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Tropical Cyclone Rain Retrievals from FY-3B MWRI Brightness Temperatures Using the Goddard Profiling Algorithm (GPROF)
Zhang, Ruanyu; Kummerow, Christian D.; Randel, David L.; Brown, Paula J.; Berg, Wesley; Wang, Zhenzhan
Department微波遥感部
Source PublicationJOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
2019
Volume36Issue:5Pages:849-864
DOI10.1175/JTECH-D-18-0167.1
ISSN0739-0572
Language英语
KeywordAtmosphere North Pacific Ocean Rainfall Tropical cyclones Remote sensing Inverse methods
AbstractThis study focuses on the tropical cyclone rainfall retrieval using FY-3B Microwave Radiation Imager (MWRI) brightness temperatures (Tbs). The GPROF, a fully parametric approach based on the Bayesian scheme, is adapted for use by the MWRI sensor. The MWRI GPROF algorithm is an ocean-only scheme used to estimate rain rates and hydrometeor vertical profiles. An a priori database is constructed from MWRI simulated Tbs, the GPM Microwave Imager (GMI) and Dual-Frequency Precipitation Radar (DPR) combined data, and ancillary data resulting in about 100 000 rainfall profiles. The performance of MWRI retrievals is consistent with DPR observations, even though MWRI retrievals slightly overestimate low rain rates and underestimate high rain rates. The total bias of MWRI retrievals is less than 13% of the mean rain rate of DPR precipitation. Statistical comparisons over GMI GPROF, GMI Hurricane GPROF (HGPROF), and MWRI GPROF retrievals show MWRI GPROF retrievals are consistent in terms of spatial distribution and rain estimates for TCs compared with the other two estimates. In terms of the global precipitation, the mean rain rates at different distances from best track locations for five TC categories are used to identify substantial differences between mean MWRI and GMI GPROF retrievals. After correcting the biases between MWRI and GMI retrievals, the performance of MWRI retrievals shows slight overestimate for light rain rates while underestimating rain rates near the eyewall for category 4 and 5 only.
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Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7025
Collection微波遥感部
Recommended Citation
GB/T 7714
Zhang, Ruanyu,Kummerow, Christian D.,Randel, David L.,et al. Tropical Cyclone Rain Retrievals from FY-3B MWRI Brightness Temperatures Using the Goddard Profiling Algorithm (GPROF)[J]. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY,2019,36(5):849-864.
APA Zhang, Ruanyu,Kummerow, Christian D.,Randel, David L.,Brown, Paula J.,Berg, Wesley,&Wang, Zhenzhan.(2019).Tropical Cyclone Rain Retrievals from FY-3B MWRI Brightness Temperatures Using the Goddard Profiling Algorithm (GPROF).JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY,36(5),849-864.
MLA Zhang, Ruanyu,et al."Tropical Cyclone Rain Retrievals from FY-3B MWRI Brightness Temperatures Using the Goddard Profiling Algorithm (GPROF)".JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY 36.5(2019):849-864.
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