Method for estimating near-surface atmospheric temperature by thermal infrared data of geostationary meteorological satellite

Abstract

The invention belongs to the technical field of atmospheric remote sensing, and discloses a method for estimating a near-surface atmospheric temperature by using thermal infrared data of a geostationary meteorological satellite. The satellite is used for observing brightness temperature, meteorological station and numerical prediction model data to obtain a representative thermal infrared observation brightness temperature and near-surface atmospheric temperature; satellite cloud detection products are used for obtaining matched data sets for the observation brightness temperature, the stationactually measured temperature and auxiliary data under cloudless conditions; based on a stepwise regression method, the relationship between the radiation temperature of satellite observation, atmospheric pressure, relative humidity, a satellite observation angle, Julian daily parameters and the like and near-surface atmospheric temperature is analyzed, and key factors used for estimating the atmospheric temperature are determined; and a inversion model of near-surface temperature estimation is constructed by using a neural network technology. The method can realize the purpose of inversion of the near-surface atmospheric temperature under the clear sky condition of the thermal infrared data of the stationary meteorological satellite.

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 technologies commonly used in the industry are as follows: Air temperature is generally measured using observation instruments 2 meters above the ground, which is an important parameter to describe environmental conditions and an important data measured by meteorological observation stations. Temperature plays an important role in photosynthesis, respiration, and land surface evapotranspiration of plants, 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 temperature inversion: single-factor statistical method, multi-factor statistical method, ar...

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Problems solved by technology

[0003] In summary, the problems in the prior art are: At present, the satellite thermal infrared data that have been studied to estimate the temperature mainly use the secondary surface temperature product and other auxiliary parameters to determine the near-surface atmospheric temperature. The accuracy of this type of near-surface air temperature algorithm directly depends on the accuracy of the secondary surface temperature product.

[0005] For satellite data without land surface temperature operational products, temperature estimation cannot be performed based on existing algorithms

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