%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Leroux, D. J.
%A Kerr, Yann
%A Al Bitar, A.
%A Bindlish, R.
%A Jackson, T. J.
%A Berthelot, B.
%A Portet, G.
%T Comparison between SMOS, VUA, ASCAT, and ECMWF soil moisture products over four watersheds in US
%D 2014
%L PAR00011389
%G ENG
%J IEEE Transactions on Geoscience and Remote Sensing
%@ 0196-2892
%K Soil moisture ; Soil Moisture and Ocean Salinity (SMOS) ; validation
%K ETATS UNIS
%M ISI:000329404800003
%N 3
%P 1562-1571
%R 10.1109/tgrs.2013.2252468
%U https://www.documentation.ird.fr/hor/PAR00011389
%V 52
%W Horizon (IRD)
%X As part of the Soil Moisture and Ocean Salinity (SMOS) validation process, a comparison of the skills of three satellites [SMOS, Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) or Advanced Microwave Scanning Radiometer, and Advanced Scatterometer (ASCAT)], and one-model European Centre for Medium Range Weather Forecasting (ECMWF) soil moisture products is conducted over four watersheds located in the U. S. The four products compared in for 2010 over four soil moisture networks were used for the calibration of AMSR-E. The results indicate that SMOS retrievals are closest to the ground measurements with a low average root mean square error of 0.061 m (3) . m(-3) for the morning overpass and 0.067 m (3) . m(-3) for the afternoon overpass, which represents an improvement by a factor of 2-3 compared with the other products. The ECMWF product has good correlation coefficients (around 0.78) but has a constant bias of 0.1-0.2 m (3) . m(-3) over the four networks. The land parameter retrieval model AMSR-E product gives reasonable results in terms of correlation (around 0.73) but has a variable seasonal bias over the year. The ASCAT soil moisture index is found to be very noisy and unstable.
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