Subjects: Geosciences >> Atmospheric Sciences submitted time 2023-03-13 Cooperative journals: 《干旱区研究》
Abstract： By using FY-4A satellite data and artificial observation data of recent (2018-2020) severe precipitation cases in Ningxia, four different FY-4A satellite product types are examined in terms of their availability. Results show that: (1) The data transmission rate and physical preservation of FY-4A are sufficient to support real-time monitoring and early warning services; (2) The five kinds of products i.e., Cloud Type (CLT), Cloud Phase (CLP), Cloud Top Height (CTH), Quantitative Rainfall-Rate Estimation (QPE), and Tropopause Folding Depth (TFTP_Z_depth), have different performances in the case of severe convective weathers in Ningxia. Among them, CLT and CLP have good availability, making it possible to determine the type of cloud more accurately. However, both CTH and QPE have large errors and tend to be smaller, so they need to be revised in conjunction with other means. The relationship between CTT or TFTP_Z_depth products and recent severe precipitation is obvious. The high value of CTH is conducive to the occurrence of heavy precipitation but is not a necessary condition. Overall, the FY- 4A satellite has certain usability and reference in severe convective weather in Ningxia, which can provide better data support for convective weather discrimination and artificial influence on weather operation.
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