Quantitative rainfall estimation method based on multi-source data fusion

A multi-source data and precipitation technology, applied in the field of quantitative precipitation estimation based on multi-source data fusion, to achieve the effect of improving accuracy

Active Publication Date: 2020-09-04
海南省气象科学研究所
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However, various observation methods have their own advantages and disadvantages

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  • Quantitative rainfall estimation method based on multi-source data fusion
  • Quantitative rainfall estimation method based on multi-source data fusion
  • Quantitative rainfall estimation method based on multi-source data fusion

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[0039] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0040] Such as figure 1 and 2 Shown, the present invention a kind of quantitative precipitation estimation method based on multi-source data fusion, described method comprises the following steps:

[0041] Step 1: Determine the gridded precipitation fall area;

[0042] Step 2: In space, interpolate the precipitation retrieved by the microwave link to the grid point in step 1; in terms of time, accumulate the precipitation retrieved by the microwave link into precipitation on a time scale of △T minutes;

[0043] Step 3: Spatially, the weather radar retrieved precipitation is interpolated to the grid point in step 1; temporally, the weather radar retrieved precipitation is converted into precipitation on the time scale of △T minutes by using the time-weighted averaging method;

[0044] Step 4: Obtain the precipitation observed by the rain gauge on the ...

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Abstract

The invention discloses a quantitative rainfall estimation method based on multi-source data fusion. The method comprises the following steps: determining a rainfall falling area by adopting a methodbased on multi-source big data; performing interpolation on microwave link inversion rainfall to a discrete grid and accumulating the interpolation to a T-minute time scale; interpolating weather radar inversion rainfall into a discrete grid and converting the weather radar inversion rainfall into rainfall of a T-minute time scale by adopting a time weight average method; acquiring rainfall observed by a rain gauge of a T-minute time scale, establishing three types of samples of the T-minute time scale by adopting an interpolation method, performing quality control on the three types of samples by adopting corresponding space-time local models respectively, and estimating rainfall and rainfall accumulation by adopting a method of fusing multiple space-time local models. The method has thebeneficial effects: through multi-source data and multi-model fusion, the rainfall quantitative estimation precision is further improved on the basis of realizing accurate monitoring of the rainfall falling area.

Description

technical field [0001] The invention relates to the field of objective analysis of precipitation in meteorology, in particular to a quantitative precipitation estimation method based on multi-source data fusion. Background technique [0002] Precipitation has an important impact on the geographical distribution of wild animals and plants, the layout of industrial and agricultural production, the growth and development of natural vegetation and crops, and human production and life. Too much or too concentrated precipitation can easily cause floods, urban waterlogging, farmland waterlogging, wet damage, mountain torrents, collapses, mudslides, landslides, and soil erosion; too little precipitation can easily cause natural vegetation and crops to suffer drought, forest fires, water resource shortage. Therefore, quantitative precipitation estimation products with high precision and high temporal and spatial resolution have high application value in meteorology, hydrology, disas...

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Application Information

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IPC IPC(8): G01W1/14G01W1/10
CPCG01W1/10G01W1/14
Inventor 张国峰白蕤田光辉
Owner 海南省气象科学研究所
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