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Open AccessArticle

An Integrated Convective Cloud Detection Method Using FY-2 VISSR Data

Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China
Author to whom correspondence should be addressed.
Academic Editor: Robert W. Talbot
Atmosphere 2017, 8(2), 42;
Received: 26 November 2016 / Revised: 11 February 2017 / Accepted: 15 February 2017 / Published: 20 February 2017
The characteristics of convective clouds on infrared brightness temperature (BTIR) and brightness temperature difference (BTD) image were analyzed using successive Infrared and Visible Spin-Scan Radiometer (VISSR) data of FY-2, and an integrated detection method of convective clouds using infrared multi-thresholds in combination with tracking techniques was implemented. In this method, BT and BTD thresholds are used to detect severe convection and uncertain clouds, then the tracking technique including overlap ratio, minimum BT change and cross-correlation coefficient is used to detect convection activities in uncertain clouds. The Application test results show that our integrated detection method can effectively detect convective clouds in different life periods, which show a better performance than any single step in it. The statistical results show that the α-type clouds are mostly large-scale systems, and the β- and γ-type clouds have the highest proportion of general type. However, the proportion of weak convective cloud is higher than that of severe ones in γ-type cloud, and an opposite result is found in the β-type. View Full-Text
Keywords: convective cloud; VISSR; integrated method; detection convective cloud; VISSR; integrated method; detection
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MDPI and ACS Style

Liang, K.; Shi, H.; Yang, P.; Zhao, X. An Integrated Convective Cloud Detection Method Using FY-2 VISSR Data. Atmosphere 2017, 8, 42.

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