Articles | Volume 14, issue 5
https://doi.org/10.5194/essd-14-2463-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-2463-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
25 May 2022
Data description paper |
| 25 May 2022
| 25 May 2022
HydroSat: geometric quantities of the global water cycle from geodetic satellites
Mohammad J. Tourian
CORRESPONDING AUTHOR
Institute of Geodesy (GIS), University of Stuttgart, Stuttgart, Germany
Omid Elmi
Institute of Geodesy (GIS), University of Stuttgart, Stuttgart, Germany
Yasin Shafaghi
GAF AG, Munich, Germany
Sajedeh Behnia
Institute of Geodesy (GIS), University of Stuttgart, Stuttgart, Germany
Peyman Saemian
Institute of Geodesy (GIS), University of Stuttgart, Stuttgart, Germany
Ron Schlesinger
Institute of Geodesy (GIS), University of Stuttgart, Stuttgart, Germany
Nico Sneeuw
Institute of Geodesy (GIS), University of Stuttgart, Stuttgart, Germany
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Cited
16 citations as recorded by crossref.
- A copula-supported Bayesian framework for spatial downscaling of GRACE-derived terrestrial water storage flux M. Tourian et al. 10.1016/j.rse.2023.113685
- Estimating runoff from pan-Arctic drainage basins for 2002–2019 using an improved runoff-storage relationship S. Yi et al. 10.1016/j.rse.2023.113816
- Current availability and distribution of Congo Basin’s freshwater resources M. Tourian et al. 10.1038/s43247-023-00836-z
- AltiMaP: altimetry mapping procedure for hydrography data M. Revel et al. 10.5194/essd-16-75-2024
- Water Resources in Africa: The Role of Earth Observation Data and Hydrodynamic Modeling to Derive River Discharge A. Tarpanelli et al. 10.1007/s10712-022-09744-x
- Remote Sensing-Based Extension of GRDC Discharge Time Series - A Monthly Product with Uncertainty Estimates O. Elmi et al. 10.1038/s41597-024-03078-6
- Assessing fluctuations of long-memory environmental variables based on the robustified dynamic Orlicz risk H. Yoshioka & Y. Yoshioka 10.1016/j.chaos.2023.114336
- Res-CN (Reservoir dataset in China): hydrometeorological time series and landscape attributes across 3254 Chinese reservoirs Y. Shen et al. 10.5194/essd-15-2781-2023
- A long-term monthly surface water storage dataset for the Congo basin from 1992 to 2015 B. Kitambo et al. 10.5194/essd-15-2957-2023
- Monitoring of Hydrological Resources in Surface Water Change by Satellite Altimetry W. Li et al. 10.3390/rs14194904
- ECOSTRESS Reveals the Importance of Topography and Forest Structure for Evapotranspiration from a Tropical Forest Region of the Andes A. Valdés-Uribe et al. 10.3390/rs15122985
- A dataset of lake level changes in China between 2002 and 2023 using multi-altimeter data S. Ma et al. 10.1080/20964471.2023.2295632
- Inland Water Level Monitoring from Satellite Observations: A Scoping Review of Current Advances and Future Opportunities S. Kossieris et al. 10.3390/rs16071181
- HydroSat: geometric quantities of the global water cycle from geodetic satellites M. Tourian et al. 10.5194/essd-14-2463-2022
- Statistical evaluation of Jason-2 satellite altimetry products in a trans-boundary river basin; the case study of the White Volta River basin in Ghana S. Darko et al. 10.1007/s40808-022-01655-5
- Interrelations of vegetation growth and water scarcity in Iran revealed by satellite time series R. Behling et al. 10.1038/s41598-022-24712-6
13 citations as recorded by crossref.
- A copula-supported Bayesian framework for spatial downscaling of GRACE-derived terrestrial water storage flux M. Tourian et al. 10.1016/j.rse.2023.113685
- Estimating runoff from pan-Arctic drainage basins for 2002–2019 using an improved runoff-storage relationship S. Yi et al. 10.1016/j.rse.2023.113816
- Current availability and distribution of Congo Basin’s freshwater resources M. Tourian et al. 10.1038/s43247-023-00836-z
- AltiMaP: altimetry mapping procedure for hydrography data M. Revel et al. 10.5194/essd-16-75-2024
- Water Resources in Africa: The Role of Earth Observation Data and Hydrodynamic Modeling to Derive River Discharge A. Tarpanelli et al. 10.1007/s10712-022-09744-x
- Remote Sensing-Based Extension of GRDC Discharge Time Series - A Monthly Product with Uncertainty Estimates O. Elmi et al. 10.1038/s41597-024-03078-6
- Assessing fluctuations of long-memory environmental variables based on the robustified dynamic Orlicz risk H. Yoshioka & Y. Yoshioka 10.1016/j.chaos.2023.114336
- Res-CN (Reservoir dataset in China): hydrometeorological time series and landscape attributes across 3254 Chinese reservoirs Y. Shen et al. 10.5194/essd-15-2781-2023
- A long-term monthly surface water storage dataset for the Congo basin from 1992 to 2015 B. Kitambo et al. 10.5194/essd-15-2957-2023
- Monitoring of Hydrological Resources in Surface Water Change by Satellite Altimetry W. Li et al. 10.3390/rs14194904
- ECOSTRESS Reveals the Importance of Topography and Forest Structure for Evapotranspiration from a Tropical Forest Region of the Andes A. Valdés-Uribe et al. 10.3390/rs15122985
- A dataset of lake level changes in China between 2002 and 2023 using multi-altimeter data S. Ma et al. 10.1080/20964471.2023.2295632
- Inland Water Level Monitoring from Satellite Observations: A Scoping Review of Current Advances and Future Opportunities S. Kossieris et al. 10.3390/rs16071181
3 citations as recorded by crossref.
- HydroSat: geometric quantities of the global water cycle from geodetic satellites M. Tourian et al. 10.5194/essd-14-2463-2022
- Statistical evaluation of Jason-2 satellite altimetry products in a trans-boundary river basin; the case study of the White Volta River basin in Ghana S. Darko et al. 10.1007/s40808-022-01655-5
- Interrelations of vegetation growth and water scarcity in Iran revealed by satellite time series R. Behling et al. 10.1038/s41598-022-24712-6
Latest update: 25 Apr 2024
Short summary
HydroSat as a global water cycle database provides estimates of and uncertainty in geometric quantities of the water cycle: (1) surface water extent of lakes and rivers, (2) water level time series of lakes and rivers, (3) terrestrial water storage anomaly, (4) water storage anomaly of lakes and reservoirs, and (5) river discharge estimates for large and small rivers.
HydroSat as a global water cycle database provides estimates of and uncertainty in geometric...
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