Salameh E., Frappart F., Papa Fabrice, Guntner A., Venugopal V., Getirana A., Prigent C., Aires F., Labat D., Laignel B. (2017). Fifteen Years (1993-2007) of surface freshwater storage variability in the Ganges-Brahmaputra River Basin using multi-satellite observations. Water, 9 (4), 245 [19 p.]. ISSN 2073-4441.
Titre du document
Fifteen Years (1993-2007) of surface freshwater storage variability in the Ganges-Brahmaputra River Basin using multi-satellite observations
Salameh E., Frappart F., Papa Fabrice, Guntner A., Venugopal V., Getirana A., Prigent C., Aires F., Labat D., Laignel B.
Source
Water, 2017,
9 (4), 245 [19 p.] ISSN 2073-4441
Surface water storage is a key component of the terrestrial hydrological and biogeochemical cycles that also plays a major role in water resources management. In this study, surface water storage (SWS) variations are estimated at monthly time-scale over 15 years (1993-2007) using a hypsographic approach based on the combination of topographic information from Advance Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Hydrological Modeling and Analysis Platform (HyMAP)-based Global Digital Elevation Models (GDEM) and the Global Inundation Extent Multi-Satellite (GIEMS) product in the Ganges-Brahmaputra basin. The monthly variations of the surface water storage are in good accordance with precipitation from Global Precipitation Climatology Project (GPCP), river discharges at the outlet of the Ganges and the Brahmaputra, and terrestrial water storage (TWS) from the Gravity Recovery And Climate Experiment (GRACE), with correlations higher than 0.85. Surface water storage presents a strong seasonal signal (similar to 496 km(3) estimated by GIEMS/ASTER and similar to 378 km(3) by GIEMS/HyMAPs), representing similar to 51% and similar to 41% respectively of the total water storage signal and it exhibits a large inter-annual variability with strong negative anomalies during the drought-like conditions of 1994 or strong positive anomalies such as in 1998. This new dataset of SWS is a new, highly valuable source of information for hydrological and climate modeling studies of the Ganges-Brahmaputra river basin.
