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Progressive decision-making method for forecasting rainstorm in mountainous region

A decision-making method and rainstorm technology, applied in weather forecasting, measuring devices, meteorology, etc., can solve the problem of limited warning time of precipitation weather radar

Active Publication Date: 2018-11-02
BUREAU OF HYDROLOGY CHANGJIANG WATER RESOURCES COMMISSION
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Problems solved by technology

At present, the forecast and early warning of mountain torrent disasters are mainly based on the results of ground rain gauges and precipitation weather radars. The warning time of precipitation weather radars is very limited, and disasters may have already occurred when ground rain gauges are used to carry out rainstorm forecasts

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  • Progressive decision-making method for forecasting rainstorm in mountainous region
  • Progressive decision-making method for forecasting rainstorm in mountainous region

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[0021] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0022] See figure 1 with figure 2 , A progressive decision-making method for mountain rainstorm forecast, including multi-model nested mountain rainstorm progressive forecast method, forecast model nested node control method and mountain rainstorm target evaluation and feedback method;

[0023] The multi-mode nested mountain rainstorm progressive forecasting method is: adopting the precipitation forecasting model, according to the precipitation forecasting model forecasting the difference in time and space scale, adopting multiple information fusion, according to the spatial scale from large to...

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Abstract

The invention provides a progressive decision-making method for forecasting a rainstorm in a mountainous region. The progressive decision-making method comprises a multi-mode nested mountainous regionrainstorm progressive forecasting method, a forecasting mode nested node control method and a mountainous region rainstorm target evaluation and feedback method. According to the progressive decision-making method, a rainfall forecasting mode comprising a numerical weather forecasting product, comprehensive forecasting information based on high-altitude and ground atmospheric sounding data, radarand satellite prediction information and the like is adopted, and rainfall forecasting is gradually carried out according to spatial scales from large to small and time scales from long to short forthe differences of spatial-temporal scales and effects in various modes of forecasting, and a method of continuously evaluating a forecasting target, circulating frequency of a decision-making mode and forecasting results is adopted.

Description

Technical field [0001] The invention relates to the technical field of precipitation forecasting, in particular to a progressive decision-making method for mountain rainstorm forecasting. Background technique [0002] Mountain torrential rain is one of the main factors inducing mountain torrent disasters. At present, the forecast and early warning of mountain flood disasters are mainly based on the results of surface rain gauges and precipitation weather radars. The warning time of precipitation weather radars is very limited, and disasters may have occurred when the ground rain gauges are used to carry out rainstorm forecasts. With the continuous advancement of precipitation forecasting technology based on precipitation weather radar satellites, high-altitude and ground atmospheric detection, and numerical weather models, they have been able to carry out precipitation forecasts at their respective time and space scales. How will they be suitable for large-scale and long-term per...

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Application Information

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IPC IPC(8): G01W1/10
CPCG01W1/10Y02A90/10
Inventor 程海云熊明杨文发陈瑜彬訾丽
Owner BUREAU OF HYDROLOGY CHANGJIANG WATER RESOURCES COMMISSION
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