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Historical similarity weather analysis method

An analysis method and similarity technology, applied in the field of historical similarity weather analysis, can solve problems such as high timeliness requirements, large differences in temporal and spatial resolution and storage formats, and difficulty in historical similarity analysis, achieving the effect of high accuracy.

Pending Publication Date: 2020-03-06
兰州大方电子有限责任公司
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Problems solved by technology

[0003] The purpose of the present invention is: the present invention provides a historical similarity weather analysis method, which solves the difficulty in analyzing historical similarity due to the large variety of meteorological data, high timeliness requirements, large differences in temporal and spatial resolution, and storage formats. technical issues

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Embodiment

[0052] In this example, the historical live data use the NECP reanalysis data of 2.5°×2.5°, and the current live data use the European Center 2.5°×2.5° coarse grid data issued by the China Meteorological Administration. The length of the historical data is from 1970 to the present, and the element field is 500hPauv wind field, 850hPauv wind field, and sea level air pressure field at 20:00 and 08:00.

[0053] The comprehensive similarity coefficients of the current actual field and the historical field of the 500hPauv wind field, 850hPauv wind field, and sea level pressure field are calculated, and the calculated comprehensive similarity coefficients of meteorological elements at each level are weighted and averaged to obtain the value of the similarity degree. Let r500 be the value of similarity between a certain day in history and the current live field, and also get r850 and r999 (sea level pressure field), then the similarity value of the current forecast field: R24=0.1*r500...

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Abstract

The invention discloses a historical similarity weather analysis method, which belongs to the technical field of weather monitoring, and comprises the following steps of: firstly, obtaining historicalreal condition data and current real condition data of weather; calculating a comprehensive similarity coefficient of each layer by utilizing weather of the historical live data and the current livedata; and finally, calculating the similarity degree by utilizing the comprehensive similarity coefficient of each layer. By adopting the similarity analysis method provided by the invention, the historical similarity can be effectively analyzed, and the accuracy is high.

Description

technical field [0001] The invention relates to the technical field of climate monitoring, in particular to a historical similarity weather analysis method. Background technique [0002] At present, the importance of historical similar weather analysis is becoming more and more important in meteorological research. The analysis and summary of historical similar weather is very important for the understanding of weather system configuration and the establishment of forecast ideas. Meteorological stations and forecasters at all levels attach great importance to the historical similarity. Summary analysis of sex weather. However, there are many types of meteorological data, high timeliness requirements, large differences in temporal and spatial resolution, and storage formats. Station forecasters often suffer from problems such as difficulty in collecting and searching data, inconvenient browsing of scattered data, and difficulty in processing and analysis. At the same time, i...

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Application Information

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IPC IPC(8): G06Q10/04G06F17/16G06Q50/26
CPCG06Q10/04G06Q50/26G06F17/16
Inventor 李晓纯李扬于娟
Owner 兰州大方电子有限责任公司
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