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A method and apparatus for predicting atmospheric visibility

A technology of atmospheric visibility and visibility, applied in the computer field, can solve problems such as poor visibility prediction effect and inaccuracy

Pending Publication Date: 2019-03-29
长三角环境气象预报预警中心
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] One purpose of this application is to provide a method and equipment for predicting atmospheric visibility, which solves the problem of poor and inaccurate visibility prediction in the prior art

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  • A method and apparatus for predicting atmospheric visibility
  • A method and apparatus for predicting atmospheric visibility
  • A method and apparatus for predicting atmospheric visibility

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Embodiment Construction

[0041] The application will be described in further detail below in conjunction with the accompanying drawings.

[0042] In a typical configuration of the present application, the terminal, the device serving the network and the trusted party all include one or more processors (CPUs), input / output interfaces, network interfaces and memory.

[0043] Memory may include non-permanent storage in computer readable media, in the form of random access memory (RAM) and / or nonvolatile memory such as read only memory (ROM) or flash RAM. Memory is an example of computer readable media.

[0044] Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can be implemented by any method or technology for storage of information. Information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random acce...

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Abstract

An object of the present application is to provide a method and apparatus for predicting atmospheric visibility. The method includes acquiring target characteristic data, wherein the target characteristic data comprises upper air prediction data, surface prediction data and historical monitoring data; Extracting features from the target feature data to obtain sample data including basic features,spatial features and temporal features; Cutting the sample data according to a preset proportion to obtain training set data, verifying set data and test set data, and resampling the training set datato obtain resampling training set data; establishing A visibility prediction model according to the binary classification model, the regression model and the resampling training set data. The visibility prediction model is established through the processing of multiple feature extraction and pre-judgement results to obtain more accurate prediction results.

Description

technical field [0001] The present application relates to the field of computers, in particular to a method and device for predicting atmospheric visibility. Background technique [0002] Due to the complex meteorological environment factors, the index prediction of atmospheric visibility has always been a relatively complicated problem. At present, the commonly used prediction methods include the mechanism prediction method based on the atmospheric chemical transport model and the statistical prediction method based on the machine learning model. The former has been widely used in practical engineering. However, since the atmosphere is a very complex system, it is difficult to quantify it theoretically, so there are large errors in the mechanism prediction method. [0003] At present, the forecast of atmospheric visibility by the domestic meteorological bureau is obtained by using the atmospheric chemical coupling model (WRF-Chem) combined with the correction of the multip...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04
CPCG06Q10/04
Inventor 马井会余钟奇瞿元昊曹钰潘亮许建明俞晓强
Owner 长三角环境气象预报预警中心
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