Application of FY Satellite Data in Precipitation of Eastward-Moving Southwest China Vortex: A Case Study of Precipitation in Zhejiang Province

• Published in: Atmosphere 2023-11, Vol.14 (11), p.1664
• Main Authors: Mao, Chengyan, Qing, Yiyu, Qian, Zhitong, Zhang, Chao, Gu, Zhenhai, Gong, Liqing, Liao, Junyu, Li, Haowen
• Format: Article
• Language: English
• Subjects: application evaluation; Blackbody; Body temperature; Cirrus clouds; Classification; Cloud classification; Cloud precipitation; Cloud systems; Cloud types; Cloud vortices; Clouds; Convective clouds; Convective precipitation; Deviation; Dispersion; Forecasting; FY-2F; Hydrologic data; Identification methods; Meteorological satellites; Methods; Precipitation; Precipitation (Meteorology); Precipitation forecasting; Quadrants; Rain; Rainfall; Remote sensing; Satellite data; Satellite imaging; southwest China vortex; Stratiform clouds; TBB threshold; Vortices; Warm seasons
• ISSN: 2073-4433; 2073-4433
• DOI: 10.3390/atmos14111664

Based on the high-resolution data from April to October (the warm season) during the 2010 to 2020 timeframe provided by the FY-2F geostationary meteorological satellite, the classification and application evaluation of the eastward-moving southwest vortex cloud system affecting Zhejiang Province was conducted using cloud classification (CLC) and black body temperature (TBB) products. The results show that: (1) when the intensity of the eastward-moving southwest vortex is strong, the formed precipitation is predominantly regional convective precipitation. The cloud system in the center and southeast quadrant of the southwest vortex is dominated by cumulonimbus and dense cirrus clouds with convective precipitation, while the other quadrants are mainly composed of stratiform clouds, resulting in stable precipitation; (2) The original text is modified as follows: By using the TBB threshold method to identify stratiform and mixed cloud rainfall, we observed a deviation of one order of magnitude. This deviation is advantageous for moderate rain. However, the precipitation results from mixed clouds identified by the TBB threshold method are being overestimated; By means of the application of stratiform and mixed cloud rainfall identified by the TBB threshold method, an order of magnitude deviation was identified (3) The TBB can be consulted to estimate the precipitation, above which there is a large error. Moreover, the dispersion of precipitation produced by deep convective clouds is the largest, while the dispersion of precipitation produced by stratiform clouds is the smallest and has better predictability. Compared to CLC products, cloud type results based on TBB identification are better for convective cloud precipitation application.