Variational Assimilation of Global Microwave Rainfall Retrievals: Physical and Dynamical Impact on GEOS Analyses | Zendy

Xin Lin | Zendy; Sara Q. Zhang | Zendy; Arthur Y. Hou | Zendy

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Variational Assimilation of Global Microwave Rainfall Retrievals: Physical and Dynamical Impact on GEOS Analyses

Author(s) -

Xin Lin,

Sara Q. Zhang,

Arthur Y. Hou

Publication year - 2007

Publication title -

monthly weather review

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.862

H-Index - 179

eISSN - 1520-0493

pISSN - 0027-0644

DOI - 10.1175/mwr3434.1

Subject(s) - data assimilation , satellite , environmental science , special sensor microwave/imager , radiometer , climatology , meteorology , precipitation , microwave , defense meteorological satellite program , microwave radiometer , remote sensing , tropics , atmospheric sciences , computer science , geography , brightness temperature , geology , physics , telecommunications , astronomy , fishery , biology

Global microwave rainfall retrievals from a five-satellite constellation, including the Tropical Rainfall Measuring Mission Microwave Imager, Special Sensor Microwave Imager from the Defense Meteorological Satellite Program F13, F14, and F15, and the Advanced Microwave Scanning Radiometer from the Earth Observing System Aqua, are assimilated into the NASA Goddard Earth Observing System (GEOS) Data Assimilation System using a 1D variational continuous assimilation (VCA) algorithm. The physical and dynamical impact of rainfall assimilation on GEOS analyses is examined at various temporal and spatial scales. This study demonstrates that the 1D VCA algorithm, which was originally developed and evaluated for rainfall assimilations over tropical oceans, can effectively assimilate satellite microwave rainfall retrievals and improve GEOS analyses over both the Tropics and the extratropics where the atmospheric processes are dominated by different large-scale dynamics and moist physics, and also over land...

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