Atmospheric temperature and humidity profile inversion method for high-latitude complex underlying surface

Abstract

The invention discloses an atmospheric temperature and humidity profile inversion method for a high-latitude complex underlying surface, and the method is characterized in that the method comprises the following steps: S1, channel selection; S2, selecting clear sky pixels; S3, constructing a neural network model; and S4, carrying out atmosphere temperature and humidity profile inversion. According to the method, the problem of high-precision inversion of the atmosphere temperature and humidity profile in the high-latitude region is solved, an atmosphere temperature and humidity profile inversion system based on infrared hyperspectral data carried on the Chinese meteorological satellite FY-3D is successfully constructed, and an inversion test shows that the method achieves ideal precision in atmosphere temperature and humidity inversion in the high-latitude region.

Description

technical field [0001] The invention relates to the field of atmospheric science atmospheric remote sensing and atmospheric detection, in particular to a three-dimensional field remote sensing inversion method of atmospheric temperature and humidity based on polar-orbiting meteorological satellite hyperspectral infrared sensor data. Background technique [0002] The high latitudes of the earth are covered by oceans, ice and snow all the year round, and are one of the important cold sources in the world. With global warming, where temperature changes are more variable in high latitudes than in low latitudes, sea ice is shrinking rapidly, with important implications not only for the flora and fauna of the region, but also for climate regulation across the planet It has an important impact on the climate in the middle and low latitudes of the northern hemisphere. In particular, the frequency of rapid warming of the Arctic troposphere has gradually exceeded that of the stratosp...

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Problems solved by technology

At present, there is still a certain gap between my country and Europe and the United States in satellite remote sensing of three-dimensional atmospheric temperature and humidity field, and in the FY-3D / HIRAS business inversion algorithm, only the area within 60° north and south latitude is considered, resulting in high latitude HIRAS atmospheric temperature The accuracy of humidity business products is not high, so it is necessary to develop algorithms for high latitude areas separately

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