DocumentCode
1127520
Title
Precipitation Retrieval Accuracies for Geo-Microwave Sounders
Author
Staelin, David H. ; Surussavadee, Chinnawat
Author_Institution
Massachusetts Inst. of Technol., Cambridge
Volume
45
Issue
10
fYear
2007
Firstpage
3150
Lastpage
3159
Abstract
Only instruments on geostationary or comparable platforms can view global precipitation at the ~15-min interval that is necessary to monitor rapidly evolving convective events. This paper compares the abilities of 11 alternative passive microwave sensors to retrieve surface precipitation rates and hydrometeor water paths. Five instruments observe selected frequencies from 116 to 429 GHz with a filled-aperture antenna, and six instruments observe from 52 to 191 GHz with a U-shaped aperture synthesis array. The analysis is based on neural network retrieval methods and 122 global MM5-simulated storms that are generally consistent with the simultaneous Advanced Microwave Sounding Unit observations. Several instruments show considerable promise in retrieving hydrometeor water paths and 15-min average precipitation rates ~1-100 mm/h with spatial resolutions that vary from ~15 to ~50 km. This space/time resolution is potentially adequate to support assimilation of precipitation information into cloud-resolving numerical weather prediction models.
Keywords
atmospheric precipitation; atmospheric spectra; clouds; meteorology; microwave spectra; neural nets; U-shaped aperture synthesis array; alternative passive microwave sensors; cloud-resolving numerical weather prediction models; comparable platforms; geo-microwave sounders; geostationary platforms; global MM5-simulated storms; global precipitation assimilation; hydrometeor water paths; neural network retrieval methods; precipitation retrieval accuracies; rapidly evolving convective events; simultaneous Advanced Microwave Sounding Unit observations; space/time resolution; surface precipitation rates; Antenna arrays; Aperture antennas; Frequency synthesizers; Instruments; Microwave sensors; Monitoring; Network synthesis; Neural networks; Spatial resolution; Storms; Aperture synthesis sounders; geostationary microwave imagers; microwave precipitation estimation; microwave radiative transfer; precipitation;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2007.902928
Filename
4305377
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