Mathematics – Logic
Scientific paper
May 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009georl..3610401d&link_type=abstract
Geophysical Research Letters, Volume 36, Issue 10, CiteID L10401
Mathematics
Logic
5
Hydrology: Soil Moisture, Atmospheric Processes: Data Assimilation, Hydrology: Land/Atmosphere Interactions (1218, 1631, 3322), Atmospheric Processes: Remote Sensing
Scientific paper
This paper presents the future European Centre for Medium-Range Weather Forecasts soil moisture analysis system based on a point-wise Extended Kalman Filter (EKF). The performance of the system is evaluated against the current operational Optimal Interpolation (OI) system. Both systems use proxy observations, i.e., 2 m air temperature and relative humidity. The spatial structure of the analysis increments obtained from both analyses are comparable. However, the EKF-based increments are generally higher for the top soil layers then for the bottom layer. This gradient better reflects the underlying hydrological processes in that the strongest interaction between soil moisture and bare soil evaporation and transpiration through vegetation should occur in top layers where most of the roots are located. The impact on the forecast skill, e.g., air temperature at 2 m and 500 hPa height, is neutral. The new EKF surface analysis system offers a range of further development options for the exploitation of satellite observations for the initialization of the land surface in Numerical Weather Prediction.
Andersson Erika
Balsamo Gianpaolo
Bougeault Philippe
de Rosnay P.
Drusch Matthias
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