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An observation-based approach for global runoff estimation: exploiting satellite soil moisture and Grace

, , , , , , , and . (2020)(EGU 2020, Vienna, 4-8 May).

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An observation-based approach for global runoff estimation: exploiting satellite soil moisture and Grace, , , , , , , and . (2020)(EGU 2020, Vienna, 4-8 May).Satellite observations for runoff and river discharge estimation: STREAMRIDE approach&\#160$\mathsemicolon$, , , , , , , , , and . (March 2022)Shallow Radar (SHARAD) investigations over Sinus Meridiani., , , , and . IGARSS, page 3206-3209. IEEE, (2012)A Phase-Gradient-Autofocus Algorithm for the Recovery of MARSIS Subsurface Data., , and . IEEE Geosci. Remote. Sens. Lett., 13 (6): 806-810 (2016)Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation, , , , , , , , and . Geoscientific model development, 15 (18): 6935-6956 (2022)Reconstructing river water level time series from multi-mission satellite altimetry – reach based methods, , , , , and . (2022)Satellite-based river discharge estimation: the STREAMRIDE project, , , , , , , , , and 1 other author(s). (2022)Satellite observations for runoff and river discharge estimation: STREAMRIDE approach, , , , , , , , , and . (2022)STREAMRIDE: runoff and river discharge estimation by using satellite observations, , , , , , , , , and . (2022)