Method for automatically identifying and forecasting artificial hail suppression operation potential through computer
An automatic identification and computer technology, applied in computer parts, calculation, scene identification, etc., can solve the problems of large differences in the identification and judgment of hail potential indicators, empty alarms, omissions, etc., to avoid subjective errors and improve accuracy. , time-saving effect
Active Publication Date: 2021-05-07
福建省气象科学研究所
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Problems solved by technology
However, due to human-subjective identification and judgment of hail potential indicators in the V-3θ diagram, there are large differences, which often result in missed and empty reports
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[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0032] This embodiment utilizes the method for automatically identifying and forecasting the potential conditions of the artificial hail suppression operation by computer, such as figure 1 As shown, the implementation steps are:
[0033] A calculates the atmospheric stratification parameters;
[0034] Select a single station or multiple sounding stations, read the characteristic layer data in real time, calculate and draw the potential temperature θ, and the ...
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The invention discloses a method for automatically identifying and forecasting artificial hail suppression operation potential through a computer. The method comprises the following steps of: calculating and drawing a bit temperature theta, a false-phase bit temperature theta and a saturated false-phase bit temperature line on the basis of sounding characteristic layer data read in real time, and obtaining a V-3theta image by combining sounding wind direction and wind speed data, wherein the abscissa represents the absolute temperature, the ordinate is atmospheric pressure; according to the V-3theta image, identifying atmospheric junction parameter characteristics including theta inflection, ultralow temperature, vertical wind shear conditions, water vapor vertical distribution conditions and cold layer cloud characteristics; and automatically identifying and forecasting the potential of the artificial hail suppression operation according to the atmospheric junction parameter characteristics. A computer image recognition method is utilized, atmospheric vertical stratification conditions and hail reduction potential indexes are judged through automatic recognition, artificial hail reduction potential forecasting results are provided, subjective judgment errors are avoided, and the forecasting accuracy and disaster prevention and reduction efficiency are improved.
Description
technical field [0001] The invention relates to the technical field of artificial hail suppression, in particular to a method for automatically identifying and forecasting potential conditions of artificial hail suppression by using a computer. Background technique [0002] Artificial hail suppression is one of the artificial means that can effectively resist or mitigate hail disasters. my country is a big country that develops artificial hail suppression, and more than 20 provinces are currently carrying out artificial hail suppression operations for different purposes such as protecting tobacco and fruit trees. [0003] Although the research on artificial hail suppression at home and abroad has been accumulated for many years, the key problem still unsolved in the artificial hail suppression operation is how to obtain the precursory meteorological information of possible hailstorm several hours in advance, so that artificial hail suppression can suppress the occurrence of ...
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IPC IPC(8): G06Q10/04G06Q50/26G06K9/00G01W1/10
CPCG06Q10/04G06Q50/26G01W1/10G06V20/13Y02A90/10
Inventor 林文张维李丹
Owner 福建省气象科学研究所