Downscaling method of cmorph satellite rainfall products based on fuzzy-ols and multi-environmental factor variables
A downscaling and multi-environment technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of low resolution and achieve the effect of improving spatial resolution
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Embodiment 1
[0029] In this embodiment, traditional multiple regression is used for downscaling prediction, and the specific steps are as follows:
[0030] The whole country is selected as the research area, and the monthly rainfall in the wet season (May-October) of 2003-2009 is predicted and studied, and finally the monthly rainfall distribution map with a spatial resolution of 1km is obtained.
[0031] Step 1) Data acquisition: Obtain the CMORPH meteorological satellite remote sensing image data, MODIS satellite remote sensing image data and ASTER GDEM satellite remote sensing image data in the whole country, and collect the daily rainfall observation values of the ground observation stations in the national area; the MODIS satellite remote sensing image The data includes MOD11A2 data product and MOD13A2 data product. Among them: the spatial resolution of the CMORPH meteorological satellite remote sensing image data is 0.25°×0.25°, and the time resolution is 3 hours; the spatial resol...
Embodiment 2
[0042] In this embodiment, the fuzzy-OLS method is used for regression modeling, and the specific steps are: In this embodiment, fuzzy clustering least squares regression is used for downscaling prediction, and the specific steps are as follows:
[0043] The whole country is selected as the research area, and the monthly rainfall in the wet season (May-October) of 2003-2009 is predicted and studied, and finally the monthly rainfall distribution map with a spatial resolution of 1km is obtained.
[0044] Step 1) Data acquisition: Obtain the CMORPH meteorological satellite remote sensing image data, MODIS satellite remote sensing image data and ASTER GDEM satellite remote sensing image data in the national area, and collect the daily rainfall observation values of the ground observation stations in the national area; the MODIS satellite remote sensing image data Image data includes MOD11A2 data products and MOD13A2 data products. Among them: the spatial resolution of the CMORPH...
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