Correcting method for anemometer tower in numerical weather prediction

Abstract

The invention discloses a correcting method for an anemometer tower in numerical weather prediction. Weather information transmitted by a large computer in a junction center through a weather observation station generates a weather prediction preliminary product through mode calculation, information of a selected area is collected through the real-time anemometer tower, and the collected information is uploaded to the junction center; the junction center performs numerical weather prediction correction on the generated weather prediction preliminary product in cooperation with the information transmitted by the real-time anemometer tower. Real-condition data are input to the large computer in the junction center, and the numerical weather prediction result is corrected; in other words, the numerical weather prediction is fed back and intervened through actually measured wind condition data so that the numerical weather prediction can be corrected and fed back. The actually measured data feedback link is added, the numerical weather prediction production result can be more accurate, and meanwhile the problem that in a remote area, numerical weather prediction accuracy is low because of shortage of weather stations is solved.

Description

technical field [0001] The invention relates to the field of weather forecasting, in particular to a method for correcting an anemometer tower in numerical weather forecasting. Background technique [0002] Numerical weather prediction refers to solving the equations of fluid dynamics and thermodynamics describing the weather evolution process through large-scale computer numerical calculations based on the actual conditions of the atmosphere, under certain initial and boundary value conditions, and predicting the weather for a certain period of time in the future. Methods of atmospheric motion states and weather phenomena. [0003] More than 30 countries and regions around the world have used numerical weather forecasting as the main method for making daily weather forecasts. In addition to making short-term numerical weather forecasts for 1 to 2 days, many countries and regions also make medium-term numerical weather forecasts for about a week weather forecast. [0004] ...

AI Technical Summary

Problems solved by technology

For the sparsely populated Gobi grasslands in Northwest my country and northern China, the number of weather stations is very limited. During the production process of the global spectrum model field, the accuracy of meteorological prediction is low, which leads to further fine-grid numerical weather forecasting for this area. The forecast effect is not ideal

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