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
| 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
Viewed
Total article views: 4,882 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Aug 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,476 | 1,308 | 98 | 4,882 | 109 | 99 |
- HTML: 3,476
- PDF: 1,308
- XML: 98
- Total: 4,882
- BibTeX: 109
- EndNote: 99
Total article views: 3,282 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jan 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,440 | 755 | 87 | 3,282 | 98 | 87 |
- HTML: 2,440
- PDF: 755
- XML: 87
- Total: 3,282
- BibTeX: 98
- EndNote: 87
Total article views: 1,600 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Aug 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,036 | 553 | 11 | 1,600 | 11 | 12 |
- HTML: 1,036
- PDF: 553
- XML: 11
- Total: 1,600
- BibTeX: 11
- EndNote: 12
Viewed (geographical distribution)
Total article views: 4,882 (including HTML, PDF, and XML)
Thereof 4,247 with geography defined
and 635 with unknown origin.
Total article views: 3,282 (including HTML, PDF, and XML)
Thereof 2,978 with geography defined
and 304 with unknown origin.
Total article views: 1,600 (including HTML, PDF, and XML)
Thereof 1,269 with geography defined
and 331 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
26 citations as recorded by crossref.
- Retrieving time series of river water extent from global inland water data sets O. Elmi & M. Tourian 10.1016/j.jhydrol.2022.128880
- Channel Water Storage Anomaly: A New Remotely Sensed Quantity for Global River Analysis S. Coss et al. 10.1029/2022GL100185
- On the capacity of ICESat-2 laser altimetry for river level retrieval: An investigation in the Ohio River basin H. Li et al. 10.1016/j.jhydrol.2023.130277
- HydroSat: geometric quantities of the global water cycle from geodetic satellites M. Tourian et al. 10.5194/essd-14-2463-2022
- Using river hypsometry to improve remote sensing of river discharge M. Durand et al. 10.1016/j.rse.2024.114455
- Towards the continuous monitoring of the extreme events through satellite radar altimetry observations R. Belloni et al. 10.1016/j.jhydrol.2021.126870
- Extending global river gauge records using satellite observations R. Riggs et al. 10.1088/1748-9326/acd407
- 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
- Hydrological model calibration in data-deficient basins using satellite altimetry and a hydrodynamic model H. Lyu et al. 10.1016/j.jhydrol.2024.132022
- Quantifying the impacts of groundwater abstraction on Ganges river water infiltration into shallow aquifers under the rapidly developing city of Patna, India C. Lu et al. 10.1016/j.ejrh.2022.101133
- Water Resources in Africa under Global Change: Monitoring Surface Waters from Space F. Papa et al. 10.1007/s10712-022-09700-9
- 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
- AltiMaP: altimetry mapping procedure for hydrography data M. Revel et al. 10.5194/essd-16-75-2024
- Tracking River's Pulse From Space: A Global Analysis of River Stage Fluctuations Y. Zhao et al. 10.1029/2023GL106399
- Water level status of Indian reservoirs: A synoptic view from altimeter observations P. Thakur et al. 10.1016/j.asr.2020.06.015
- Challenges and Evolution of Water Level Monitoring towards a Comprehensive, World-Scale Coverage with Remote Sensing M. Machefer et al. 10.3390/rs14153513
- Inversion of river discharge from remotely sensed river widths: A critical assessment at three-thousand global river gauges P. Lin et al. 10.1016/j.rse.2023.113489
- 18O and 2H in streamflow across Canada J. Gibson et al. 10.1016/j.ejrh.2020.100754
- Bridging the divide between inland water quantity and quality with satellite remote sensing: An interdisciplinary review E. Ellis et al. 10.1002/wat2.1725
- 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
- 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
- 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
- Evaluation of Sentinel-3A altimetry over Songhua river Basin J. Chen et al. 10.1016/j.jhydrol.2023.129197
- Lake Topography and Active Storage From Satellite Observations of Flood Frequency A. Fassoni‐Andrade et al. 10.1029/2019WR026362
25 citations as recorded by crossref.
- Retrieving time series of river water extent from global inland water data sets O. Elmi & M. Tourian 10.1016/j.jhydrol.2022.128880
- Channel Water Storage Anomaly: A New Remotely Sensed Quantity for Global River Analysis S. Coss et al. 10.1029/2022GL100185
- On the capacity of ICESat-2 laser altimetry for river level retrieval: An investigation in the Ohio River basin H. Li et al. 10.1016/j.jhydrol.2023.130277
- HydroSat: geometric quantities of the global water cycle from geodetic satellites M. Tourian et al. 10.5194/essd-14-2463-2022
- Using river hypsometry to improve remote sensing of river discharge M. Durand et al. 10.1016/j.rse.2024.114455
- Towards the continuous monitoring of the extreme events through satellite radar altimetry observations R. Belloni et al. 10.1016/j.jhydrol.2021.126870
- Extending global river gauge records using satellite observations R. Riggs et al. 10.1088/1748-9326/acd407
- 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
- Hydrological model calibration in data-deficient basins using satellite altimetry and a hydrodynamic model H. Lyu et al. 10.1016/j.jhydrol.2024.132022
- Quantifying the impacts of groundwater abstraction on Ganges river water infiltration into shallow aquifers under the rapidly developing city of Patna, India C. Lu et al. 10.1016/j.ejrh.2022.101133
- Water Resources in Africa under Global Change: Monitoring Surface Waters from Space F. Papa et al. 10.1007/s10712-022-09700-9
- 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
- AltiMaP: altimetry mapping procedure for hydrography data M. Revel et al. 10.5194/essd-16-75-2024
- Tracking River's Pulse From Space: A Global Analysis of River Stage Fluctuations Y. Zhao et al. 10.1029/2023GL106399
- Water level status of Indian reservoirs: A synoptic view from altimeter observations P. Thakur et al. 10.1016/j.asr.2020.06.015
- Challenges and Evolution of Water Level Monitoring towards a Comprehensive, World-Scale Coverage with Remote Sensing M. Machefer et al. 10.3390/rs14153513
- Inversion of river discharge from remotely sensed river widths: A critical assessment at three-thousand global river gauges P. Lin et al. 10.1016/j.rse.2023.113489
- 18O and 2H in streamflow across Canada J. Gibson et al. 10.1016/j.ejrh.2020.100754
- Bridging the divide between inland water quantity and quality with satellite remote sensing: An interdisciplinary review E. Ellis et al. 10.1002/wat2.1725
- 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
- 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
- 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
- Evaluation of Sentinel-3A altimetry over Songhua river Basin J. Chen et al. 10.1016/j.jhydrol.2023.129197
1 citations as recorded by crossref.
Latest update: 14 Dec 2024
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...
Altmetrics
Final-revised paper
Preprint