Fusion Method of Multi-source Precipitation Products Based on Dynamic Heuristic Algorithm

Abstract

The present invention provides a multi-source precipitation product fusion method based on a dynamic heuristic algorithm, including: collecting limited station observation data in areas with scarce data, satellite inversion and reanalysis of precipitation data sets; using local magnitude scaling methods and equal rate The correction method corrects each data set and obtains the correction coefficient of each station; describes the ability of each data source to capture precipitation events through the assignment function, and calculates the state weight with space-time dynamic attributes; considers the ability of each data source to simulate the precipitation level , calculate the dynamic magnitude weight based on the cuckoo algorithm; use the ordinary Kriging interpolation method to dynamically map the correction coefficients, state weights and magnitude weights of all stations to the same spatial resolution, and obtain a long series of The raster quantitative precipitation product. The invention effectively integrates the advantages of each precipitation data source, corrects the system deviation of each precipitation data source, and provides a reference basis for river basin hydrological simulation and water resource planning.

Description

technical field [0001] The invention belongs to the technical field of multi-source data fusion, and in particular relates to a multi-source precipitation product fusion method based on a dynamic heuristic algorithm. Background technique [0002] High-quality quantitative precipitation data are important basic data for disaster prevention and early warning, agricultural production management, ecological protection, hydrological simulation of river basins, and planning and design of water conservancy projects. Traditional precipitation data mainly rely on station observations, but the meteorological station network is usually small in density and uneven in space, which makes it difficult to accurately reflect the temporal and spatial variation characteristics of precipitation, and cannot meet the needs of high-precision hydrological simulation and other engineering applications. [0003] In recent years, satellite telemetry technology and data inversion algorithms have develo...

AI Technical Summary

Problems solved by technology

However, the following problems generally exist in the existing research: (1) the temporal and spatial heterogeneity of precipitation is generally ignored, and the dynamic characteristics of fusion parameters are less considered; (2) the systematic bias of each precipitation data source cannot be corrected, especially the simultaneous Correcting the frequency and magnitude of precipitation

In general, the existing research fails to effectively integrate the advantages of various precipitation data sources, which restricts the planning, management and operation scheduling of water conservancy projects.

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