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Multi-source rainfall data fusion method based on partition adaptive weight

A technology of self-adaptive weight and data fusion, applied in the direction of electrical digital data processing, digital data information retrieval, special data processing applications, etc., to achieve the effect of high spatial resolution, improved accuracy, and high accuracy

Inactive Publication Date: 2021-08-03
CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a multi-source precipitation data fusion method based on partition adaptive weight, thereby solving the aforementioned problems existing in the prior art

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  • Multi-source rainfall data fusion method based on partition adaptive weight
  • Multi-source rainfall data fusion method based on partition adaptive weight
  • Multi-source rainfall data fusion method based on partition adaptive weight

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Embodiment 1

[0056] Such as figure 1 As shown, in this embodiment, a multi-source precipitation data fusion method based on partition adaptive weight is provided, including the following steps,

[0057] S1. Perform preprocessing operations on satellite precipitation data and ground station observation precipitation data respectively;

[0058] S2. Evaluate the accuracy of the preprocessed satellite precipitation data, and select the satellite precipitation data that meets the accuracy assessment requirements;

[0059] S3. Based on the partition adaptive weight fusion method, the satellite precipitation data meeting the accuracy assessment requirements and the ground station observation precipitation data are fused and corrected to obtain the optimal weight of satellite precipitation data at each level;

[0060] S4. Based on the optimal weights of satellite precipitation data at various levels, a weight self-examination table is made.

[0061] In this embodiment, the fusion method provided...

Embodiment 2

[0107] In this embodiment, the execution process of the fusion method provided by the present invention is described in detail in combination with specific examples. Taking the five ground observation stations of Zangga, Miaoweishishachanggou, Misha, Xiaojinggu and Jinuoshan in the Lancang River Basin as examples, this paper introduces examples.

[0108] 1. Data preprocessing

[0109] Firstly, data preprocessing is performed on ground station data and satellite precipitation data, with the purpose of unifying the data format and facilitating subsequent operations.

[0110] 1. For the observation data of ground stations, check the missing data of each station, remove the station if it is seriously missing, and perform interpolation if it is slightly missing. The latitude and longitude information of the five ground observation stations of Zangga, Miaoweishishachanggou, Misha, Xiaojinggu and Jinuoshan in the Lancang River Basin are shown in Table 1. The daily data from January ...

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Abstract

The invention discloses a multi-source rainfall data fusion method based on partition adaptive weight, and the method comprises the following steps: S1, carrying out the preprocessing of satellite rainfall data and ground station observation rainfall data; S2, evaluating the precision of the preprocessed satellite rainfall data, and screening out the satellite rainfall data meeting the precision evaluation requirement; S3, based on a partition adaptive weight fusion method, performing fusion correction on the satellite rainfall data and the ground station observation rainfall data meeting the precision evaluation requirement, and obtaining the optimal weight of each level of satellite rainfall data; and S4, making a weight self-look-up table based on the optimal weight of each level of satellite rainfall data. The method has the advantages that the advantages of high spatial resolution of satellite rainfall data and high precision of ground station observation data are integrated, the disadvantages of the satellite rainfall data and the ground station observation data are also properly discarded, and the two kinds of data are made to complement each other to the greatest extent through a reverse solution mode, so that rainfall data with relatively high accuracy and relatively high applicability are obtained.

Description

technical field [0001] The invention relates to the technical field of satellite precipitation inversion and fusion, in particular to a multi-source precipitation data fusion method based on partition self-adaptive weights. Background technique [0002] A single precipitation data cannot carry out high-precision spatio-temporal precipitation estimation for the watershed. Therefore, the satellite precipitation data with a wide coverage but large errors and the sparsely distributed but high-precision ground station observation data can be fused together. The fusion methods of precipitation data from satellites and rainfall stations can usually be divided into two categories: global correction and local correction. Among them, global correction methods include average deviation correction method, linear regression method, dual-kernel smoothing method, etc.; local correction methods mainly include co-kriging, geographically weighted regression, Bayesian fusion, etc. However, th...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/12G06F16/2458G01W1/10
CPCG06N3/126G06F16/2465G01W1/10G06F18/254
Inventor 杨明祥南林江蒋云钟王浩董宁澎王贺佳张居嘉
Owner CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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