Assimilation of Spatial Monitoring Data for the analysis of the hydrological regime of the Amazon Basin and the forecast of short and medium term
Description: This research project, together with the IRD of France, explores methods and data that can be used to improve flow and flood forecasts in large-scale basins with large data deficits, such as the Amazon basin. Among the methods being explored are the Kalman Filter by Ensemble (Kalman Filter). Among the types of data being used are satellite altimetry data, which allow estimating the water level in rivers, lakes and reservoirs from space.
Status: In progress.
Nature: Research.
Coordinator:
Walter Collischonn
Members:
Rodrigo Cauduro Dias de Paiva
Diogo Costa Buarque
Fernando Fan
Marie-Paulo Bonnet
Stephane Calmant
Adrien Paris
Karena Quiroz Jimenez
Results:
PAIVA, R. C. D. ; Collischonn, W. ; BONNET, M.-P. ; de Gonçalves, L. G. G. ; CALMANT, S. ; GETIRANA, A. ; SANTOS DA SILVA, J. . Assimilating in situ and radar altimetry data into a large-scale hydrologic-hydrodynamic model for streamflow forecast in the Amazon. Hydrology and Earth System Sciences Discussions (Online), v. 10, p. 2879-2925, 2013.