Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-137-2020
© Author(s) 2020. 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-12-137-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 Jan 2020
Data description paper |
| 22 Jan 2020
Global River Radar Altimetry Time Series (GRRATS): new river elevation earth science data records for the hydrologic community
Stephen Coss
CORRESPONDING AUTHOR
School of Earth Sciences, The Ohio State University, Columbus,
Ohio, USA
Byrd Polar and Climate Research Center, The Ohio State University,
Columbus, Ohio, USA
Michael Durand
School of Earth Sciences, The Ohio State University, Columbus,
Ohio, USA
Byrd Polar and Climate Research Center, The Ohio State University,
Columbus, Ohio, USA
Yuchan Yi
School of Earth Sciences, The Ohio State University, Columbus,
Ohio, USA
Yuanyuan Jia
School of Earth Sciences, The Ohio State University, Columbus,
Ohio, USA
Qi Guo
School of Earth Sciences, The Ohio State University, Columbus,
Ohio, USA
Stephen Tuozzolo
School of Earth Sciences, The Ohio State University, Columbus,
Ohio, USA
C. K. Shum
School of Earth Sciences, The Ohio State University, Columbus,
Ohio, USA
Institute of Geodesy and Geophysics, Chinese Academy of Sciences,
Wuhan 430077, China
George H. Allen
Department of Geological Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
Department of Geography, Texas A&M University, College Station, TX, USA
Stéphane Calmant
IRD/LEGOS, 16 Avenue Edouard Belin, 31400 Toulouse, France
Tamlin Pavelsky
Department of Geological Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Cited
11 citations as recorded by crossref.
- Towards the continuous monitoring of the extreme events through satellite radar altimetry observations R. Belloni et al. 10.1016/j.jhydrol.2021.126870
- 18O and 2H in streamflow across Canada J. Gibson et al. 10.1016/j.ejrh.2020.100754
- Testing the use of single- and multi-mission satellite altimetry for the calibration of hydraulic models A. Domeneghetti et al. 10.1016/j.advwatres.2021.103887
- Amazon Hydrology From Space: Scientific Advances and Future Challenges A. Fassoni‐Andrade et al. 10.1029/2020RG000728
- Water level status of Indian reservoirs: A synoptic view from altimeter observations P. Thakur et al. 10.1016/j.asr.2020.06.015
- Lake Topography and Active Storage From Satellite Observations of Flood Frequency A. Fassoni‐Andrade et al. 10.1029/2019WR026362
- Quality analysis of water level series obtained by altimetric radar satellite along the São Francisco River L. Martins et al. 10.1590/2318-0331.262120210069
- Improved Lake Level Estimation From Radar Altimeter Using an Automatic Multiscale-Based Peak Detection Retracker J. Chen et al. 10.1109/JSTARS.2020.3035686
- Success Stories of Satellite Radar Altimeter Applications M. Srinivasan & V. Tsontos 10.1175/BAMS-D-21-0065.1
- Re-initiating depth-discharge monitoring in small-sized ungauged watersheds by combining remote sensing and hydrological modelling: a case study in Madagascar J. Andriambeloson et al. 10.1080/02626667.2020.1833013
- Using Airborne Laser Scanning to Characterize Land-Use Systems in a Tropical Landscape Based on Vegetation Structural Metrics N. Camarretta et al. 10.3390/rs13234794
11 citations as recorded by crossref.
- Towards the continuous monitoring of the extreme events through satellite radar altimetry observations R. Belloni et al. 10.1016/j.jhydrol.2021.126870
- 18O and 2H in streamflow across Canada J. Gibson et al. 10.1016/j.ejrh.2020.100754
- Testing the use of single- and multi-mission satellite altimetry for the calibration of hydraulic models A. Domeneghetti et al. 10.1016/j.advwatres.2021.103887
- Amazon Hydrology From Space: Scientific Advances and Future Challenges A. Fassoni‐Andrade et al. 10.1029/2020RG000728
- Water level status of Indian reservoirs: A synoptic view from altimeter observations P. Thakur et al. 10.1016/j.asr.2020.06.015
- Lake Topography and Active Storage From Satellite Observations of Flood Frequency A. Fassoni‐Andrade et al. 10.1029/2019WR026362
- Quality analysis of water level series obtained by altimetric radar satellite along the São Francisco River L. Martins et al. 10.1590/2318-0331.262120210069
- Improved Lake Level Estimation From Radar Altimeter Using an Automatic Multiscale-Based Peak Detection Retracker J. Chen et al. 10.1109/JSTARS.2020.3035686
- Success Stories of Satellite Radar Altimeter Applications M. Srinivasan & V. Tsontos 10.1175/BAMS-D-21-0065.1
- Re-initiating depth-discharge monitoring in small-sized ungauged watersheds by combining remote sensing and hydrological modelling: a case study in Madagascar J. Andriambeloson et al. 10.1080/02626667.2020.1833013
- Using Airborne Laser Scanning to Characterize Land-Use Systems in a Tropical Landscape Based on Vegetation Structural Metrics N. Camarretta et al. 10.3390/rs13234794
Latest update: 31 May 2023
Short summary
We present a new radar-altimeter-satellite-measured river surface height dataset. Our novel approach is broadly applicable rather than location specific. We were able to measure rivers that account for > 34 % of global drainage area with an accuracy comparable to much of the established literature. 389 of our 932 measurement locations include river gage validation. We have focused our efforts on creating a consistent, well-documented data product to encourage use by the broader science community.
We present a new radar-altimeter-satellite-measured river surface height dataset. Our novel...
