Hail cloud identification method based on measurement mining

Abstract

The invention relates to a hail cloud identification technology based on measurement mining, belongs to the field of statistics and especially belongs to the field of image analysis. The invention discloses a hail prediction method for overcoming the disadvantage existing in a conventional method in the prior art that hail cloud prediction often relies on experience for discrimination. The method is characterized by comprising the following steps: step one, obtaining dBZ by use of a cloud atlas, step two, converting RGB images into gray-scale images; step three, dividing reflectivity of the gray-scale images into 15 magnitudes; step four, calculating a proportion of each magnitude; step five, calculating a mean value x1, a variance x2, skewness x3, kurtosis x4, angular second moment x5, an entropy x6, inertia moment x7 and correlation x8 of each magnitude; and step six, by use of a formula y=879.83840.x1+186.90265.x2-1335.x3+770.04074.x4+2145.x5+59.31601.x6-13.01776.x7-6022.x8y0=158.23206, if y is greater than y0, X belongs to G1, and otherwise, X belongs to G2, wherein G1 is a hail shooting cloud set and G2 is a hail cloud-free set. The method can be applied to predicting hail clouds.

Description

technical field [0001] The invention belongs to the field of statistics, in particular to the field of image analysis. Background technique [0002] Hail, as a kind of strong convective weather, is characterized by small spatial scale, short life history, strong suddenness, and rapid development and evolution, and its forecast difficulty is well known. After the development and construction of the "Tenth Five-Year Plan" and "Eleventh Five-Year Plan", the technical level of meteorological hail suppression in Xinjiang has been greatly improved, but compared with the growing needs of national economic and social development, there are still certain deficiencies, mainly manifested in : The accuracy and refinement level of hail weather forecast need to be improved, especially the near (0-3 hours) and short-term (3-12 hours) forecasting ability of local hail weather needs to be enhanced urgently. The "13th Five-Year Plan" period is a critical period for social stability and econo...

AI Technical Summary

Problems solved by technology

After the development and construction of the "Tenth Five-Year Plan" and "Eleventh Five-Year Plan", the technical level of meteorological hail suppression in Xinjiang has been greatly improved, but compared with the growing needs of national economic and social development, there are still certain deficiencies, mainly manifested in : The accuracy and level of refinement of hail weather forecasting needs to be improved, especially for the near (0-3 hours) and short-term (3-12 hours) forecasting capabilities of local hail weather.

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