Objective Estimation of Tropical Cyclone Intensity from Active and Passive Microwave Remote Sensing Observations in the Northwestern Pacific Ocean

被引：13
|
作者：
Xiang, Kunsheng [1 ,2 ,3 ]
Yang, Xiaofeng [1 ,3 ]
Zhang, Miao [4 ,5 ]
Li, Ziwei [1 ]
Kong, Fanping [1 ,2 ]
机构：
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Hainan Key Lab Earth Observat, Sanya 572029, Peoples R China
[4] China Meteorol Adm LRCVES CMA, Key Lab Radiometr Calibrat & Validat Environm Sat, Beijing 100081, Peoples R China
[5] Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China
来源：
REMOTE SENSING | 2019年 / 11卷 / 06期
基金：
国家重点研发计划; 中国国家自然科学基金;
关键词：
tropical cyclone; intensity; SSMIS; HY-2A; Northwestern Pacific; DVORAK TECHNIQUE; NORTH-ATLANTIC; WINDS; IMAGER/SOUNDER; SCATTEROMETER; CALIBRATION; QUIKSCAT; SAR;
D O I：
10.3390/rs11060627
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
A method of estimating tropical cyclone (TC) intensity based on Haiyang-2A (HY-2A) scatterometer, and Special Sensor Microwave Imager and Sounder (SSMIS) observations over the northwestern Pacific Ocean is presented in this paper. Totally, 119 TCs from the 2012 to 2017 typhoon seasons were selected, based on satellite-observed data and China Meteorological Administration (CMA) TC best track data. We investigated the relationship among the TC maximum-sustained wind (MSW), the microwave brightness temperature (TB), and the sea surface wind speed (SSW). Then, a TC intensity estimation model was developed, based on a multivariate linear regression using the training data of 96 TCs. Finally, the proposed method was validated using testing data from 23 other TCs, and its root mean square error (RMSE), mean absolute error (MAE), and bias were 5.94 m/s, 4.62 m/s, and -0.43 m/s, respectively.
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收藏
页数：18
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