Radar echo extrapolation prediction method and system based on velocity field sensing network

A technology of radar echo and prediction method, applied in prediction, neural learning method, biological neural network model, etc., can solve the problems of inaccurate prediction results and unreasonable network structure design.

Active Publication Date: 2018-03-02
TSINGHUA UNIV
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However, these methods are purely data-driven, the network structure de

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  • Radar echo extrapolation prediction method and system based on velocity field sensing network
  • Radar echo extrapolation prediction method and system based on velocity field sensing network
  • Radar echo extrapolation prediction method and system based on velocity field sensing network

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[0037] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0038] Aiming at the problem that the radar echo at the future time cannot be well predicted at present, the embodiment of the present invention provides a radar echo extrapolation prediction method, which includes: inputting the radar echo data and velocity field data into the trained velocity field perception The radar extrapolation network model obtains the predicted radar echo sequence.

[0039] figure 1 It is a flow chart of obtaining a trained speed field perception radar extrapolation network model in an embodiment of the present invention, such as figure 1 As shown, the trained speed field perception radar extrapolation network model is obtained through the follo...

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Abstract

The invention provides a radar echo extrapolation prediction method and system based on a velocity field sensing network. The prediction method includes: inputting radar echo data and velocity field data into a trained velocity field sensing radar extrapolation network model to obtain a prediction radar echo sequence, wherein the trained velocity field sensing radar extrapolation network model isobtained by the following steps of building a memory at any time, building an output gate at any time, obtaining a hidden state at any time, constructing a long short-term memory network structure atany time, building and integrating a radar extrapolation network model with a velocity field to obtain the velocity field sensing radar extrapolation network model, and inputting tensor sequence datainto the velocity field sensing radar extrapolation network model for training to obtain a trained velocity field sensing radar extrapolation network model. According to the invention, information hidden in historical data is mined. The velocity field is combined in the velocity field sensing radar extrapolation network model, which makes the model have more accurate prediction capability.

Description

technical field [0001] The present invention relates to the field of computer data analysis, more specifically, to a radar echo extrapolation prediction method and system based on a velocity field perception network. Background technique [0002] Radar weather data is crucial to national meteorological services, and radar echo extrapolation is a major means of quantitative precipitation forecasting and catastrophic short-term forecasting. Therefore, whether the radar echo sequence in the future can be accurately predicted based on the radar echo sequence in the past will affect the accuracy of the subsequent quantitative precipitation forecast and disaster short-term forecast. The accurate prediction of radar echo extrapolation is extremely important for generating emergency rainfall warnings at the social level, generating airport weather guidance, and seamlessly connecting to long-term numerical weather prediction models. [0003] In the process of radar echo extrapolatio...

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Application Information

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IPC IPC(8): G06Q10/04G06N3/08
CPCG06N3/084G06Q10/04
Inventor 王建民龙明盛高志烽王韫博
Owner TSINGHUA UNIV
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