Meteorological proximity prediction method and device, computer equipment and storage medium

A nowcasting and computer program technology, applied in the field of artificial intelligence, can solve the problems of inaccurate nowcasting models, less radar echo data, and low data quality, and achieve the effect of improving rapid learning ability and accuracy

Pending Publication Date: 2020-11-13
上海眼控科技股份有限公司
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] However, due to the lack of radar echo data or the low quality of data in some areas, the obtained nowcasting model is not accurate enough

Method used

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  • Meteorological proximity prediction method and device, computer equipment and storage medium
  • Meteorological proximity prediction method and device, computer equipment and storage medium
  • Meteorological proximity prediction method and device, computer equipment and storage medium

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Embodiment Construction

[0051] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0052] The meteorological nowcasting method provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the computer device 100 is connected with the weather radar 200 , and obtains the nowcasting result according to the radar echo image collected by the weather radar 200 . Wherein, the computer device 100 can be implemented by an independent server or a server cluster composed of multiple servers, and the weather radar 200 can be a conventional pulse radar or a Doppler radar, which is not limited here.

[0053] In one e...

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Abstract

The invention relates to a meteorological proximity prediction method and device, computer equipment and a storage medium. The computer equipment acquires a radar echo map of a target area; then, inputting the radar echo map into a proximity prediction model to obtain meteorological proximity prediction data of the target area; wherein the proximity prediction model is obtained by carrying out migration training on a base model according to a region sample set of a target region; wherein the base model is obtained through training by adopting a meta-learning mechanism and a universal sample set; wherein both the regional sample set and the universal sample set comprise historical radar echo maps and proximity prediction results corresponding to the historical radar echo maps. By adopting the method, the accuracy of meteorological proximity prediction can be improved, and the quick learning ability of a proximity prediction model can be improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a weather nowcasting method, device, computer equipment and storage medium. Background technique [0002] With the development of deep learning technology, artificial intelligence (AI) weather nowcasting has become a research hotspot. However, the meteorological observation data in different regions are mainly collected by scattered radars in different regions. Due to the huge climate differences in different regions, The distribution of radar echo patterns in different regions is quite different, which is still extremely challenging for the use of artificial intelligence in weather nowcasting. [0003] In the traditional method, computer equipment conducts model training on the historical radar echo images of different regions, obtains the nowcasting model of the region, and performs meteorological nowcasting of the region according to the model. [00...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06N20/00G01W1/10
CPCG01W1/10G06Q10/04G06Q50/26G06N20/00
Inventor 王栋
Owner 上海眼控科技股份有限公司
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