Intelligent prediction method based on climate rainfall data collection

Abstract

The invention discloses an intelligent prediction method based on climate rainfall data collection, which is used for predicting through a downscaling prediction system combining power and statistics of rainfall in the middle and lower river flood seasons. The system is a system integrating a numerical mode, a statistical model, result analysis and output and result evaluation and inspection. The invention relates to the technical field of rainfall prediction. According to the intelligent prediction method based on climate rainfall data collection, a plurality of meteorological environment collection node devices can be put in cooperation with satellite images to realize collection of meteorological environment data of severe areas in the middle and upstream of a river channel; the purpose of comprehensively and accurately collecting the meteorological environment and rainfall environment data of the middle and upstream regions of the riverway is well achieved, the accuracy of data collection is well improved, and therefore the sub-season scale rainfall prediction work of people is greatly facilitated.

Description

technical field [0001] The invention relates to the technical field of precipitation forecasting, in particular to an intelligent forecasting method based on climate precipitation data collection. Background technique [0002] At present, using the global climate model (GCM) for climate prediction is the most important and feasible method, but due to the low spatial resolution of the current GCM output (usually hundreds of kilometers) and the lack of detailed regional climate information, it is difficult to predict the regional To make reasonable climate predictions, many studies have shown that although GCMs are good at simulating the characteristics of large-scale circulation, they are not effective at simulating surface climate elements such as precipitation and temperature, especially in East Asia, where special monsoon climate characteristics, complex Factors such as terrain and coastline pose great challenges for GCM to simulate and predict the East Asian climate. Ther...

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Problems solved by technology

[0009] Aiming at the deficiencies of the prior art, the present invention provides an intelligent prediction method based on climate and precipitation data collection, which solves the problem that the existing data prediction method completely relies on the Global Climate Model (GCM) for climate prediction, and has a small application range and can only It is suitable for some areas with better satellite observation environment, but for the middle and upper reaches of many rivers, it is generally in some places with bad terrain, unsuitable for human activities, or where on-site monitoring cannot be carried out. Accurate meteorological collection and precipitation data collection cannot be carried out. Realize the collection of meteorological environment data in the middle and upper reaches of the river through the use of multiple meteorological environment collection node devices to cooperate with satellite images, which cannot achieve comprehensive and accurate collection of meteorological environment and precipitation environment data in the middle and upper reaches of the river Therefore, it brings great inconvenience to people's subseasonal scale precipitation forecasting.

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