Method for accelerating short-wave infrared satellite carbon dioxide inversion speed

Abstract

The invention discloses a method for accelerating the short-wave infrared satellite carbon dioxide inversion speed. The method comprises the steps that 1, a geographic grid carbon dioxide priori covariance matrix is calculated on the basis of a priori outline database of carbon dioxide; 2, a weighting function of the carbon dioxide concentration is calculated by a layer-by-layer forced interference method; 3, the carbon dioxide concentration value is calculated in an iteration way by an optimum inversion method, in addition, the updated carbon dioxide concentration data is input into a radiation transmission model, and a satellite observation simulation value is calculated in a positive direction; 4, a cost function value is calculated by using the satellite observation simulation value, and if the cost function is reduced, the inversion is completed; otherwise, an iteration factor value is reduced, and the iteration is continuously carried out. The method provided by the invention has the advantages that the mode of increasing the iteration step length factor is utilized, the problem of too small iteration step length in the short-wave infrared band carbon dioxide satellite remote sensing optimum inversion process is solved, and an effective technical method is provided for fast and stably realizing the carbon dioxide concentration inversion.

Description

technical field [0001] The invention relates to the technical field of satellite atmospheric remote sensing, in particular to a short-wave and near-infrared band carbon dioxide satellite remote sensing optimal inversion method. Background technique [0002] According to the IPCC, the rapid increase in the concentration of atmospheric carbon dioxide in the past century has led to global warming, and the concentration and spatial distribution of carbon dioxide are one of the main uncertain factors in the assessment of global climate change. Since the main source of carbon dioxide is concentrated in the near-surface atmosphere, the distribution of carbon dioxide concentration in the bottom atmosphere has become a research hotspot. The traditional ground-based observation network is sparsely distributed, and its observation data cannot meet the application requirements. Satellite remote sensing technology can make up for the shortcomings of limited ground-based observation data....

AI Technical Summary

Problems solved by technology

In the near-infrared carbon dioxide satellite remote sensing, when the optimal estimation method is used to invert carbon dioxide, affected by the prior initial value and the prior covariance matrix, it often occurs that the initial guess value profile is too far away from the real value and the iteration step length is too small. Small causes the iteration to fail to converge

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