Global Precipitation Estimates from Cross-Track Passive Microwave Observations Using a Physically Based Retrieval Scheme
| Autor: | Jiun-Dar Chern, Chris Kummerow, Toshihisa Matsui, Dave Randel, Chris Kidd, Karen I. Mohr |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Meteorology Bayesian probability 0211 other engineering and technologies 02 engineering and technology 01 natural sciences Data acquisition Environmental science Satellite Gprof Precipitation Global Precipitation Measurement Image resolution 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing Constellation |
| Zdroj: | Journal of Hydrometeorology. 17:383-400 |
| ISSN: | 1525-7541 1525-755X |
| Popis: | The estimation of precipitation across the globe from satellite sensors provides a key resource in the observation and understanding of our climate system. Estimates from all pertinent satellite observations are critical in providing the necessary temporal sampling. However, consistency in these estimates from instruments with different frequencies and resolutions is critical. This paper details the physically based retrieval scheme to estimate precipitation from cross-track (XT) passive microwave (PM) sensors on board the constellation satellites of the Global Precipitation Measurement (GPM) mission. Here the Goddard profiling algorithm (GPROF), a physically based Bayesian scheme developed for conically scanning (CS) sensors, is adapted for use with XT PM sensors. The present XT GPROF scheme utilizes a model-generated database to overcome issues encountered with an observational database as used by the CS scheme. The model database ensures greater consistency across meteorological regimes and surface types by providing a more comprehensive set of precipitation profiles. The database is corrected for bias against the CS database to ensure consistency in the final product. Statistical comparisons over western Europe and the United States show that the XT GPROF estimates are comparable with those from the CS scheme. Indeed, the XT estimates have higher correlations against surface radar data, while maintaining similar root-mean-square errors. Latitudinal profiles of precipitation show the XT estimates are generally comparable with the CS estimates, although in the southern midlatitudes the peak precipitation is shifted equatorward while over the Arctic large differences are seen between the XT and the CS retrievals. |
| Databáze: | OpenAIRE |
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