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.
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
                                        
                                    Data sets
GRRATS river virtual station data Coss, Stephen; Durand, Michael; Lettenmaier, Dennis; Yi, Yuchan; Jia, Yuanyuan; Guo, Qi, Tuozzolo, Stephen; Shun, C.K.; Allen, George H.; Calmant, Stephane; Pavelsky, Tamlin https://doi.org/10.5067/PSGRA-SA2V1
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...
                    
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