A global seamless typhoon power ensemble prediction method and system

A seamless, typhoon-based technology, applied in weather condition forecasting, measuring devices, error detection/correction, etc., to achieve the effect of improving forecasting accuracy

Active Publication Date: 2022-03-04
INST OF ATMOSPHERIC PHYSICS CHINESE ACADEMY SCI
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0010] Traditional regional forecasting systems, subject to side boundary effects, can only make regional forecasts for 1-7 day typhoons

Method used

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  • A global seamless typhoon power ensemble prediction method and system
  • A global seamless typhoon power ensemble prediction method and system
  • A global seamless typhoon power ensemble prediction method and system

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Embodiment Construction

[0058] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0059] Such as figure 1 As shown, the embodiment of the present invention provides a global seamless typhoon power set prediction method, the method comprising:

[0060] S20. Assimilate multivariate observational data into a pre-established climate system model through growth analysis to update the IAU method to provide an initial field, and then perform parallel calculations on a supercomputer to generate a 36-year backcalculation data set and a real-time prediction data set;

[0061] S40. According to the back calcula...

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Abstract

The present invention proposes a global seamless typhoon power set prediction method and system, which assimilates multivariate observation data into the pre-established climate system model through the method of growth analysis and updating IAU, so as to provide the initial field, and then perform parallel calculation on the supercomputer Generate 36-year back calculation data sets and real-time forecast data sets; according to the back calculation data sets and real-time forecast data sets, use the method of direct recognition of typhoon signals to select typhoon signals from the pre-established climate system model prediction results out; the selected typhoon signals are post-processed to generate forecast pictures and released; the global seamless typhoon power set prediction method and system of the present invention can realize global typhoon multi-time scale prediction, and the climate system model coupling process takes into account Ocean and sea ice modules to improve forecast accuracy.

Description

technical field [0001] The present invention relates to the technical field of typhoon forecasting, in particular to a global seamless typhoon power set forecasting method and system. Background technique [0002] The climate system is a highly complex system composed of five main parts: the atmosphere, the hydrosphere, the lithosphere, the cryosphere, and the biosphere. The mutual influence among the internal circles involves the interaction and material exchange between different media and different scales. [0003] The climate system model is a mathematical expression of the above-mentioned climate system, so that people can use supercomputers to perform quantitative, long-term, and large-scale calculations on the complex evolution processes involved, so as to grasp the evolution of the climate system processes, modeling external forcing changes and the effects of human activities, and predicting future climate change trends. The mathematical representation of the clima...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/13G06F17/15G06F11/14G06F16/174G01W1/10
CPCG06F17/13G06F17/15G06F11/1448G06F16/1744G01W1/10Y02A90/10
Inventor 李矜霄包庆何编吴小飞王磊刘屹岷吴国雄
Owner INST OF ATMOSPHERIC PHYSICS CHINESE ACADEMY SCI
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