Publications des scientifiques de l'IRD

de Paiva R. C. D., Buarque D. C., Collischonn W., Bonnet Marie-Paule, Frappart F., Calmant Stéphane, Mendes C. A. B. (2013). Large-scale hydrologic and hydrodynamic modeling of the Amazon River basin. Water Resources Research, 49 (3), p. 1226-1243. ISSN 0043-1397.

Titre du document
Large-scale hydrologic and hydrodynamic modeling of the Amazon River basin
Année de publication
2013
Type de document
Article référencé dans le Web of Science WOS:000317829900003
Auteurs
de Paiva R. C. D., Buarque D. C., Collischonn W., Bonnet Marie-Paule, Frappart F., Calmant Stéphane, Mendes C. A. B.
Source
Water Resources Research, 2013, 49 (3), p. 1226-1243 ISSN 0043-1397
In this paper, a hydrologic/hydrodynamic modeling of the Amazon River basin is presented using the MGB-IPH model with a validation using remotely sensed observations. Moreover, the sources of model errors by means of the validation and sensitivity tests are investigated, and the physical functioning of the Amazon basin is also explored. The MGB-IPH is a physically based model resolving all land hydrological processes and here using a full 1-D river hydrodynamic module with a simple floodplain storage model. River-floodplain geometry parameters were extracted from the SRTM digital elevation model, and the model was forced using satellite-derived rainfall from TRMM3B42. Model results agree with observed in situ daily river discharges and water levels and with three complementary satellite-based products: (1) water levels derived from ENVISAT altimetry data; (2) a global data set of monthly inundation extent; and (3) monthly terrestrial water storage (TWS) anomalies derived from the Gravity Recovery and Climate Experimental mission. However, the model is sensitive to precipitation forcing and river-floodplain parameters. Most of the errors occur in westerly regions, possibly due to the poor quality of TRMM 3B42 rainfall data set in these mountainous and/or poorly monitored areas. In addition, uncertainty in river-floodplain geometry causes errors in simulated water levels and inundation extent, suggesting the need for improvement of parameter estimation methods. Finally, analyses of Amazon hydrological processes demonstrate that surface waters govern most of the Amazon TWS changes (56%), followed by soil water (27%) and ground water (8%). Moreover, floodplains play a major role in stream flow routing, although backwater effects are also important to delay and attenuate flood waves. Citation: Paiva, R. C. D., D. C. Buarque, W. Collischonn, M.-P. Bonnet, F. Frappart, S. Calmant, and C. A. B. Mendes (2013), Large-scale hydrologic and hydrodynamic modeling of the Amazon River basin, Water Resour. Res., 49, 1226-1243, doi: 10.1002/wrcr.20067.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Hydrologie [062]
Description Géographique
AMAZONE BASSIN
Localisation
Fonds IRD [F B010060894]
Identifiant IRD
fdi:010060894
Contact