Meteorological data processing method and device for extreme climate prediction
By acquiring and processing moisture data on the target soil layer and soil surface, and using meteorological data prediction network to predict extreme climate events, the problems of low prediction accuracy and difficulty in early warning in the prior art are solved, and higher prediction accuracy and early warning efficiency are achieved.
CN119717071APending Publication Date: 2025-03-28ZHENGZHOU UNIV +1
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Patent Information
- Application Number
- CN202411787043.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-06
- Publication Date
- 2025-03-28
AI Technical Summary
Technical Problem
The existing climate prediction models have low prediction accuracy under the rapid changes in extreme climate events, making it difficult to provide effective early warning.
Method used
By obtaining moisture data on the target soil layer and soil surface, the trained meteorological data prediction network is called, and these data are processed to predict the occurrence of extreme climate events and output early warning information.
Benefits of technology
It improves the accuracy of prediction of extreme climate events, reduces the difficulty of early warning, and can more effectively warning and respond to extreme climate events in advance.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a meteorological data processing method and device for extreme climate prediction. Comprising the steps that first actual meteorological data in a first time period and second actual meteorological data in a second time period are acquired, and the first actual meteorological data comprise moisture data of a target soil layer and moisture data of a soil surface in the first time period; the second actual meteorological data comprises moisture data of the target soil layer and moisture data of the soil surface in a second time period; the trained meteorological data prediction network is called, the first actual meteorological data and the second actual meteorological data are processed, predicted meteorological data in a third time period are obtained, and the predicted meteorological data comprise moisture prediction data of the target soil layer; and obtaining a prediction result of whether an extreme climate event occurs in the third time period based on the predicted meteorological data so as to carry out early warning. The prediction accuracy of the extreme climate event can be improved, and the early warning difficulty of the extreme climate event is reduced.
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