A method for estimating near-surface atmospheric temperature from thermal infrared data of geostationary meteorological satellites

Abstract

The invention belongs to the technical field of atmospheric remote sensing, and discloses a method for estimating near-surface atmospheric temperature from thermal infrared data of static meteorological satellites. The representative thermal infrared observation brightness temperature and near-surface temperature are obtained by using satellite observation brightness temperature, meteorological stations and numerical forecast model data. Surface atmospheric temperature; use satellite cloud detection products to obtain the matching data set of observed brightness temperature, station actual temperature and auxiliary data under cloudless conditions; analyze satellite observation radiation brightness temperature, atmospheric pressure, relative humidity, satellite The relationship between the observation angle, the Julian day parameters, etc., and the near-surface atmospheric temperature is determined to be used to estimate the key factors of the atmospheric temperature; the inversion model of the near-surface air temperature estimation is constructed using neural network technology; The purpose of retrieving near-surface atmospheric temperature from satellite thermal infrared data under clear-sky conditions.

Description

technical field [0001] The invention belongs to the technical field of atmospheric remote sensing, and in particular relates to a method for estimating near-surface atmospheric temperature from thermal infrared data of stationary meteorological satellites. Background technique [0002] At present, the existing technology commonly used in the industry is as follows: the atmospheric temperature near the surface is generally measured using observation instruments 2 meters above the ground, which is an important parameter to describe the environmental conditions and is also an important data measured by meteorological observation stations. Atmospheric temperature near the surface plays an important role in plant photosynthesis, respiration, and land surface evapotranspiration, and is also of great significance to the study of global climate change, land surface processes, and plant growth status. At present, there are five main research methods for near-surface atmospheric tempe...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the current research on satellite thermal infrared data to estimate the near-surface atmospheric temperature mainly uses the secondary surface temperature product and other auxiliary parameters to determine the near-surface atmospheric temperature. The temperature algorithm accuracy directly depends on the accuracy of the secondary surface temperature product

[0005] For satellite data without land surface temperature operational products, it is impossible to estimate near-surface atmospheric temperature based on existing algorithms

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