Intelligent climate prediction system

Abstract

The invention discloses an intelligent climate prediction system. The prediction system comprises a data preprocessing subsystem, an intelligent similar year search prediction subsystem, a time series-based prediction subsystem, a climatic characteristic-based prediction subsystem, a circulation index-based prediction subsystem, an EOF reconstruction-based prediction subsystem, a re-analysis fieldand multi-mode prediction product-based prediction subsystem, a decision tree and any-time forest prediction subsystem, a machine learning-based extended period prediction subsystem, an MJO-based prediction subsystem and an intelligent recommendation subsystem. The intelligent climate prediction system is high in accuracy, stable in prediction and high in pertinence, and prediction objects, prediction areas and prediction methods can be expanded and increased.

Description

technical field [0001] The invention relates to the technical field of climate forecasting, and more specifically relates to an intelligent climate forecasting system. Background technique [0002] In recent years, unprecedented attention has been paid to climate prediction research at home and abroad. Climate prediction research not only has important social and economic significance, but also has important scientific value. It is one of the science and technology fields that are prioritized by various countries. Short-term climate prediction has its solid scientific foundation, and the current short-term climate prediction systems based on this scientific foundation have shown certain prediction skills. Or the short-term climate prediction system with statistical downscaling has problems such as poor regional pertinence, short prediction time, low accuracy, and slow calculation speed, especially single prediction objects and unstable prediction results. [0003] Therefor...

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Problems solved by technology

Short-term climate prediction has its solid scientific foundation, and the current short-term climate prediction systems based on this scientific foundation have shown certain prediction skills. Or the short-term climate prediction system with statistical downscaling has problems such as poor regional pertinence, short prediction time, low accuracy, and slow calculation speed, especially the single prediction object and unstable prediction results.

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