Method of Retrieving Atmospheric Visibility with Adaptive Variable Scale Through Microwave Link Meshing

Abstract

The invention discloses a method for retrieving atmospheric visibility through self-adaptive and variable scale of microwave link gridding, which comprises the following steps: 1) reasonably divide large-scale grids in the monitoring area according to the size of the area, and establish small-scale grids at the same time , each large-scale grid is divided into 3×3 small-scale grid nests, and the microwave link and the grid are scale-matched. 2) For large-scale grids, use the random forest algorithm to judge whether the atmospheric visibility is 500 meters for classification training, and determine the grid boundary of the area where the atmospheric visibility is less than 500 meters 3) Use the program to realize the automatic conversion of small-scale grids within the boundaries, and you will get Atmospheric visibility multi-source data fusion and inversion calculation to obtain small-scale grid visibility. The present invention can realize gridded self-adaptive variable scale inversion of atmospheric visibility, solves the problem of uneven spatial distribution of atmospheric visibility inversion, provides ideas for systematic monitoring and inversion of atmospheric visibility, and provides high temporal and spatial resolution atmospheric visibility inversion method.

Description

technical field [0001] The invention relates to a method for retrieving atmospheric visibility through self-adaptive variable scale gridding of microwave links, and belongs to the field of meteorological monitoring. Background technique [0002] With the rapid development of my country's economy and society, the transportation network has reached an unprecedented level of development, and low visibility has a very bad impact on transportation. The inversion of atmospheric visibility is the key and main basis for understanding the characteristics of atmospheric changes under complex conditions. , is also an important guarantee to promote traffic safety decision-making. [0003] At present, there are visual and instrumental measurement methods for inversion and measurement of atmospheric visibility. Visual measurement often has a lot of subjectivity, and there are many interference factors such as the psychological factors of the measurers. The measurement is relatively rough, ...

AI Technical Summary

Problems solved by technology

[0003] At present, there are visual and instrumental measurement methods for inversion and measurement of atmospheric visibility. Visual measurement often has a lot of subjectivity, and there are many interference factors such as the psychological factors of the measurers. The measurement is relatively rough, and the measurement results often have large errors; instrumental measurement Although the accuracy of the method is high, it is greatly affected by the environment, requires regular maintenance and calibration, and the distribution is uneven and the spatial resolution is low.

Moreover, the currently widespread methods for inverting atmospheric visibility have uneven spatial distribution, and the research on inverting visibility during the day is relatively well developed in terms of time, while the monitoring of atmospheric visibility at night has limitations and cannot form a complete regional inversion of atmospheric visibility. system

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