Multi-sensor rainfall estimation fusion method

A multi-sensor, fusion method technology, applied in rainfall/precipitation meters, instruments, calculations, etc., to reduce uncertainty, facilitate detection and prediction, and maintain and reconstruct.

Active Publication Date: 2019-09-20
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

Conventional precipitation data fusion methods such as Bayesian estimation and Kalman filter often assume that the prior distribution of precipitation is Gauss

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Embodiment 1

[0053] In order to make the purpose and technical solution of the present invention clearer, the present invention will be further described in detail below in combination with specific implementation cases and with reference to the accompanying drawings.

[0054] A kind of multi-sensor precipitation estimation fusion method of the present embodiment, the overall process of fusion of spaceborne precipitation radar (DPR), ground-based radar (GR) and rain gauge precipitation data based on wavelet domain HMT model, as follows figure 1 As shown, the specific steps are as follows:

[0055] 1) First, from the spaceborne radar DPR data and the ground-based radar GR data, select the DPR precipitation rate data and GR reflectivity factor data that match in time and space. The selection method is firstly through the known DPR scanning swath width and its intersection According to the swath shape model, combined with the longitude of the satellite's trajectory at the highest latitude, th...

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Abstract

The invention discloses a multi-sensor rainfall estimation fusion method. the method comprises: firstly, performing radar (DPR/GR) rainfall estimation data and rain gauge data fusion based on a wavelet domain HMT model adaptive filtering method; and then carrying out multi-scale decomposition and fusion on the DPR and GR rainfall estimation data filtered by the rain gauge in a wavelet domain to obtain a high-precision high-resolution rainfall estimation result. The uncertainty of rainfall estimation of different sensors and wavelet domain statistics and geometrical characteristics of rainfall data are considered in the fusion process, and detail characteristics such as heavy rainfall extreme values and small-scale changes can be better kept and reconstructed while the uncertainty of a single sensor is reduced through the fusion result.

Description

[0001] Technical field: [0002] The invention relates to the technical field of meteorological detection data processing, more precisely, to a fusion method for precipitation estimation of ground-based and space-borne multi-source sensors. [0003] Background technique: [0004] With the increasing demand for high-precision and high-resolution quantitative precipitation estimation and forecasting, and the emergence of more precipitation detection tools, the multi-sensor precipitation detection data should be effectively fused to integrate the characteristics of various sensor detection data and reduce the The uncertainty of precipitation estimation is of great significance. Such as the dual-frequency precipitation radar (DPR, Dual-frequency Precipitation Radar) and microwave imager carried on the main satellite of the Global Precipitation Observation Program (GPM, Global Precipitation Mission), ground-based weather radar, rain gauge, etc. These observation instruments can pro...

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Application Information

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IPC IPC(8): G06K9/62G01W1/02G01W1/14
CPCG01W1/14G01W1/02G06F18/251G06F18/253Y02A90/10
Inventor 寇蕾蕾陈爱军蒋银丰楚志刚胡汉峰李南
Owner NANJING UNIV OF INFORMATION SCI & TECH
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