Tropical cyclone warm core analyses with FY-3 microwave temperature sounder data

Zhe Liu; Jie Bai; Wenjun Zhang; Jun Yan; Zhuhua Zhou

doi:10.1117/12.2063711

14 May 2014 Tropical cyclone warm core analyses with FY-3 microwave temperature sounder data

Zhe Liu, Jie Bai, Wenjun Zhang, Jun Yan, Zhuhua Zhou

Proceedings Volume 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China; 915811 (2014) https://doi.org/10.1117/12.2063711
Event: Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, 2012, Wuhan, China

Abstract

Space-borne microwave instruments are well suited to analyze Tropical Cyclone (TC) warm core structure, because certain wavelengths of microwave energy are able to penetrate the cirrus above TC. With the vector discrete-ordinate microwave radiative transfer model, the basic atmospheric parameters of Hurricane BOB are used to simulate the upwelling brightness temperatures on each channel of the Microwave Temperature Sounder (MWTS) onboard FY-3A/3B observation. Based on the simulation, the characteristic of 1109 super typhoon “Muifa” warm core structure is analyzed with the MWTS channel 3. Through the radiative and hydrostatic equation, TC warm core brightness temperature anomalies are related to surface pressure anomalies. In order to correct the radiation attenuation caused by MWTS scan geometric features, and improve the capability in capturing the relatively complete warm core radiation, a proposed algorithm is devised to correct the bias from receiving warm core microwave radiation, shows similar time-variant tendency with “Muifa” minimal sea level pressure as described by TC best track data. As the next generation of FY-3 satellite will be launched in 2012, this method will be further verified

Citation Download Citation

Zhe Liu, Jie Bai, Wenjun Zhang, Jun Yan, and Zhuhua Zhou "Tropical cyclone warm core analyses with FY-3 microwave temperature sounder data", Proc. SPIE 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, 915811 (14 May 2014); https://doi.org/10.1117/12.2063711

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