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A weather cold index forecasting method

A meteorological data and index technology, applied in the field of meteorological cold index forecasting, can solve the problems of lack of correction, imperfect corresponding rules for cold index levels, low precision, etc., to ensure accuracy, reliability, reliability and accuracy. Effect

Active Publication Date: 2022-08-02
田祎
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing meteorological cold index forecasting methods still have low accuracy and lack of correction. They only perform simple statistics and calculations on the impact factors, and the corresponding rules of the cold index grades of each impact factor are not perfect.

Method used

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Embodiment

[0050] A meteorological cold index forecast method, according to the grading standards of three indicators: the highest temperature on the day, the daily difference of temperature and the 24-hour change of the highest temperature, the grade level of each indicator is calculated, and then the highest level of the three indicators is taken as the cold index. preliminary grade.

[0051] The method includes the following steps:

[0052] S1: Obtain meteorological data, obtain meteorological data through meteorological data sensor measurement, and store the meteorological data in the cloud or storage medium. The meteorological data includes measurement data and forecast data;

[0053] S2: Determine the classification standard of the highest temperature;

[0054] S3: Determine the grading standard of daily temperature range;

[0055] S4: Determine the grading standard of the 24-hour change in the highest temperature;

[0056] S5: Determine the classification of the meteorological ...

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Abstract

The invention discloses a meteorological cold index forecasting method. The maximum value among the highest temperature classification, the daily temperature difference classification and the 24-hour change classification of the highest temperature is used as the classification level of the meteorological cold index, and the highest temperature is comprehensively considered in the classification determination rules. For the influence of temperature on each classification, the daily temperature range and 24-hour temperature change are corrected in a targeted manner to ensure the reliability and accuracy of the basic data. Moreover, the present invention expresses the meteorological cold index in the form of a five-digit integer, which can intuitively and clearly reflect the meaning of the meteorological cold index.

Description

technical field [0001] The invention relates to the field of meteorological forecasting, in particular to a meteorological cold index forecasting method. Background technique [0002] The determination of the meteorological cold index needs to determine the meteorological influencing factors. The meteorological influencing factors of the cold index mainly include: the highest temperature of the day (Tmax), the daily temperature difference (△T12), the 24-hour change of the highest temperature (△T24), the wind speed ( Ws), relative air humidity (Rh) or 24-hour precipitation (R24). [0003] Weather cold index Sp=f(x 1(Tmax) , x 2(ΔT12) , x 3(ΔT24) , x 4(Ws) , x 5(R24或Rh) ) [0004] The existing meteorological cold index forecasting methods still have low precision and lack of correction. They only perform simple statistics and calculations on the impact factors, and are not perfect in the corresponding rules for the cold index levels of each impact factor. [0005] There...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/18G16H50/80G01W1/10
CPCG06F17/18G16H50/80G01W1/10
Inventor 田祎
Owner 田祎