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* Corresponding author 1 CESBIO - Centre d-études spatiales de la biosphère 2 EPHYSE - INRA 3 UV - Facultat de Fisica València 4 CIDE - Center for Desertification Research 5 ESTEC - European Space Research and Technology Centre

Abstract : The main goal of the SMOS Soil Moisture and Ocean Salinity mission is to deliver global fields of surface soil moisture and sea surface salinity using L-band 1.4 GHz radiometry. Within the context of the Science preparation for SMOS, the Valencia Anchor Station VAS experimental site, in Spain, was chosen to be one of the main test sites in Europe for Calibration-Validation Cal-Val activities. In this framework, the paper presents an approach consisting in accurately simulating a whole SMOS pixel by representing the spatial and temporal heterogeneity of the soil moisture fields over the wide VAS surface 50×50 km². Ground and meteorological measurements over the area are used as the input of a Soil-Vegetation-Atmosphere-Transfer SVAT model, SURFEX Externalized Surface - module ISBA Interactions between Soil-Biosphere-Atmosphere to simulate the spatial and temporal distribution of surface soil moisture. The calibration as well as the validation of the ISBA model are performed using in situ soil moisture measurements. It is shown that a good consistency is reached when point comparisons between simulated and in situ soil moisture measurements are made. Actually, an important challenge in remote sensing approaches concerns product validation. In order to obtain an representative soil moisture mapping over the Valencia Anchor Station 50×50 km² area, a spatialization method is applied. For verification, a comparison between the simulated spatialized soil moisture and remote sensing data from the Advanced Microwave Scanning Radiometer on Earth observing System AMSR-E and from the European Remote Sensing Satellites ERS-SCAT is performed. Despite the fact that AMSR-E surface soil moisture product is not reproducing accurately the absolute values, it provides trustworthy information on surface soil moisture temporal variability. However, during the vegetation growing season the signal is perturbed. By using the polarization ratio a better agreement is obtained. ERS-SCAT soil moisture products are also used to be compared with the simulated spatialized soil moisture. However, the lack of soil moisture data from the ERS-SCAT sensor over the area 45 observations for one year prevented capturing the soil moisture variability.

keyword : SMOS Remote sensing Modelling soil moisture

Autor: Silvia Juglea - Yann H. Kerr - Arnaud Mialon - Jean-Pierre Wigneron - Ernesto Lopez-Baeza - Aurelio Cano - Ahmad Albitar - Cristi



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