Global Soil Moisture Estimation from L-Band Satellite Data: The Impact of Radiative Transfer Modeling in Assimilation and Retrieval Systems

De Lannoy, Gabrielle ; Reichle, Rolf ; Gruber, Alexander ; Bechtold, Michel ; Quets, Jan ; Vrugt, Jasper ; Wigneron, Jean-Pierre

关键词: SOIL MOISTURE;    BRIGHTNESS TEMPERATURE;    EARTH SURFACE;    ULTRAHIGH FREQUENCIES;    RADIATIVE TRANSFER;    REMOTE SENSING;    DATA SYSTEMS;    ASSIMILATION;    ESTIMATES;    INVERSIONS;   

RP-ID  :  GSFC-E-DAA-TN55103

学科分类：地球科学(综合)

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

The SMOS and SMAP missions have collected a wealth of global L-band Brightness temperature (Tb) observations. The retrieval of surface Soil moisture estimates, and the estimation of other geophysical Variables, such as root-zone soil moisture and temperature, via data Assimilation into land surface models largely depends on accurate Radiative transfer modeling (RTM). This presentation will focus on various configuration aspects of the RTM (i) for the inversion of SMOS Tb to surface soil moisture, and (ii) for the forward modeling as part of a SMOS Tb data assimilation System to estimate a consistent set of geophysical land surface Variables, using the GEOS-5 Catchment Land Surface Model.