Short-time proximate value weather forecasting system and method
A numerical weather forecast and short-term technology, applied in the field of optical detection, can solve the problems of inaccurate weather forecast, poor real-time performance, and large data processing error, so as to improve the level of refined forecast, improve real-time performance and accuracy, and improve accuracy degree of effect
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[0047] Example 1
[0048] See figure 1 , figure 1 It is a schematic diagram of the structure of the short-term proximity numerical weather prediction system provided by this embodiment. Such as figure 1 As shown, the short-term near-time numerical weather prediction system includes a pre-processing subsystem 100, an assimilation subsystem 200, a forecasting subsystem 300, and a post-processing subsystem 400, among which:
[0049] The pre-processing subsystem 100 is used to obtain the background field, the boundary field and the radar inversion wind field of the target area of the weather to be forecasted from the observation device using the vertical velocity suppression technology, and to generate the cloud analysis field based on the background field and the boundary field .
[0050] In this embodiment, the above-mentioned observation devices can be radars, typhoon pre-wrapping papers, air detection devices, wind profile detection devices, ground stations, and radiosonde station...
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[0075] Example 2
[0076] See figure 2 , figure 2 It is a schematic diagram of the structure of the short-term nearby numerical weather prediction system provided in the second embodiment of the present invention. among them. figure 2 The short-term near-term numerical weather forecast system shown is composed of figure 1 The short-term proximity numerical weather forecast system shown is optimized.
[0077] Such as figure 2 As shown, the forecasting subsystem 300 includes a mode selection module 301, a first forecasting module 302, a second forecasting module 303, and a third forecasting module 304, where:
[0078] The mode selection module 301 is used to select one or more forecast modules from the first forecast module 302, the second forecast module 303, and the third forecast module 304 as the target module group, and send the three-dimensional grid point field to the target module group. Forecast module.
[0079] The first prediction module 302 is configured to perform data...
Example Embodiment
[0096] Example 3
[0097] See image 3 , image 3 It is a schematic flowchart of the short-term near-term numerical weather forecast method provided in the third embodiment of the present invention. Such as image 3 As shown, the short-term approach to numerical weather prediction method includes the following steps:
[0098] S601. Obtain the background field, the boundary field, and the radar inversion wind field of the target area of the weather to be forecast, and generate a cloud analysis field based on the background field and the boundary field.
[0099] S602: Perform variational assimilation processing on the wind field and cloud analysis field retrieved by the radar to obtain the initial field.
[0100] In the embodiment of the present invention, the variational assimilation is based on the Grapes-m3dv version, and a multi-scale assimilation version is developed. A multi-scale assimilation scheme is adopted for the observation data. In the process of minimizing the object...
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