Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-137-2020
https://doi.org/10.5194/essd-12-137-2020
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, Michael Durand, Yuchan Yi, Yuanyuan Jia, Qi Guo, Stephen Tuozzolo, C. K. Shum, George H. Allen, Stéphane Calmant, and Tamlin Pavelsky

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Cited articles

Abrams, M.: The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER): data products for the high spatial resolution imager on NASA's Terra platform, Int. J. Remote Sens., 21, 847–859, 2000. 
Allen, G. H. and Pavelsky, T. M.: Characterizing worldwide patterns of fluvial geomorphology and hydrology with the Global River Widths from Landsat (GRWL) database, AGU fall meeting abstracts, 2015. 
Allen, G. H. and Pavelsky, T. M.: Global extent of rivers and streams, Science, 361, 585, https://doi.org/10.1126/science.aat0636, 2018. 
Alsdorf, D., Rodríguez, E., and Lettenmaier, D. P.: Measuring surface water from space, Rev. Geophys., 45, 8755–1209, https://doi.org/10.1029/2006RG000197, 2007. 
Asadzadeh Jarihani, A., Callow, J. N., Johansen, K., and Gouweleeuw, B.: Evaluation of multiple satellite altimetry data for studying inland water bodies and river floods, J. Hydrol., 505, 78–90, https://doi.org/10.1016/j.jhydrol.2013.09.010, 2013. 
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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.
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