The Improved AMSU Rain-Rate Algorithm and Its Evaluation for a Cool Season Event in the Western United States
Author(s) -
Shuang Qiu,
Paul Pellegrino,
Ralph Ferraro,
Limin Zhao
Publication year - 2005
Publication title -
weather and forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.393
H-Index - 106
eISSN - 1520-0434
pISSN - 0882-8156
DOI - 10.1175/waf880.1
Subject(s) - advanced microwave sounding unit , environmental science , meteorology , brightness temperature , satellite , mesocyclone , defense meteorological satellite program , storm , radar , rain rate , remote sensing , brightness , microwave , doppler radar , computer science , geology , geography , precipitation , telecommunications , physics , optics , aerospace engineering , engineering
Rain-rate retrievals from passive microwave sensors are useful for a number of applications related to weather forecasting. For example, in the United States, such estimates are useful for offshore rainfall systems approaching land and in regions where the Weather Surveillance Radar-1988 Doppler (WSR-88D) network is inadequate. Improvements have been made to the rain-rate retrieval from the Advanced Microwave Sounding Unit (AMSU) on board the National Oceanic and Atmospheric Administration (NOAA) Polar Orbiting Environmental Satellites (POESs). The new features of the improved rain-rate algorithm include a two-stream correction of the satellite brightness temperatures at 89 and 150 GHz, cloud- and rain-type classification for better retrieval of rain rate, and removal of the two ad hoc thresholds in the ice water path (IWP) and effective diameter (De) retrieval where the scattering signals are very small. In this paper, the new algorithm has been compared to the previous NOAA operational algorith...
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