Winter rainfall phase state diagnosis method and system based on geostationary satellite temperature and humidity profile

By using the high-temporal resolution temperature and humidity profile data and ground station data provided by stationary satellites, a diagnostic model is constructed, which solves the problem of accuracy deviation in winter precipitation phase forecasting, and achieves higher monitoring accuracy and timeliness.

CN119719713APending Publication Date: 2025-03-28NAT SATELLITE METEOROLOGICAL CENT
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Patent Information

Application Number
CN202411796125.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-09
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The prior art has accuracy deviations in the prediction of phase states of precipitation in winter, especially when the temperature and humidity environment changes rapidly when cold air invades, it is difficult to accurately predict numerical modes, and the coverage and real-time performance of sounding data are insufficient.

Method used

The winter precipitation phase diagnosis method is adopted based on the temperature and humidity profile of the stationary satellite, and the atmospheric temperature and humidity profile data of the stationary meteorological satellite and the precipitation phase data of the ground station are obtained, and the matching and partitioning process is carried out, and a diagnostic model is constructed to achieve real-time diagnosis.

Benefits of technology

It improves the timeliness and accuracy of winter precipitation phase monitoring, can capture subtle changes in the atmosphere more accurately, and is suitable for complex and rapidly changing winter precipitation phases.

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Abstract

The invention discloses a winter rainfall phase state diagnosis method and system based on a geostationary satellite temperature and humidity profile, and the method comprises the steps: obtaining the atmosphere temperature and humidity profile data of a geostationary meteorological satellite, carrying out the preprocessing, and generating a basic data set; obtaining winter rainfall phase state data of the ground station, and performing classification preprocessing to generate a winter rainfall phase state data set; performing matching and partitioning processing on the basis of the basic data set and the winter rainfall phase state data to generate a matched and partitioned data set; constructing a diagnosis model based on a preset key meteorological characteristic quantity and the data set after matching and partitioning; and acquiring real-time atmosphere temperature and humidity profile data of the stationary meteorological satellite, inputting the real-time atmosphere temperature and humidity profile data into the diagnosis model, performing precipitation phase state diagnosis, and generating a precipitation phase state diagnosis result. Therefore, according to the winter rainfall phase state diagnosis method based on the stationary satellite temperature and humidity profile, the timeliness and accuracy of winter rainfall phase state monitoring are improved.
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