• INFRARED
  • Vol. 43, Issue 6, 42 (2022)
Wei GUO*, Wen GU, and Lin-li CUI
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1672-8785.2022.06.006 Cite this Article
    GUO Wei, GU Wen, CUI Lin-li. Analysis of The Application Effect of FY4A Convective Initiation Product on Monitoring and Forecasting Strong Convective Weather in Shanghai[J]. INFRARED, 2022, 43(6): 42 Copy Citation Text show less

    Abstract

    The convective initiation, convective flow area, and convective monitoring of the strong convective weather process in Shanghai during the flood season of 2018--2019 are comprehensively analyzed based on strong convective monitoring products, mesoscale numerical forecasts and conventional ground-based observations on the FY4A satellite. The effects of different satellite products in the severe convective weather warnings are also analyzed. The results show that: (1) the convective incipient product of the FY4A satellite is comparable to high-sensitivity radar in the monitoring of local convection. In some weather processes, the timeliness of convective prediction is higher than that of radar detection, and the predicted location of convective initiation is close to the actual location of convective initiation in spatial distribution and morphology. Based on the cloud top temperature change, convection incipient products can also predict the development and weakening trend of convection. (2) The FY4A lightning product and the convection incipient product have a good consistency in both time and fall area. FY4A lightning observation mainly focuses on the convective initiation and convective intensification, which has certain indicative significance for convective prediction. (3) The combination of relevant products on FY4A satellite, mesoscale numerical forecasts and ground routine observation data can be used for the intelligent analysis of short-term weather, and effectively make up for the lack of routine observation data. It also acts as a good indicator in the initial convection, convection area and convection monitoring so as to improve the efficiency of short strong convective weather warning.
    GUO Wei, GU Wen, CUI Lin-li. Analysis of The Application Effect of FY4A Convective Initiation Product on Monitoring and Forecasting Strong Convective Weather in Shanghai[J]. INFRARED, 2022, 43(6): 42
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