Large-scale hydrological model river storage and discharge correction using a satellite altimetry-based discharge product

• DOI: 10.5194/hess-22-2135-2018
• Publication Date: 2018-04-06T11:57:26Z
• Authors: Charlotte Marie E...; Adrien Paris; Sylvain Biancamaria; Aaron Boone; Stéphane Calmant; Pierre-André Gara...; Joecila Santos da...
• Keywords: Water storage; Water cycle; Discharge

Abstract. Land surface models (LSMs) are widely used to study the continental part of water cycle. However, even though their accuracy is increasing, inherent model uncertainties can not be avoided. In meantime, remotely sensed observations cycle variables such as soil moisture, lakes and river elevations more frequent accurate. Therefore, those two different types information combined, using data assimilation techniques reduce a model's in its state or/and input parameters. The objective this present platform that assimilates into large-scale ISBA-CTRIP LSM punctual discharge product, derived from ENVISAT nadir altimeter elevation measurements rating curves, over whole Amazon basin. To deal with scale difference between observation, also presents an initial development for localization treatment allows one limit impact areas close observation same hydrological network. This based on ensemble Kalman filter correct either CTRIP storage or discharge. Root mean square error (RMSE) compared gauge discharges globally reduced until 21 % at Óbidos, near outlet, RMSE by up 52 ENVISAT-based Finally, it shown improves results along main tributaries.