Southwest region precipitation extension period comprehensive forecast information processing method and processing system

An information processing method and regional technology, applied in weather condition forecasting, measuring devices, meteorology, etc., can solve problems such as forecast errors and incomplete summarization of weather conditions, and achieve the effect of improving accuracy

Active Publication Date: 2021-04-23
CHENGDU UNIV OF INFORMATION TECH +2
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Problems solved by technology

[0008] (1) The forecast error caused by the forecaster's own bureau
[0009] (2) Incomplete summary of the past weather situation, resulting in forecast errors

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  • Southwest region precipitation extension period comprehensive forecast information processing method and processing system
  • Southwest region precipitation extension period comprehensive forecast information processing method and processing system
  • Southwest region precipitation extension period comprehensive forecast information processing method and processing system

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Embodiment Construction

[0067] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0068] The present invention is mainly composed of two parts: a data processing and forecasting server end and an intelligent application end. The former mainly includes a data receiving module, a low-frequency data processing module, a low-frequency weather flow pattern determination module, an extended period precipitation model forecast module, and a forecast result analysis module; the latter includes a data access module, an interactive module and a result feedback module. The design concept of the system is based on the predictability of low-frequency oscillation and low-frequency disturbance energy to the extended pe...

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Abstract

The invention belongs to the technical field of weather information processing, and discloses a southwest region precipitation extension period comprehensive forecast information processing method and processing system, and the system is mainly composed of a data processing and forecast server and an intelligent application terminal. The data processing and forecast server mainly comprises a data receiving module, a data low-frequency processing module, a low-frequency weather flow pattern determining module and the like. The intelligent application terminal comprises a data access module and other modules. The system quantitatively describes the low-frequency weather through multiple regression and a neural network algorithm, and comprehensively forecasts the precipitation in the southwest region in combination with a low-frequency weather map, a low-frequency disturbance energy map and the like. According to the invention, the forecasting result is more intuitive, dependence on artificial experience forecasting is reduced to a certain extent, and the influence of subjective factors is less. The system can play a supplementary role in forecasting of forecasting workers, and qualitative forecasting and quantitative forecasting are correctly combined for use, so that the forecasting efficiency and accuracy can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of weather information processing, and in particular relates to a method and a processing system for comprehensive forecast information processing of precipitation extension period in Southwest China. Background technique [0002] The tropical atmospheric intraseasonal oscillation was first discovered by Madden and Julian in the early 1970s, and later named Madden Julian Oscillation (abbreviated as MJO) after Madden and Julian. It is a universal phenomenon in the world. Through further research on MJO, the extension period forecast of MJO mainly adopts two methods: statistical model and dynamic model. The MJO index is used in dynamical models, such as GFS / NCEP (Global Forecast System), CFS / NCEP (Climate Forecast System), GEFS / NECP (Global Ensemble Prediction System), etc. [0003] In the late 1980s and early 1990s, Sun Guowu et al. proposed the extended period forecasting method of "low-frequency weather ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01W1/10
CPCG01W1/10
Inventor 肖天贵李勇杨明鑫金荣花
Owner CHENGDU UNIV OF INFORMATION TECH
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