%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Coss, S.
%A Durand, M.
%A Yi, Y. C.
%A Jia, Y. Y.
%A Guo, Q.
%A Tuozzolo, S.
%A Shum, C. K.
%A Allen, G. H.
%A Calmant, Stéphane
%A Pavelsky, T.
%T Global River Radar Altimetry Time Series (GRRATS) : new river elevation earth science data records for the hydrologic community [Data Paper]
%D 2020
%L fdi:010077842
%G ENG
%J Earth System Science Data
%@ 1866-3508
%M ISI:000509218000002
%N 1
%P 137-150
%R 10.5194/essd-12-137-2020
%U https://www.documentation.ird.fr/hor/fdi:010077842
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers20-02/010077842.pdf
%V 12
%W Horizon (IRD)
%X The capabilities of radar altimetry to measure inland water bodies are well established, and several river altimetry datasets are available. Here we produced a globally distributed dataset, the Global River Radar Altimeter Time Series (GRRATS), using Envisat and Ocean Surface Topography Mission (OSTM)/Jason-2 radar altimeter data spanning the time period 2002-2016. We developed a method that runs unsupervised, without requiring parameterization at the measurement location, dubbed virtual station (VS) level, and applied it to all altimeter crossings of ocean-draining rivers with widths >900 m (>34 % of the global drainage area). We evaluated every VS, either quantitatively for VS locations where in situ gages are available or qualitatively using a grade system. We processed nearly 1.5 million altimeter measurements from 1478 VSs. After quality control, the final product contained 810 403 measurements distributed over 932 VSs located on 39 rivers. Available in situ data allowed quantitative evaluation of 389 VSs on 12 rivers. The median standard deviation of river elevation error is 0.93 m, NashSutcliffe efficiency is 0.75, and correlation coefficient is 0.9. GRRATS is a consistent, well-documented dataset with a user-friendly data visualization portal, freely available for use by the global scientific community.
%$ 062 ; 126