Assimilation of satellite‐derived soil moisture from ASCAT in a limited‐area NWP model

Abstract

AbstractA simplified Extended Kalman Filter is developed for the assimilation of satellite‐derived surface soil moisture from the Advanced Scatterometer (ASCAT) instrument (on board the polar‐orbiting satellite METOP) in a limited‐area NWP model where soil water vertical transfers are described by a force–restore method. An analytic formulation of the land surface scheme Jacobians is derived to simplify the coupling between land surface and atmospheric data assimilation systems. Various steps necessary before the assimilation of ASCAT products are defined: projection of satellite data on the model grid, screening based on various criteria, bias correction using a CDF matching technique, and specification of model and observation errors. Three‐dimensional variational data assimilation experiments are then performed during a four‐week period in May 2009 over western Europe. A control assimilation is also run where the soil moisture evolves freely. Forecasts from these analyses show that the assimilation of ASCAT data slightly reduces the daytime low‐level relative humidity positive bias of the control run. Forecast skill scores with respect to other variables are rather neutral. A comparison of the control run with the operational system where soil moisture is corrected from short‐range forecast errors of screen‐level observations show similar improvements but are more pronounced. These differences come from the fact that the number of screen‐level observations from the surface network over Europe is significantly larger than those provided by a polar‐orbiting satellite. These results are consistent with those obtained at ECMWF using soil moisture products derived from other satellite instruments (X‐band radiometer TMI and C‐band scatterometer ERS). Several avenues for improving this preliminary methodology are proposed. Copyright © 2010 Royal Meteorological Society