ISSN 1000-0526
CN 11-2282/P
CN 11-2282/P
Research on the Correlation Between FY-4A Satellite Cloud Parameters and Precipitation in Zhejiang in Summer
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Abstract:
Based on the cloud products from FY-4A satellite and the raindrop spectrometer data in Zhejiang Province, this paper analyses the characteristics of summer precipitation and its relationship with cloud parameters from 2020 to 2022. Results showed that in the summer of Zhejiang, the occurrence ratio of moderate rainfall was the highest in different precipitation levels, storm rainfall mostly occurred in the mountainous areas of southern Zhejiang, and the occurrence ratio of convective cloud precipitation in this area was also the highest. The relationship between precipitation characteristics and cloud parameters was manifested as follows: The probability of light rainfall is highest for water cloud and cirrus cloud, supercooled water cloud and mixed cloud precipitation is mainly concentrated in moderate to heavy rainfall, ice cloud have the highest probability of heavy rainfall, particularly storm rainfall, the precipitation characteristics of multi-layer cloud might be similar to those of water cloud. The average precipitation intensity increased with the decrease of cloud top temperature (CTT) and the increase of cloud optical thickness (COT), but the correlation with cloud effective particle radius (CER) was not strong in this study. Combining two parameters (CTT and COT) demonstrates the gradient variation of precipitation intensity and its higher sensitivity to COT, with heavy precipitation more likely to occur under low CTT and high COT. Incorporating CER to construct a three-parameter combination further reflects the effect of cloud droplet coalescence efficiency on precipitation microphysical processes, leading to more precise precipitation estimation. Convective cloud precipitation had the characteristics of lower CTT and larger COT compared with stratiform cloud precipitation, but the stratiform cloud precipitation was often accompanied by convective processes. In the future, statistical relationships between similar cloud products from different satellites and precipitation in other regions can be established to provide a reference for guiding weather modification operations precisely.
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