High resolution precipitation data processing method

Abstract

The invention relates to a precipitation data processing method which uses temporal interpolation to treat detected accumulated precipitation, based on the could picture detected per hour by geostationary meteorological satellite and cloud classification information to attain high resolution. The method comprises the steps of: attaining accumulation precipitation spatial distribution data; classifying could pictures; finding the precipitation rate of each could type; determining the accumulation precipitation temporal interpolation weight factor of each could type; processing temporal weight interpolation of each hour for the accumulation precipitation evaluation data; and outputting the accumulated precipitation evaluation data of each hour. The invention can improve the time resolution of precipitation evaluation data treatment.

Description

technical field

[0001] The invention relates to a data processing method, in particular to a high-resolution precipitation data processing method based on static meteorological satellite observation. Background technique

[0002] Precipitation is one of the most important variables affecting the exchange of water, heat and momentum between the earth and the atmosphere controlled by the surface. It is also a very important weather, climate and environmental variable. Reasonable and accurate estimation of the temporal and spatial distribution of precipitation is important in climate, ecology, It is of great significance in agricultural and environmental research. One of the main applications of precipitation estimation is to provide high-resolution spatial and temporal distribution of meteorological forcing for land surface process models and hydrological models, and to estimate various land surface variables such as soil moisture and temperature, runoff, etc. At present, the...

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