the temporal and spatial resolution of water level time series over Po River (Italy) obtained by satellite altimetry}, year = 2015 }
12. Tourian, M. J., Qin, T., Elmi, O., Tarpanelli, A., Brocca, L., Maramarco, T., & Sneeuw, N. (2015). Improving the temporal and spatial resolution of water level time series over Po River (Italy) obtained by satellite altimetry.
  - BibTeX
  BibTeX
  @misc{Tourian2015, author = {Tourian, Mohammad J and Qin, T and Elmi, Omid and Tarpanelli, A and Brocca, Luca and Maramarco, Tomasso and Sneeuw, Nico}, entrysubtype = {talk}, location = {IGARSS 2015, Milan, Italy}, title = {Improving the temporal and spatial resolution of water level time series over Po River (Italy) obtained by satellite altimetry}, year = 2015 }
13. Tourian, M. J., Thor, R., & Sneeuw, N. (2015). Least-Squares Prediction of Runoff Over Ungauged Basins. In International Association of Geodesy Symposia (pp. 257--261). Springer International Publishing. https://doi.org/10.1007/1345_2015_170
  - BibTeX
  BibTeX
  @incollection{Tourian2015, author = {Tourian, Mohammad J. and Thor, Robin and Sneeuw, Nico}, booktitle = {International Association of Geodesy Symposia}, doi = {10.1007/1345_2015_170}, pages = {257--261}, publisher = {Springer International Publishing}, title = {Least-Squares Prediction of Runoff Over Ungauged Basins}, year = 2015 }
14. Aghakouchak, A., & Tourian, M. J. (2015). Multi-Sensor Drought Monitoring, Prediction and Recovery Assessment Using Gravimetry Information.
  - BibTeX
  BibTeX
  @misc{Aghakouchak2015, author = {Aghakouchak, A and Tourian, M J}, entrysubtype = {talk}, location = {EGU, Vienna, Austria}, title = {Multi-Sensor Drought Monitoring, Prediction and Recovery Assessment Using Gravimetry Information}, year = 2015 }
15. Riegger, J., & Tourian, M. J. (2015). Operational Forecast of Runoff from Large Scale Basins using Satellite Gravimetry and Remote Sensing.
  - BibTeX
  BibTeX
  @misc{Riegger2015, author = {Riegger, J and Tourian, M J}, entrysubtype = {talk}, location = {EGU, Vienna, Austria}, title = {Operational Forecast of Runoff from Large Scale Basins using Satellite Gravimetry and Remote Sensing}, year = 2015 }
16. Lorenz, C., Tourian, M. J., Devaraju, B., Sneeuw, N., & Kunstmann, H. (2015). Prediction of basin-scale runoff using an Ensemble Kalman filter framework based on global hydrometeorological datasets.
  - BibTeX
  BibTeX
  @misc{Lorenz2015a, author = {Lorenz, C and Tourian, M J and Devaraju, B and Sneeuw, N and Kunstmann, H}, entrysubtype = {talk}, location = {IUGG, Prague, Czech Republic}, title = {Prediction of basin-scale runoff using an Ensemble Kalman filter framework based on global hydrometeorological datasets}, year = 2015 }
17. Tourian, M. J., Tarpanelli, A., Elmi, O., Qin, T., Brocca, L., Moramarco, T., & Sneeuw, N. (2015). River discharge estimation along the Po river from densified water level time series of multi-mission satellite altimetry spatially and temporally.
  - BibTeX
  BibTeX
  @misc{Tourian2015b, author = {Tourian, M J and Tarpanelli, A and Elmi, O and Qin, T and Brocca, L and Moramarco, T and Sneeuw, N}, entrysubtype = {poster}, location = {Third Space for Hydrology Workshop, ESA-ESRIN, Frascati, Italy}, title = {River discharge estimation along the Po river from densified water level time series of multi-mission satellite altimetry spatially and temporally}, year = 2015 }
18. Elmi, O., Tourian, M. J., & Sneeuw, N. (2015, July). River discharge estimation using channel width from satellite imagery. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). https://doi.org/10.1109/igarss.2015.7325867
  - BibTeX
  BibTeX
  @inproceedings{Elmi2015, author = {Elmi, Omid and Tourian, Mohammad J. and Sneeuw, Nico}, booktitle = {2015 {IEEE} International Geoscience and Remote Sensing Symposium ({IGARSS})}, doi = {10.1109/igarss.2015.7325867}, month = {07}, publisher = {{IEEE}}, title = {River discharge estimation using channel width from satellite imagery}, year = 2015 }
2014
1. Tourian, M. J., Elmi, O., Chen, Q., Devaraju, B., Roohi, S., & Sneeuw, N. (2014). A spaceborne multisensor approach to monitor the desiccation of Lake Urmia in Iran. 156, 349--360. https://doi.org/10.1016/j.rse.2014.10.006
  - BibTeX
  BibTeX
  @article{Tourian2014, author = {Tourian, M J and Elmi, O and Chen, Q and Devaraju, B and Roohi, S and Sneeuw, N}, doi = {10.1016/j.rse.2014.10.006}, journaltitle = {Remote Sensing of Environment}, pages = {349--360}, title = {A spaceborne multisensor approach to monitor the desiccation of Lake Urmia in Iran}, volume = 156, year = 2014 }
2. Riegger, J., & Tourian, M. J. (2014). Characterization of runoff-storage relationships by satellite gravimetry and remote sensing. Water Resources Research, 50(4), Article 4. https://doi.org/10.1002/2013wr013847
  - BibTeX
  BibTeX
  @article{Riegger2014, author = {Riegger, J. and Tourian, M. J.}, doi = {10.1002/2013wr013847}, journal = {Water Resources Research}, month = {04}, number = 4, pages = {3444--3466}, publisher = {American Geophysical Union ({AGU})}, title = {Characterization of runoff-storage relationships by satellite gravimetry and remote sensing}, volume = 50, year = 2014 }
3. Wang, L., Van Dam, T., Weigelt, M., Tourian, M. J., Chen, Q., & Sneeuw, N. (2014). Continental water storage inferred from 3-D GPS coordinates in Danube Basin. http://labs.adsabs.harvard.edu/adsabsadsabs/abs/2014AGUFM.G23A0464V/
  - BibTeX
  - Link
  BibTeX
  @misc{Wang2014, author = {Wang, L and Van Dam, T and Weigelt, M and Tourian, M J and Chen, Q and Sneeuw, N}, entrysubtype = {poster}, location = {AGU Fall Meeting 2014, San Francisco, USA}, title = {Continental water storage inferred from 3-D GPS coordinates in Danube Basin}, url = {http://labs.adsabs.harvard.edu/adsabsadsabs/abs/2014AGUFM.G23A0464V/}, year = 2014 }
  Link
  http://labs.adsabs.harvard.edu/adsabsadsabs/abs/2014AGUFM.G23A0464V/
4. Sneeuw, N., Li, J., Baur, O., Cai, J., Tourian, M. J., Elmi, O., Jiang, W., Chu, Y., Jin, T., Wirnsberger, H., Krauss, S., & Maier, A. (2014). Current and Future Geodetic Satellite Missions for Global Change Monitoring (ESA SP-724). ESA SP-724, Article ESA SP-724.
  - BibTeX
  BibTeX
  @inproceedings{Sneeuw2014b, author = {Sneeuw, N and Li, J and Baur, O and Cai, J and Tourian, M J and Elmi, O and Jiang, W and Chu, Y and Jin, T and Wirnsberger, H and Krauss, S and Maier, A}, entrysubtype = {non-reviewed}, file = {:SNEE_2014a.pdf:PDF}, number = {ESA SP-724}, pages = 6, title = {Current and Future Geodetic Satellite Missions for Global Change Monitoring}, year = 2014 }
5. Sneeuw, N., Cai, J., & Tourian, M. J. (2014). Current and Future Geodetic Satellite Missions for Global Change Monitoring GSM4GCM.
  - BibTeX
  BibTeX
  @misc{Sneeuw2014a, author = {Sneeuw, N and Cai, J and Tourian, M J}, entrysubtype = {talk}, location = {Dragon 3 Mid-Term Results Symposium, Chengdu, China}, title = {Current and Future Geodetic Satellite Missions for Global Change Monitoring GSM4GCM}, year = 2014 }
6. Tourian, M. J., Lorenz, C., Devaraju, B., Riegger, J., Kunstmann, H., & Sneeuw, N. (2014). Discharge Estimation Using Hydro-Geodetic Approaches. https://agu.confex.com/agu/fm14/meetingapp.cgi/Paper/5081
  - BibTeX
  - Link
  BibTeX
  @misc{Tourian2014a, author = {Tourian, M J and Lorenz, C and Devaraju, B and Riegger, J and Kunstmann, H and Sneeuw, N}, entrysubtype = {poster}, location = {AGU Fall Meeting 2014, San Francisco, USA}, title = {Discharge Estimation Using Hydro-Geodetic Approaches}, url = {https://agu.confex.com/agu/fm14/meetingapp.cgi/Paper/5081}, year = 2014 }
  Link
  https://agu.confex.com/agu/fm14/meetingapp.cgi/Paper/5081
7. Sneeuw, N., Lorenz, C., Devaraju, B., Tourian, M. J., Riegger, J., Kunstmann, H., & Bárdossy, A. (2014). Estimating Runoff Using Hydro-Geodetic Approaches. Surveys in Geophysics, 35(6), Article 6. https://doi.org/10.1007/s10712-014-9300-4
  - BibTeX
  BibTeX
  @article{Sneeuw2014, author = {Sneeuw, Nico and Lorenz, Christof and Devaraju, Balaji and Tourian, Mohammad J. and Riegger, Johannes and Kunstmann, Harald and B{\'{a}}rdossy, Andr{\'{a}}s}, doi = {10.1007/s10712-014-9300-4}, journal = {Surveys in Geophysics}, month = {09}, number = 6, pages = {1333--1359}, publisher = {Springer Science and Business Media {LLC}}, title = {Estimating Runoff Using Hydro-Geodetic Approaches}, volume = 35, year = 2014 }
8. Sneeuw, N., Lorenz, C., Devaraju, Band Tourian, M. J., Riegger, J., Kunstmann, H., & Bardossy, A. (2014). Estimating runoff using hydro-geodetic approaches: Status and challenges (6). 35(6), Article 6. https://doi.org/10.1007/s10712-014-9300-4
  - BibTeX
  BibTeX
  @article{Sneeuw2014c, author = {Sneeuw, N and Lorenz, C and {Devaraju, Band Tourian}, M J and Riegger, J and Kunstmann, H and Bardossy, A}, doi = {10.1007/s10712-014-9300-4}, journaltitle = {Surveys in Geophysics}, number = 6, pages = {1333--1359}, title = {Estimating runoff using hydro-geodetic approaches: Status and challenges}, volume = 35, year = 2014 }
9. Weigelt, M., Baur, O., Steffen, H., Jäggi, A., Mayer-Gürr, T., Van Dam, T., Tourian, M. J., Sosnica, K., Zehentner, N., & Sneeuw, N. (2014). How well can the combination of hlSST and SLR replace GRACE?
  - BibTeX
  BibTeX
  @misc{Weigelt2014, author = {Weigelt, M and Baur, O and Steffen, H and Jäggi, A and Mayer-Gürr, T and Van Dam, T and Tourian, M J and Sosnica, K and Zehentner, N and Sneeuw, N}, entrysubtype = {talk}, file = {:WEIG_2014a.pdf:PDF}, location = {GRACE Science Team Meeting, Potsdam, Germany}, title = {How well can the combination of hlSST and SLR replace GRACE?}, year = 2014 }
10. Tourian, M. J., Qin, T., Tarpanelli, A., Brocca, L., Moramarco, T., & Sneeuw, N. (2014). Improving the temporal and spatial resolution of water level time series over Po River (Italy) obtained by multi-mission satellite altimetry.
  - BibTeX
  BibTeX
  @misc{Tourian2014b, author = {Tourian, M J and Qin, T and Tarpanelli, A and Brocca, L and Moramarco, T and Sneeuw, N}, entrysubtype = {talk}, file = {:TOUR_2014a.pdf:PDF}, location = {New frontiers of altimetry -- Ocean Surface Topography Science Team Meeting (OSTST), Constance, Germany}, title = {Improving the temporal and spatial resolution of water level time series over Po River (Italy) obtained by multi-mission satellite altimetry}, year = 2014 }
11. Sneeuw, N., Tourian, M. J., Elmi, O., Roohi, S., Chen, Q., & Devaraju, B. (2014). Komplementarität geodätischer Raumverfahren -- ein hydrogeodätisches Beispiel.
  - BibTeX
  BibTeX
  @misc{Sneeuw2014e, author = {Sneeuw, N and Tourian, M J and Elmi, O and Roohi, S and Chen, Q and Devaraju, B}, entrysubtype = {talk}, location = {Geodätische Woche Berlin, München, Germany}, title = {Komplementarität geodätischer Raumverfahren -- ein hydrogeodätisches Beispiel}, year = 2014 }
12. Lorenz, C., Kunstmann, H., Devaraju, B., Tourian, M. J., Sneeuw, N., & Riegger, J. (2014). Large-Scale Runoff from Landmasses: A Global Assessment of the Closure of the Hydrological and Atmospheric Water Balances (6). 15(6), Article 6. https://doi.org/10.1175/jhm-d-13-0157.1
  - BibTeX
  BibTeX
  @article{Lorenz2014, author = {Lorenz, C and Kunstmann, H and Devaraju, B and Tourian, M J and Sneeuw, N and Riegger, J}, doi = {10.1175/jhm-d-13-0157.1}, journaltitle = {Journal of Hydrometeorology}, number = 6, pages = {2111--2139}, title = {Large-Scale Runoff from Landmasses: A Global Assessment of the Closure of the Hydrological and Atmospheric Water Balances}, volume = 15, year = 2014 }
13. Lorenz, C., Kunstmann, H., Devaraju, B., Tourian, M. J., Sneeuw, N., & Riegger, J. (2014). Large-Scale Runoff from Landmasses: A Global Assessment of the Closure of the Hydrological and Atmospheric Water Balances\ast. Journal of Hydrometeorology, 15(6), Article 6. https://doi.org/10.1175/jhm-d-13-0157.1
  - BibTeX
  BibTeX
  @article{Lorenz2014, author = {Lorenz, Christof and Kunstmann, Harald and Devaraju, Balaji and Tourian, Mohammad J. and Sneeuw, Nico and Riegger, Johannes}, doi = {10.1175/jhm-d-13-0157.1}, journal = {Journal of Hydrometeorology}, month = {12}, number = 6, pages = {2111--2139}, publisher = {American Meteorological Society}, title = {Large-Scale Runoff from Landmasses: A Global Assessment of the Closure of the Hydrological and Atmospheric Water Balances{\ast}}, volume = 15, year = 2014 }
14. Wu, G., Tourian, M. J., & Sneeuw, N. (2014). Monitoring Lake Level Variations in Yangtze River Basin Derived from Multi-Mission Satellite Altimetry.
  - BibTeX
  BibTeX
  @misc{Wu2014, author = {Wu, G and Tourian, M J and Sneeuw, N}, entrysubtype = {poster}, location = {EGU General Assembly, Vienna, Austria}, title = {Monitoring Lake Level Variations in Yangtze River Basin Derived from Multi-Mission Satellite Altimetry}, year = 2014 }
15. Sneeuw, N., Tourian, M. J., Elmi, O., Roohi, S., & Chen, Q. (2014). Multi-mission monitoring of the desiccation of Lake Urmia in Iran.
  - BibTeX
  BibTeX
  @misc{Sneeuw2014d, author = {Sneeuw, N and Tourian, M J and Elmi, O and Roohi, S and Chen, Q}, entrysubtype = {talk}, location = {Ocean Surface Topography Science Team Meeting (OSTST), Constance, Germany}, title = {Multi-mission monitoring of the desiccation of Lake Urmia in Iran}, year = 2014 }
16. Weigelt, Mand Van Dam, T., Baur, O., Steffen, H., Tourian, M. J., Jäggi, A., Prange, L., Meyer, U., Bock, H., Mayer-Gürr, T., Zehentner, N., & Sneeuw, N. (2014). Pushing the limits of gravity field recovery from high-low satellite-to-satellite tracking -- a combination of 10 years of data of the satellite pseudo-constellation CHAMP, GRACE and GOCE. http://www.bernese.unibe.ch/publist/2014/pres/mw_EGU_2014.pdf
  - BibTeX
  - Link
  BibTeX
  @misc{Weigelt2014b, author = {{Weigelt, Mand Van Dam}, T and Baur, O and Steffen, H and Tourian, M J and Jäggi, A and Prange, L and Meyer, U and Bock, H and Mayer-Gürr, T and Zehentner, N and Sneeuw, N}, entrysubtype = {talk}, location = {EGU General Assembly, Vienna, Austria}, title = {Pushing the limits of gravity field recovery from high-low satellite-to-satellite tracking -- a combination of 10 years of data of the satellite pseudo-constellation CHAMP, GRACE and GOCE}, url = {http://www.bernese.unibe.ch/publist/2014/pres/mw_EGU_2014.pdf}, year = 2014 }
  Link
  http://www.bernese.unibe.ch/publist/2014/pres/mw_EGU_2014.pdf
17. Zhang, J., Tourian, M. J., & Sneeuw, N. (2014). River discharge estimation of Yangtze River by least-squares prediction.
  - BibTeX
  BibTeX
  @misc{Zhang2014a, author = {Zhang, J and Tourian, M J and Sneeuw, N}, comment = {Geodätische Woche}, entrysubtype = {poster}, location = {Geodätische Woche, Berlin, Germany}, privnote = {Geodätische Woche}, title = {River discharge estimation of Yangtze River by least-squares prediction}, year = 2014 }
18. Elmi, O., Tourian, M. J., & Sneeuw, N. (2014). River discharge estimation using channel width measurements from satellite imagery (MODIS).
  - BibTeX
  BibTeX
  @misc{Elmi2014, author = {Elmi, O and Tourian, M J and Sneeuw, N}, entrysubtype = {talk}, file = {:ELMI_2014a.pdf:PDF}, location = {Geodätische Woche 2014, Berlin, Germany}, title = {River discharge estimation using channel width measurements from satellite imagery (MODIS)}, year = 2014 }
19. Zhang, J., Tourian, M. J., & Sneeuw, N. (2014). Storage and discharge estimation of Danube basin by least-squares prediction.
  - BibTeX
  BibTeX
  @misc{Zhang2014, author = {Zhang, J and Tourian, M J and Sneeuw, N}, entrysubtype = {poster}, file = {:ZHAN_2014a.pdf:PDF}, location = {Geodätische Woche, Berlin, Germany}, title = {Storage and discharge estimation of Danube basin by least-squares prediction}, year = 2014 }
2013
1. Elmi, O., Tourian, M. J., & Sneeuw, N. (2013). A comparison between remote sensing approaches to water extent monitoring.
  - BibTeX
  BibTeX
  @misc{Elmi2013a, author = {Elmi, O and Tourian, M J and Sneeuw, N}, entrysubtype = {talk}, location = {EGU General Assembly, Vienna, Austria}, title = {A comparison between remote sensing approaches to water extent monitoring}, year = 2013 }
2. Tourian, M. J., Elmi, O., & Sneeuw, N. (2013). A multi-sensor approach to monitor the desiccation of Lake Urmia in Iran.
  - BibTeX
  BibTeX
  @misc{Tourian2013, author = {Tourian, M J and Elmi, O and Sneeuw, N}, entrysubtype = {Poster}, file = {:TOUR_2013a.pdf:PDF}, location = {EGU General Assembly, Vienna, Austria}, title = {A multi-sensor approach to monitor the desiccation of Lake Urmia in Iran}, year = 2013 }
3. Tourian, M. J., Sneeuw, N., & Bárdossy, A. (2013). A quantile function approach to discharge estimation from satellite altimetry (ENVISAT) (7). 49(7), Article 7. https://doi.org/10.1002/wrcr.20348
  - BibTeX
  BibTeX
  @article{Tourian2013b, author = {Tourian, M J and Sneeuw, N and Bárdossy, A}, doi = {10.1002/wrcr.20348}, journaltitle = {Water Resources Research}, number = 7, pages = {1--13}, title = {A quantile function approach to discharge estimation from satellite altimetry (ENVISAT)}, volume = 49, year = 2013 }
4. Tourian, M. J., Sneeuw, N., & Bárdossy, A. (2013). A quantile function approach to discharge estimation from satellite altimetry (ENVISAT). Water Resources Research, 49(7), Article 7. https://doi.org/10.1002/wrcr.20348
  - BibTeX
  BibTeX
  @article{Tourian2013, author = {Tourian, M. J. and Sneeuw, N. and B{\'{a}}rdossy, A.}, doi = {10.1002/wrcr.20348}, journal = {Water Resources Research}, month = {07}, number = 7, pages = {4174--4186}, publisher = {American Geophysical Union ({AGU})}, title = {A quantile function approach to discharge estimation from satellite altimetry ({ENVISAT})}, volume = 49, year = 2013 }
5. Sahami Shirazi, A., Clawson, J., Hassanpour, Y., Tourian, M. J., Schmidt, A., Chi, E. H., Borazio, M., & van Laerhoven, K. (2013). Already Up? Using Mobile Phones to Track & Share Sleep Behavior (9). 71(9), Article 9. https://doi.org/10.1016/j.ijhcs.2013.03.001
  - BibTeX
  BibTeX
  @article{SahamiShirazi2013, author = {Sahami Shirazi, A and Clawson, J and Hassanpour, Y and Tourian, M J and Schmidt, A and Chi, E H and Borazio, M and van Laerhoven, K}, doi = {10.1016/j.ijhcs.2013.03.001}, journaltitle = {International Journal of Human-Computer Studies}, number = 9, pages = {878--888}, title = {Already Up? Using Mobile Phones to Track \& Share Sleep Behavior}, volume = 71, year = 2013 }
6. Wang, L., Van Dam, T., Weigelt, M., Chen, Q., Tourian, M. J., & Sneeuw, N. (2013). An inversion approach for determining water storage change from 3-D GPS coordinates time series in Europe.
  - BibTeX
  BibTeX
  @misc{Wang2013, author = {Wang, L and Van Dam, T and Weigelt, M and Chen, Q and Tourian, M J and Sneeuw, N}, entrysubtype = {talk}, file = {:WANG_2013a.pdf:PDF}, location = {IAG Scientific Assembly, Potsdam, Germany}, title = {An inversion approach for determining water storage change from 3-D GPS coordinates time series in Europe}, year = 2013 }
7. Tourian, M. J. (2013). Application of spaceborne geodetic sensors for hydrology [Phdthesis, University of Stuttgart]. https://doi.org/10.18419/opus-3929
  - BibTeX
  - Link
  BibTeX
  @phdthesis{Tourian2013a, author = {Tourian, M. J.}, doi = {10.18419/opus-3929}, school = {University of Stuttgart}, title = {Application of spaceborne geodetic sensors for hydrology}, type = {phdthesis}, url = {http://dx.doi.org/10.18419/opus-3929}, year = 2013 }
  Link
  http://dx.doi.org/10.18419/opus-3929
8. Riegger, J., & Tourian, M. J. (2013). Characterization of Runoff-Storage Relationships by Satellite-Gravimetry and Remote Sensing. http://meetingorganizer.copernicus.org/EGU2013/EGU2013-5387.pdf
  - BibTeX
  - Link
  BibTeX
  @misc{Riegger2013, author = {Riegger, J and Tourian, M J}, entrysubtype = {talk}, location = {EGU General Assembly, Vienna, Austria}, title = {Characterization of Runoff-Storage Relationships by Satellite-Gravimetry and Remote Sensing}, url = {http://meetingorganizer.copernicus.org/EGU2013/EGU2013-5387.pdf}, year = 2013 }
  Link
  http://meetingorganizer.copernicus.org/EGU2013/EGU2013-5387.pdf
9. Wu, G., Elmi, O., Tourian, M. J., & Sneeuw, N. (2013). Combined Measurement of Lake Levels and Surface Extent Change in the Yangtze River Basin.
  - BibTeX
  BibTeX
  @misc{Wu2013a, author = {Wu, G and Elmi, O and Tourian, M J and Sneeuw, N}, entrysubtype = {poster}, location = {Dragon III Symposium, Palermo, Italy}, title = {Combined Measurement of Lake Levels and Surface Extent Change in the Yangtze River Basin}, year = 2013 }
10. Wu, G., Elmi, O., Tourian, M. J., & Sneeuw, N. (2013). Combined Measurements of Lake Level and Surface Extent Change.
  - BibTeX
  BibTeX
  @misc{Wu2013, author = {Wu, G and Elmi, O and Tourian, M J and Sneeuw, N}, entrysubtype = {poster}, location = {ESA Living Planet Symposium, Edinburgh, UK}, title = {Combined Measurements of Lake Level and Surface Extent Change}, year = 2013 }
11. Wu, G., Elmi, O., Tourian, M. J., & Sneeuw, N. (2013). Combined Measurements of Lake Levels and Surface Extent Change. https://www.gis.uni-stuttgart.de/forschung/doc/WU_2013a.pdf
  - BibTeX
  - Link
  BibTeX
  @misc{Wu2013b, author = {Wu, G and Elmi, O and Tourian, M J and Sneeuw, N}, entrysubtype = {poster}, location = {Geodätische Woche, Essen, Germany}, title = {Combined Measurements of Lake Levels and Surface Extent Change}, url = {https://www.gis.uni-stuttgart.de/forschung/doc/WU_2013a.pdf}, year = 2013 }
  Link
  https://www.gis.uni-stuttgart.de/forschung/doc/WU_2013a.pdf
12. Sneeuw, N., Devaraju, B., & Tourian, M. J. (2013). Die Vermessung der Welt -- aus dem All. In Der Traum vom Fliegen (9; Issue 9, pp. 56--63). Universität Stuttgart. http://www.uni-stuttgart.de/hkom/publikationen/themenheft/09/index.html
  - BibTeX
  - Link
  BibTeX
  @incollection{Sneeuw2013a, author = {Sneeuw, N and Devaraju, B and Tourian, M J}, booktitle = {Der Traum vom Fliegen}, number = 9, pages = {56--63}, publisher = {Universität Stuttgart}, series = {Themenheft Forschung}, title = {Die Vermessung der Welt -- aus dem All}, url = {http://www.uni-stuttgart.de/hkom/publikationen/themenheft/09/index.html}, year = 2013 }
  Link
  http://www.uni-stuttgart.de/hkom/publikationen/themenheft/09/index.html
13. Tourian, M. J., Lorenz, C., Devaraju, B., Riegger, J., Kunstmann, H., & Sneeuw, N. (2013). Estimating runoff using hydro-geodetic approaches; assessment and comparison.
  - BibTeX
  BibTeX
  @misc{Tourian2013a, author = {Tourian, M J and Lorenz, C and Devaraju, B and Riegger, J and Kunstmann, H and Sneeuw, N}, entrysubtype = {poster}, file = {:TOUR_2013b.pdf:PDF}, location = {AGU Fall Meeting, San Francisco, USA}, title = {Estimating runoff using hydro-geodetic approaches; assessment and comparison}, year = 2013 }
14. Van Dam, T., Tourian, M. J., Weigelt, M., Sneeuw, N., Jäggi, A., & Prange, L. (2013). Hydrological mass changes inferred from high-low satellite-to-satellite tracking data. http://meetingorganizer.copernicus.org/EGU2013/EGU2013-10138-1.pdf
  - BibTeX
  - Link
  BibTeX
  @misc{VanDam2013, author = {Van Dam, T and Tourian, M J and Weigelt, M and Sneeuw, N and Jäggi, A and Prange, L}, entrysubtype = {talk}, location = {EGU General Assembly, Vienna, Austria}, title = {Hydrological mass changes inferred from high-low satellite-to-satellite tracking data}, url = {http://meetingorganizer.copernicus.org/EGU2013/EGU2013-10138-1.pdf}, year = 2013 }
  Link
  http://meetingorganizer.copernicus.org/EGU2013/EGU2013-10138-1.pdf
15. Thor, R., Tourian, M. J., & Sneeuw, N. (2013). Least squares prediction of discharge over ungauged basins.
  - BibTeX
  BibTeX
  @misc{Thor2013, author = {Thor, R and Tourian, M J and Sneeuw, N}, entrysubtype = {talk}, file = {:THOR_2013a.pdf:PDF}, location = {IAG Scientific Assembly, Potsdam, Germany}, title = {Least squares prediction of discharge over ungauged basins}, year = 2013 }
16. Elmi, O., Tourian, M. J., & Sneeuw, N. (2013). Monitoring of the hydrological cycle using remote sensing approaches.
  - BibTeX
  BibTeX
  @misc{Elmi2013, author = {Elmi, O and Tourian, M J and Sneeuw, N}, entrysubtype = {poster}, location = {ESA Advanced Training Course in Land Remote Sensing, Athens, Greece}, title = {Monitoring of the hydrological cycle using remote sensing approaches}, year = 2013 }
17. Reubelt, T., Baur, O., Weigelt, M., Mayer-Gürr, T., Sneeuw, N., Van Dam, T., & Tourian, M. J. (2013). On the capability of non-dedicated GPS-tracked satellite constellations for estimating mass variations: case study Swarm.
  - BibTeX
  BibTeX
  @misc{Reubelt2013, author = {Reubelt, T and Baur, O and Weigelt, M and Mayer-Gürr, T and Sneeuw, N and Van Dam, T and Tourian, M J}, entrysubtype = {talk}, file = {:REUB_2013b.pdf:PDF}, location = {IAG Scientific Assembly, Potsdam, Germany}, title = {On the capability of non-dedicated GPS-tracked satellite constellations for estimating mass variations: case study Swarm}, year = 2013 }
18. Sneeuw, N., Thor, R., & Tourian, M. J. (2013). River discharge from ungauged catchments by least-squares prediction.
  - BibTeX
  BibTeX
  @misc{Sneeuw2013b, author = {Sneeuw, N and Thor, R and Tourian, M J}, entrysubtype = {talk}, file = {:SNEE_2013a.pdf:PDF}, location = {Geodätische Woche, Essen, Germany}, title = {River discharge from ungauged catchments by least-squares prediction}, year = 2013 }
19. Tourian, M. J., Thor, R., Riegger, J., & Sneeuw, N. (2013). Runoff estimation using satellite altimetry, GRACE and least squares prediction.
  - BibTeX
  BibTeX
  @misc{Tourian2013c, author = {Tourian, M J and Thor, R and Riegger, J and Sneeuw, N}, entrysubtype = {talk}, file = {:TOUR_2013c.pdf:PDF}, location = {Geodätische Woche, Essen, Germany}, title = {Runoff estimation using satellite altimetry, GRACE and least squares prediction}, year = 2013 }
20. Weigelt, M., Van Dam, T., Jäggi, A., Prange, L., Tourian, M. J., Keller, W., & Sneeuw, N. (2013). Time-variable gravity signal in Greenland revealed by high-low satellite-to-satellite tracking (7). 118(7), Article 7. https://doi.org/10.1002/jgrb.50283
  - BibTeX
  BibTeX
  @article{Weigelt2013, author = {Weigelt, M and Van Dam, T and Jäggi, A and Prange, L and Tourian, M J and Keller, W and Sneeuw, N}, doi = {10.1002/jgrb.50283}, journaltitle = {Journal of Geophysical Research}, number = 7, pages = {3848--3859}, title = {Time-variable gravity signal in Greenland revealed by high-low satellite-to-satellite tracking}, volume = 118, year = 2013 }
2012
1. Tourian, M., Sneeuw, N., Riegger, J., & Bárdossy, A. (2012). A new method to derive river discharge from satellite altimetry (ENVISAT).
  - BibTeX
  BibTeX
  @misc{Tourian2012b, author = {Tourian, M and Sneeuw, N and Riegger, J and Bárdossy, A}, entrysubtype = {talk}, location = {International Geoscience and Remote Sensing Symposium IGARSS 2012, Munich, Germany}, title = {A new method to derive river discharge from satellite altimetry (ENVISAT)}, year = 2012 }
2. Tourian, M. J., Sneeuw, N., Riegger, J., & Bardossy, A. (2012, July). A new method to derive river discharge from satellite altimetry (ENVISAT). 2012 IEEE International Geoscience and Remote Sensing Symposium. https://doi.org/10.1109/igarss.2012.6352425
  - BibTeX
  BibTeX
  @inproceedings{Tourian2012, author = {Tourian, M. J. and Sneeuw, N. and Riegger, J. and Bardossy, A.}, booktitle = {2012 {IEEE} International Geoscience and Remote Sensing Symposium}, doi = {10.1109/igarss.2012.6352425}, month = {07}, publisher = {{IEEE}}, title = {A new method to derive river discharge from satellite altimetry ({ENVISAT})}, year = 2012 }
3. Riegger, J., Tourian, M., Devaraju, B., & Sneeuw, N. (2012). Analysis of GRACE uncertainties by hydrological and hydro-meteorological observations. 59--60, 16--27. https://doi.org/10.1016/j.jog.2012.02.001
  - BibTeX
  BibTeX
  @article{Riegger2012, author = {Riegger, J and Tourian, M and Devaraju, B and Sneeuw, N}, doi = {10.1016/j.jog.2012.02.001}, journaltitle = {Journal of Geodynamics}, pages = {16--27}, title = {Analysis of GRACE uncertainties by hydrological and hydro-meteorological observations}, volume = {59--60}, year = 2012 }
4. Sneeuw, N., & Tourian, M. (2012). Application of altimetric and gravimetric space geodetic sensors to hydrology.
  - BibTeX
  BibTeX
  @misc{Sneeuw2012b, author = {Sneeuw, N and Tourian, M}, entrysubtype = {talk}, location = {Asia Oceania Geosciences Society AOGS Joint Assembly, Singapore}, title = {Application of altimetric and gravimetric space geodetic sensors to hydrology}, year = 2012 }
5. Riegger, J., & Tourian, M. (2012). Characterization of water storage dynamics in arid areas by satellite. In C. Rausch, R and. Schüth & T. Himmelsbach (Eds.), Hydrogeology of Arid Environments (p. 283). Bundesanstalt für Geowissenschaften und Rohstoffe (BGR). http://www.bgr.bund.de/EN/Themen/Wasser/Veranstaltungen/hydroarid_2012/flyer_proceedings_pdf.pdf
  - BibTeX
  - Link
  BibTeX
  @inproceedings{Riegger2012a, author = {Riegger, J and Tourian, M}, booktitle = {Hydrogeology of Arid Environments}, editor = {{Rausch, R and. Schüth}, C and Himmelsbach, T}, entrysubtype = {non-reviewed}, location = {Proceedings Conference, Hannover, Germany}, pages = 283, publisher = {Bundesanstalt für Geowissenschaften und Rohstoffe (BGR)}, title = {Characterization of water storage dynamics in arid areas by satellite}, url = {http://www.bgr.bund.de/EN/Themen/Wasser/Veranstaltungen/hydroarid_2012/flyer_proceedings_pdf.pdf}, year = 2012 }
  Link
  http://www.bgr.bund.de/EN/Themen/Wasser/Veranstaltungen/hydroarid_2012/flyer_proceedings_pdf.pdf
6. Riegger, J., & Tourian, M. (2012). Characterization of water storage dynamics in arid areas by satellite gravimetry.
  - BibTeX
  BibTeX
  @misc{Riegger2012b, author = {Riegger, J and Tourian, M}, entrysubtype = {talk}, location = {Hydrogeology of Arid Environments, Hannover, Germany}, title = {Characterization of water storage dynamics in arid areas by satellite gravimetry}, year = 2012 }
7. Tourian, M. J. (2012). Controls on satellite altimetry over inland water surfaces for hydrological purposes. https://doi.org/10.18419/opus-3879
  - BibTeX
  - Link
  BibTeX
  @mastersthesis{Tourian2012, author = {Tourian, M. J.}, doi = {10.18419/opus-3879}, school = {University of Stuttgart}, title = {Controls on satellite altimetry over inland water surfaces for hydrological purposes}, url = {http://dx.doi.org/10.18419/opus-3879}, year = 2012 }
  Link
  http://dx.doi.org/10.18419/opus-3879
8. Devaraju, B., Lorenz, C., Tourian, M., & Sneeuw, N. (2012). Estimating hydrological mass changes from GRACE level-2 data: filtering and data assimilation.
  - BibTeX
  BibTeX
  @misc{Devaraju2012a, author = {Devaraju, B and Lorenz, C and Tourian, M and Sneeuw, N}, entrysubtype = {talk}, file = {:DEVA_2012b.pdf:PDF}, location = {DFG SPP-1257 Workshop on GRACE hydrology, Bonn, Germany}, title = {Estimating hydrological mass changes from GRACE level-2 data: filtering and data assimilation}, year = 2012 }
9. Devaraju, B., Lorenz, C., Tourian, M., Riegger, J., & Sneeuw, N. (2012). Estimating runoff from GRACE, hydrological data and hydro-meteorological models - a Kalman filtering approach.
  - BibTeX
  BibTeX
  @misc{Devaraju2012, author = {Devaraju, B and Lorenz, C and Tourian, M and Riegger, J and Sneeuw, N}, entrysubtype = {talk}, location = {International Symposium on Gravity - Geoid and Height Systems GGHS 2012, Venice, Italy}, title = {Estimating runoff from GRACE, hydrological data and hydro-meteorological models - a Kalman filtering approach}, year = 2012 }
10. Devaraju, B., Lorenz, C., Tourian, M., & Sneeuw, N. (2012). Estimating runoff from the assimilation of GRACE data and hydro-meteorological models.
  - BibTeX
  BibTeX
  @misc{Devaraju2012b, author = {Devaraju, B and Lorenz, C and Tourian, M and Sneeuw, N}, entrysubtype = {talk}, location = {International Symposium on Gravity, Geoid and Height Systems GGHS 2012, Venice, Italy}, title = {Estimating runoff from the assimilation of GRACE data and hydro-meteorological models}, year = 2012 }
11. Devaraju, B., Lorenz, C., Tourian, M., & Sneeuw, N. (2012). On the cyclo-stationarity of the time-variable Kaula rule.
  - BibTeX
  BibTeX
  @misc{Devaraju2012c, author = {Devaraju, B and Lorenz, C and Tourian, M and Sneeuw, N}, entrysubtype = {talk}, file = {:DEVA_2012d.pdf:PDF}, location = {EGU General Assembly, Vienna, Austria}, title = {On the cyclo-stationarity of the time-variable Kaula rule}, year = 2012 }
12. Tourian, M., Riegger, J., & Sneeuw, N. (2012). Satellite altimetry for river discharge.
  - BibTeX
  BibTeX
  @misc{Tourian2012, author = {Tourian, M and Riegger, J and Sneeuw, N}, entrysubtype = {talk}, location = {DFG SPP-1257 Workshop on GRACE hydrology, Bonn, Germany}, title = {Satellite altimetry for river discharge}, year = 2012 }
2011
1. Tourian, M., Riegger, J., Sneeuw, N., & Devaraju, B. (2011). Analysis of GRACE uncertainties by hydrological and hydrometeorological observations.
  - BibTeX
  BibTeX
  @misc{Tourian2011b, author = {Tourian, M and Riegger, J and Sneeuw, N and Devaraju, B}, entrysubtype = {talk}, location = {QuGOMS -- The 1\textsuperscript{st} International Workshop on the Quality of Geodetic Observation and Monitoring Systems, Munich, Germany}, title = {Analysis of GRACE uncertainties by hydrological and hydrometeorological observations}, year = 2011 }
2. Tourian, M., Riegger, J., & Sneeuw, N. (2011). Long-range spatial correlations in GRACE products: a matter of S2-tidal aliasing? http://meetingorganizer.copernicus.org/EGU2011/EGU2011-5797.pdf
  - BibTeX
  - Link
  BibTeX
  @misc{Tourian2011, author = {Tourian, M and Riegger, J and Sneeuw, N}, entrysubtype = {talk}, location = {EGU General Assembly, Vienna, Austria}, title = {Long-range spatial correlations in GRACE products: a matter of S2-tidal aliasing?}, url = {http://meetingorganizer.copernicus.org/EGU2011/EGU2011-5797.pdf}, year = 2011 }
  Link
  http://meetingorganizer.copernicus.org/EGU2011/EGU2011-5797.pdf
3. Tourian, M., Riegger, J., Sneeuw, N., & Devaraju, B. (2011). Outlier identification and correction for GRACE aggregated data. 55, 627--640. https://doi.org/10.1007/s11200-009-9007-z
  - BibTeX
  BibTeX
  @article{Tourian2011a, author = {Tourian, M and Riegger, J and Sneeuw, N and Devaraju, B}, doi = {10.1007/s11200-009-9007-z}, journaltitle = {Studia Geophysica et Geodaetica}, pages = {627--640}, title = {Outlier identification and correction for GRACE aggregated data}, volume = 55, year = 2011 }
2010
1. Devaraju, B., Sneeuw, N., Tourian, M. J., Riegger, J., Fersch, B., & Kunstmann, H. (2010). Assimilating GRACE, hydrology and hydro-meteorology datasets for estimating monthly water storage changes over continents.
  - BibTeX
  BibTeX
  @misc{Devaraju2010, author = {Devaraju, B and Sneeuw, N and Tourian, M J and Riegger, J and Fersch, B and Kunstmann, H}, entrysubtype = {talk}, file = {:DEVA_2010a.pdf:PDF}, location = {EGU General Assembly 2010, Vienna, Austria}, title = {Assimilating GRACE, hydrology and hydro-meteorology datasets for estimating monthly water storage changes over continents}, year = 2010 }
2. Tourian, M. J., Devaraju, B., Sneeuw, N., & Riegger, J. (2010). Canonical Correlation Analysis (CCA) of GRACE, hydrological and hydro-meteorological signals.
  - BibTeX
  BibTeX
  @misc{Tourian2010, author = {Tourian, M J and Devaraju, B and Sneeuw, N and Riegger, J}, entrysubtype = {talk}, file = {:TOUR_2010a.pdf:PDF}, location = {Geodätische Woche, Köln, Germany}, title = {Canonical Correlation Analysis (CCA) of GRACE, hydrological and hydro-meteorological signals}, year = 2010 }
3. Tourian, M. J., Sneeuw, N., Rigger, J., & Bardossy, A. (2010). Extracting River Discharge from Satellite Altimetry.
  - BibTeX
  BibTeX
  @misc{Tourian2010d, author = {Tourian, M J and Sneeuw, N and Rigger, J and Bardossy, A}, entrysubtype = {poster}, file = {:TOUR_2010e.pdf:PDF}, location = {Altimetry for oceans and hydrology 2010, Lisbon, Portugal}, title = {Extracting River Discharge from Satellite Altimetry}, year = 2010 }
4. Tourian, M. J., Sneeuw, N., & Riegger, J. (2010). Feasibility study of extracting runoff data from satellite altimetry over continental surface waters.
  - BibTeX
  BibTeX
  @misc{Tourian2010c, author = {Tourian, M J and Sneeuw, N and Riegger, J}, entrysubtype = {poster}, file = {:TOUR_2010d.pdf:PDF}, location = {EGU General Assembly, Vienna, Austria}, title = {Feasibility study of extracting runoff data from satellite altimetry over continental surface waters}, year = 2010 }
5. Tourian, M. J., Riegger, J., Devaraju, B., & Sneeuw, N. (2010). Investigation on Inter Cell Correlations of GRACE monthly solutions over the globe.
  - BibTeX
  BibTeX
  @misc{Tourian2010b, author = {Tourian, M J and Riegger, J and Devaraju, B and Sneeuw, N}, entrysubtype = {talk}, file = {:TOUR_2010c.pdf:PDF}, location = {EGU General Assembly, Vienna, Austria}, title = {Investigation on Inter Cell Correlations of GRACE monthly solutions over the globe}, year = 2010 }
6. Tourian, M. J., Riegger, J., Devaraju, B., & Sneeuw, N. (2010). Outlier detection and correction for GRACE data to improve the continental water balance.
  - BibTeX
  BibTeX
  @misc{Tourian2010a, author = {Tourian, M J and Riegger, J and Devaraju, B and Sneeuw, N}, entrysubtype = {poster}, file = {:TOUR_2010b.pdf:PDF}, location = {EGU General Assembly, Vienna, Austria}, title = {Outlier detection and correction for GRACE data to improve the continental water balance}, year = 2010 }
2009
1. Ardala, A. A., & Tourian, M. J. (2009). A new tidal model for the Persian Gulf and Oman Sea based on satellite altimetry and coastal tidal gauge observations. Journal of the Earth and Space Physics, 36(3), Article 3. http://www.sid.ir/FileServer/JF/67513890302
  - BibTeX
  - Link
  BibTeX
  @article{Ardala2009, author = {Ardala, A. A. and Tourian, M. J.}, journal = {Journal of the Earth and Space Physics}, number = 3, pages = {15 -- 25}, title = {A new tidal model for the Persian Gulf and Oman Sea based on satellite altimetry and coastal tidal gauge observations}, url = {http://www.sid.ir/FileServer/JF/67513890302 }, volume = 36, year = 2009 }
  Link
  http://www.sid.ir/FileServer/JF/67513890302
2. Tourian, M. J., Sneeuw, N., & Bárdossy, A. (2009). Controls on satellite altimetry over non-ocean surfaces for hydrological purposes. http://meetingorganizer.copernicus.org/EGU2009/EGU2009-2713.pdf
  - BibTeX
  - Link
  BibTeX
  @misc{Tourian2009, author = {Tourian, M J and Sneeuw, N and Bárdossy, A}, entrysubtype = {talk}, location = {EGU General Assembly, Vienna, Austria}, title = {Controls on satellite altimetry over non-ocean surfaces for hydrological purposes}, url = {http://meetingorganizer.copernicus.org/EGU2009/EGU2009-2713.pdf}, year = 2009 }
  Link
  http://meetingorganizer.copernicus.org/EGU2009/EGU2009-2713.pdf
3. Devaraju, B., Tourian, M. J., Sneeuw, N., & Riegger, J. (2009). Inter-catchment correlation estimates from filtered GRACE monthly solutions.
  - BibTeX
  BibTeX
  @misc{Devaraju2009a, author = {Devaraju, B and Tourian, M J and Sneeuw, N and Riegger, J}, entrysubtype = {talk}, file = {:DEVA_2009b.pdf:PDF}, location = {Geodätische Woche, Karlsruhe, Germany}, title = {Inter-catchment correlation estimates from filtered GRACE monthly solutions}, year = 2009 }

Team page

Mohammad Tourian

Contact

Subject

Publications

2023

BibTeX

Abstract

BibTeX

Link

Abstract

BibTeX

Link

BibTeX

Abstract

BibTeX

Link

BibTeX

Abstract

BibTeX

Link

Abstract

BibTeX

Link

2022

BibTeX

Link

BibTeX

BibTeX

Abstract

BibTeX

Link

BibTeX

Link

BibTeX

BibTeX

Link

Abstract

BibTeX

Link

BibTeX

Abstract

BibTeX

Link

BibTeX

Link

Abstract

BibTeX

Link

Abstract

BibTeX

Link

BibTeX

BibTeX

BibTeX

BibTeX

BibTeX

BibTeX

Link

BibTeX

BibTeX

BibTeX

BibTeX

2021

BibTeX

Link

BibTeX

Link

BibTeX

BibTeX

BibTeX

Link

BibTeX

BibTeX

Link

BibTeX

Link

Abstract

BibTeX

Link

BibTeX