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Space statistical downscaling rainfall estimation method based on geographical difference analysis method

A technology of geographical differences and spatial statistics, applied in the fields of computing, electrical digital data processing, special data processing applications, etc., can solve the problems such as the inability to obtain regional high-precision spatiotemporal precipitation data, and the inability to provide regional small-scale precipitation information.

Inactive Publication Date: 2015-08-05
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

For refined research, regional small-scale precipitation information cannot be provided at this resolution, and neither the global climate model nor the regional climate model can obtain regional high-precision spatiotemporal precipitation data

Method used

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  • Space statistical downscaling rainfall estimation method based on geographical difference analysis method
  • Space statistical downscaling rainfall estimation method based on geographical difference analysis method
  • Space statistical downscaling rainfall estimation method based on geographical difference analysis method

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Embodiment Construction

[0039] A spatial statistical downscaling precipitation estimation method based on geographic difference analysis method, comprising the following steps:

[0040] Step A, using the annual precipitation TRMM (Tropical Rainfall Measuring Mission satellite) 3B43 of satellite precipitation data and the relationship between the Normalized Differential Vegetation Index (NDVI) to establish a statistical model to obtain the downscaling annual precipitation;

[0041] Step B, using Geographical Difference Analysis (GDA) to calibrate the downscaled annual precipitation obtained in step A;

[0042] Step C, the weighted decomposition of the calibrated downscaled annual precipitation obtained in step B into monthly precipitation data;

[0043] Step D, use the geographical difference analysis method to calibrate the monthly precipitation data obtained in step C, and obtain the calibrated monthly precipitation data.

[0044] In step A, the statistical model of the relationship between the an...

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Abstract

The invention discloses a space statistical downscaling rainfall estimation method based on a geographical difference analysis method. The method comprises the following steps that: A, a statistical model is built according to the relationship between annual rainfall data of satellite precipitation data and a normalized differential vegetation index, and the downscaling annual rainfall is obtained; B, the geographical difference analysis method is adopted for calibrating the downscaling annual rainfall obtained in the step A; C, the calibrated downscaling annual rainfall obtained in the step B is subjected to weighted decomposition to obtain monthly rainfall data; and D, the geographical difference analysis method is adopted for calibrating the monthly rainfall data obtained in the step C, and the calibrated monthly rainfall data is obtained. Compared with a conventional method, the space statistical downscaling rainfall estimation method has the advantages of higher relevance and smaller error.

Description

technical field [0001] The invention relates to a statistical downscaling method, in particular to a spatial statistical downscaling precipitation estimation method based on a geographical difference analysis method. Background technique [0002] Precipitation is an important part of the Earth's water cycle, and it is closely related to research fields such as meteorology, ecology, hydrology and agriculture. There are usually three types of precipitation data used in the fields of ecology, hydrological models, and meteorology: the first type is precipitation data for weather or climate numerical forecasting; the second type is precipitation data for stations observed by Rain Gauge Stations (RGS); The third is satellite precipitation data based on remote sensing technology. [0003] In numerical forecasting, global and regional climate models have been used to simulate precipitation distribution, especially the mesoscale climate WRF model, which has an important application ...

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Application Information

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IPC IPC(8): G06F17/50
Inventor 毕硕本陈东祺刘爱利潘健沈香
Owner NANJING UNIV OF INFORMATION SCI & TECH
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