Soil moisture initialization for climate prediction: Characterization of model and observation errors

Wenge Ni-Meister, Jeffrey Walker, Paul R. Houser

Research output: Contribution to journalConference articleOther


The model error in the catchment-based land surface model (CLSM) used by NASA Seasonal-to-Interannual Prediction Project (NSIPP) and the observation error of the near surface soil moisture from Scanning Multifrequency Microwave Radiometer (SMMR) data were characterized by comparing them with measurements of soil moisture collected in Russia, Mongolia, and China. It was found that in wet climate areas, such as the east coast of China and western Russia, the catchment model has a wet bias. The satellite observation error was large in wet and densely-vegetated regions and small in dry region. This indicated that if the correct model error and observation error are used, data assimilation will give better soil moisture in China and Russia.

Original languageEnglish
Pages (from-to)3379-3381
Number of pages3
JournalBulletin of the American Meteorological Society
Publication statusPublished - 1 Jun 2004
EventCombined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, United States of America
Duration: 11 Jan 200415 Jan 2004

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