This study focuses on testing two different soil moisture analysis systems based on screen-level parameters (2-m temperature T 2m , 2-m relative humidity RH 2m ) and 1.4-GHz passive microwave brightness temperatures T B . First, a simplified extended Kalman filter (EKF) system is compared with an optimal interpolation (OI) method assimilating screen-level parameters in a single-column version of the European Centre for Medium-Range Weather Forecasts (ECMWF) numerical weather prediction model. In the second part of this study, the EKF is applied to investigate whether the synergy of T 2m , RH 2m , and additionally T B in an assimilation framework improves the simulated soil moisture and atmospheric parameters.
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Seuffert et al. (2004) studied this question.
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