Abstract:
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.