Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Subseasonal-seasonal-interannual scale integrated climate model ensemble prediction system

A forecasting system and model technology, applied in forecasting, design optimization/simulation, instruments, etc., can solve the problems of consuming computer resources and storage resources, limitations of forecasting performance, failure to meet forecasting business and social service needs, etc., and achieve resolution High, high prediction accuracy, good maneuverability

Active Publication Date: 2022-04-05
国家气候中心
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the past, weather and climate predictions for weather scales and extended periods were based on separate atmospheric models, while seasonal and interdecadal climate predictions were based on coupled climate models. Therefore, climate predictions for different time scales required running several sets of prediction subsystems separately, which cost a lot of money. A large number of computer resources and storage resources cannot meet the needs of forecasting business and social services
In the process of climate model prediction, not only the initial value of the atmosphere is very important, but also the initial value information of elements such as ocean, land surface, and sea ice. The initial disturbance scheme and ensemble prediction scheme of the model have different effects on climate prediction at different time scales. The initial perturbation schemes of previous climate prediction models used methods such as the initial value time-lag method of the atmosphere or sea surface temperature, the singular vector method, and physical parameter perturbation methods to construct ensemble sample members. This single initial value perturbation method improves the prediction performance have greater limitations

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Subseasonal-seasonal-interannual scale integrated climate model ensemble prediction system
  • Subseasonal-seasonal-interannual scale integrated climate model ensemble prediction system
  • Subseasonal-seasonal-interannual scale integrated climate model ensemble prediction system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. 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.

[0019] see Figure 1-5 , the present invention provides a technical solution:

[0020] Subseasonal-seasonal-interannual scale integrated climate model ensemble prediction system, including initialization module, high-resolution climate model module, ensemble prediction module and prediction post-processing module, the initialization module is used to download, extract and process the atmosphere, land surface Multi-source observation data, reanalysis data, ass...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a subseasonal-seasonal-interannual scale integrated climate model ensemble prediction system, including an initialization module, a high-resolution climate model module, an ensemble prediction module and a post-prediction processing module. The initialization module is used for downloading, extracting and processing the included Multi-source data of the atmosphere, land surface, ocean, and sea ice, using external parameters to control and realize data selection, inspection, horizontal and vertical interpolation of meteorological elements and other pre-processing, suitable for data pre-processing of all climate model operations, high resolution The climate model module is used to objectively and quantitatively predict the coupled and coordinated changes of the atmosphere, land surface, ocean, and sea ice. The ensemble prediction module is used to generate any number of ensembles that combine random disturbances of physical parameters and initial value time lag methods. Predict sample membership. The invention provides a multi-time-scale and multi-space-scale climate prediction of the atmosphere, land surface, ocean and sea ice with high resolution, high prediction accuracy and good maneuverability.

Description

technical field [0001] The invention relates to the technical field of climate prediction, specifically a subseasonal-seasonal-interannual scale integrated climate model ensemble prediction system. Background technique [0002] The problem of climate prediction is a worldwide problem. It is not only a frontier topic of international climate change research, but also an urgent need for national disaster prevention and reduction and climate change response. Climate model is the most objective tool and method for climate prediction. Therefore, the research and development of climate model system and ensemble prediction technology based on climate model are the current research focus of meteorological circles around the world. In the past, weather and climate predictions for weather scales and extended periods were based on separate atmospheric models, while seasonal and interdecadal climate predictions were based on coupled climate models. Therefore, climate predictions for dif...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06Q10/04G06Q50/26G06F119/12
CPCG06F30/20G06Q10/04G06Q50/26G06F2119/12
Inventor 吴统文李巧萍颉卫华宇如聪梁潇云姚隽琛颜京辉程彦杰刘向文路屹雄王在志张芳刘一鸣张艳武李伟平吴方华李江龙储敏辛晓歌张洁房永杰张莉魏敏
Owner 国家气候中心
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products