Horizontal visibility forecast method based on site measured data and model results

Abstract

The method of horizontal visibility forecasting based on site measured data and model results is specifically to establish a horizontal visibility algorithm based on site measured data and combine model results to realize horizontal visibility forecast. Using the hourly observation data of automatic weather stations, and through the neural network method, establish an algorithm for calculating the horizontal visibility (level) of each station based on basic meteorological elements such as temperature and relative humidity, and then consider the geographical information of the station and the model grid to establish one by one Corresponding relationship, select the site measured data and model forecast data within a period of time, and calculate the model that each grid point of the model is corrected to the measured site. When a forecast is required, first use the correction model to correct the model forecast data of the time to be forecast, then use the visibility algorithm to calculate the visibility or level of the grid point, and finally interpolate to obtain the visibility forecast result of the area. The invention effectively utilizes the observation data and model data of the automatic weather station, and can realize the horizontal visibility forecast with relatively high temporal and spatial resolution.

Description

technical field [0001] The invention belongs to a method for forecasting horizontal visibility. By using a neural network, a visibility algorithm is established from observation data of an automatic weather station, and applied to a model forecast result to finally obtain a forecast result about the horizontal visibility. Background technique [0002] Horizontal visibility is a meteorological element closely related to people's production and life. It represents the farthest horizontal distance at which a person with normal vision can recognize the target object from the background under the prevailing weather conditions. In the automatic weather station, the horizontal visibility is measured by the visibility meter, and the horizontal visibility is obtained according to the attenuation of the laser by the air. When the phenomenon of low visibility occurs, the traffic will often be paralyzed, such as the delay of the plane and the closure of the highway, which will obviousl...

AI Technical Summary

Problems solved by technology

However, these methods often qualitatively predict whether fog will appear in a certain city or region on a certain day, and cannot meet the requirements of refined quantitative forecasting.

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