Air temperature estimation method based on satellite data fusion

Abstract

The invention provides an air temperature estimation method based on satellite data fusion. The air temperature estimation method comprises the following steps: 1, preprocessing acquired geostationary satellite air temperature data and polar orbit satellite air temperature data; 2, establishing an air temperature difference dictionary by using the preprocessed geostationary satellite air temperature data and polar orbit satellite air temperature data; 3, performing super-resolution reconstruction on difference data of the geostationary satellite air temperature data at the reference moment and the geostationary satellite air temperature data at the prediction moment by using the air temperature difference dictionary to obtain reconstructed air temperature difference data with high spatial resolution; 4, adding the polar orbit satellite air temperature data at the reference moment and the obtained air temperature difference value data with the high spatial resolution to obtain a high spatial resolution satellite air temperature product at the prediction moment; and 5, according to the time resolution of the geostationary satellite air temperature data, continuously generating corresponding high-spatial-resolution satellite air temperature data with high time resolution. The data obtained by the method is higher in accuracy and stability.

Description

technical field [0001] The invention relates to the technical field of satellite meteorology, in particular to a temperature estimation method for high temporal and spatial resolution satellite data fusion of static and polar-orbiting meteorological satellite data fusion. Background technique [0002] At present, temperature data are mainly obtained through stations, and interpolation methods are often used for estimation of large-scale temperature data. Remote sensing has the characteristics of macroscopic, dynamic, convenient, economical, and periodic, and can provide timely information on a large scale, which is unmatched by stations. The superiority of the method provides a way to obtain large-scale temperature data. [0003] However, it is difficult to obtain temperature data with high temporal and high spatial resolution by optical satellite sensors on a single platform, which limits the promotion and application of remote sensing temperature data. Obtaining temperatu...

AI Technical Summary

Problems solved by technology

[0003] However, it is difficult to obtain temperature data with high temporal and high spatial resolution by optical satellite sensors on a single platform, which limits the promotion and application of remote sensing temperature data.

Obtaining temperature through stations does not have the characteristics of large-scale continuity, and the space-time contradiction between geostationary satellites and polar-orbiting satellites brings great difficulties to obtaining high-time and high-spatial resolution temperature data

Images