Tropical Cyclone Rain Retrievals from FY-3B MWRI Brightness Temperatures Using the Goddard Profiling Algorithm (GPROF)

doi:10.1175/JTECH-D-18-0167.1

	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
刊名	JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
	2019
卷号	36 期号:5 页码:849-864
关键词	Atmosphere North Pacific Ocean Rainfall Tropical cyclones Remote sensing Inverse methods
ISSN号	0739-0572
DOI	10.1175/JTECH-D-18-0167.1
英文摘要	This 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.
语种	英语
内容类型	期刊论文
源URL	[http://ir.nssc.ac.cn/handle/122/7025]
专题	国家空间科学中心_微波遥感部
推荐引用方式 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.