Using a multi - dimensional satellite rainfall error model to characterize 3 uncertainty in soil moisture fields simulated by an offline land surface 4 model

11 [1] In this study, we investigate the significance of using an 12 improved error modeling strategy to characterize the spatio13 temporal characteristics of uncertainty in simulation of soil 14 moisture fields from an off-line land surface model forced 15 with satellite rainfall data. We coupled a Two-Dimensional 16 Satellite Rainfall Error Model (SREM2D) with the Common 17 Land Model to propagate ensembles of simulated satellite 18 rain fields for the prediction of soil moisture at depths of 5 cm 19 (near surface) and 50 cm (root zone). Our investigations 20 revealed that multi-dimensional error modeling captures the 21 spatio-temporal characteristics of soil moisture uncertainty 22 with higher consistency than simpler bi-dimensional error 23 modeling strategies. The proposed error modeling strategy 24 appears to have the potential for delineating a more robust 25 framework for the optimal integration of satellite rainfall 26 data into models towards the study of global water and 27 energy cycle. Citation: Hossain, F., and E. N. Anagnostou 28 (2005), Using a multi-dimensional satellite rainfall error model to 29 characterize uncertainty in soil moisture fields simulated by an 30 offline land surface model, Geophys. Res. Lett., 32, LXXXXX, 31 doi:10.1029/2005GL023122.