Rainfall field reconstruction method by integrating microwave link, disdrometer, rain gauge and weather radar

Abstract

The invention discloses a rainfall field reconstruction method by integrating microwave link, disdrometer, rain gauge and weather radar: selecting microwave link, disdrometer, rain gauge and weather radar to synchronously observe areas covered and make disperse lattices; making space matching and time matching over data of rainfall intensity synchronously observed by disdrometer, rain gauge and weather radar and making interpolation by inverse distance interpolation to draw lattice data; reconstructing rainfall field by lattice data of rainfall intensity synchronously observed by microwave link, disdrometer, rain gauge and weather radar: evaluating autocorrelation coefficient and cross-correlation coeffi-cient of data of rainfall intensity synchronously observed by microwave link, disdrometer, rain gauge and weather radar by recursion of estimated value in time domain to further determine variance of microwave link, disdrometer, rain gauge and weather radar; estimating and determining best weight of four kinds of data of rainfall intensity by minimum variance to realize rainfall field reconstruction.

Description

technical field [0001] The invention belongs to the field of atmospheric science, and specifically relates to synchronous measurement of a microwave link, a raindrop spectrometer, a rain gauge and a weather radar, optimizes multi-source rainfall data through a data fusion method, and realizes the reconstruction of a rainfall field. Background technique [0002] Accurate estimation of the spatial distribution of precipitation is of great significance for flood monitoring, early warning of geological disasters, hydrological analysis of watersheds, and design of water conservancy projects. Weather radar can provide spatially continuous precipitation dynamic observation information and realize real-time monitoring and early warning of precipitation. However, the radar echo intensity Z is affected by various factors such as ground objects, terrain clutter, and propagation paths, and is different from the rainfall intensity I. The relationship between them is unstable, which makes...

AI Technical Summary

Problems solved by technology

Weather radar can provide spatially continuous precipitation dynamic observation information and realize real-time monitoring and early warning of precipitation. However, the radar echo intensity Z is affected by various factors such as ground objects, terrain clutter, and propagation paths, and is different from the rainfall intensity I. The relationship between them is not stable, making the accuracy of local precipitation measurement not high

The rain gauge can obtain high-precision single-point precipitation intensity and cumulative precipitation, but it can only reflect the precipitation information of limited discrete points, and the station distribution density is limited, and the spatial representation is poor. It is often easy to miss the center of the heavy rainstorm and cannot obtain the space of precipitation fine distribution

The raindrop spectrometer can obtain the raindrop spectrum characteristics of precipitation, and can describe the precipitation in detail, with high measurement accuracy, but the spatial representation is limited

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