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A Correction Method of Satellite Precipitation Data Based on Multi-source Information Fusion and Downscaling

A multi-source information fusion and data correction technology, applied in visual data mining, electrical digital data processing, structured data retrieval, etc., can solve the problem of accurately obtaining large-scale and global precipitation distribution, Problems such as low accuracy and low spatial resolution of satellite precipitation products

Active Publication Date: 2021-03-23
INST OF DESERT METEOROLOGY CMA URUMQI
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  • Claims
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems that rain gauges and radars are difficult to accurately obtain large-scale and global precipitation distributions, and the existing satellite precipitation products have low precision and low spatial resolution, and provide a multi-source information fusion based Correction method for satellite precipitation data with downscaling

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  • A Correction Method of Satellite Precipitation Data Based on Multi-source Information Fusion and Downscaling
  • A Correction Method of Satellite Precipitation Data Based on Multi-source Information Fusion and Downscaling
  • A Correction Method of Satellite Precipitation Data Based on Multi-source Information Fusion and Downscaling

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Embodiment 1

[0062] Example one, as figure 1As shown, a method for calibrating satellite precipitation data based on multi-source information fusion and downscaling, this embodiment 1 takes the Tianshan Mountains in Xinjiang as the study area. Tianshan is the mountain system farthest from the ocean in the world and one of the seven largest mountain systems in the world, with an area of ​​about 570,000 square kilometers. As the geographical dividing line between southern Xinjiang and northern Xinjiang, the Tianshan Mountains have an average elevation of 4,000m and are composed of a series of landform units such as mountains, intermountain basins, valleys and piedmont plains. This area is a typical alpine mountainous area in my country, with uneven distribution of precipitation, huge differences in time and space, and large precipitation in summer and small in winter. In this example, a calibration study is carried out for the grade 3 monthly precipitation product IMERG (Integrated Multi-sa...

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Abstract

The invention discloses a satellite precipitation data correction method based on multi-source information fusion and downscaling. The method comprises the following steps: S1) acquiring live precipitation data and a satellite inversion precipitation product; S2) carrying out optimal interpolation according to the real-time rainfall data and a satellite inversion rainfall product; S3) obtaining low spatial resolution NDVI data; S4) selecting an environment variable and low spatial resolution NDVI data, and performing independent variable screening; S5) establishing a GWR downscaling model; S6)utilizing the GWR model to obtain OI-GWR corrected rainfall grid point data of the research area; and S7) checking the OI-GWR corrected precipitation grid point data of the research area by adopting10-fold cross validation. According to the method of the invention, optimal interpolation is introduced to improve the quality of original satellite precipitation data, and a better initial field is obtained; on the basis that an initial field is improved, a GWR method is used for downscaling, and the spatial resolution and precision of obtained downscaled data are improved.

Description

technical field [0001] The invention relates to the field of hydrological and meteorological data analysis, in particular to a satellite precipitation data correction method based on multi-source information fusion and downscaling. Background technique [0002] Precipitation is the main driver of the Earth's water cycle. Accurately obtaining information on the spatial and temporal distribution of precipitation is fundamental to improving the functioning of the Earth system and better predicting weather, climate and natural disaster events. At present, there are three main ways to obtain precipitation information: live observation of stations, radar estimation and satellite remote sensing inversion. Station observations have high accuracy, but most of the stations are located in low-altitude areas, and the distribution is uneven, which cannot effectively reflect the spatial variation characteristics of precipitation, and the spatial representation is insufficient. However, ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/215G06F16/26
CPCG06F16/215G06F16/26
Inventor 卢新玉刘艳王秀琴王小军
Owner INST OF DESERT METEOROLOGY CMA URUMQI
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