Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method for dynamically changing the combination of wrf model parameterization schemes based on surface air pressure distribution

A dynamically changing and parametric technology, applied in meteorology, weather forecasting, design optimization/simulation, etc., to achieve the effect of high forecast accuracy

Active Publication Date: 2021-03-23
CHINA INST OF WATER RESOURCES & HYDROPOWER RES
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] The purpose of the present invention is to provide a method for dynamically changing the combination of WRF model parameterization schemes based on the surface air pressure distribution situation, thereby solving the aforementioned problems in the prior art

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
  • A method for dynamically changing the combination of wrf model parameterization schemes based on surface air pressure distribution
  • A method for dynamically changing the combination of wrf model parameterization schemes based on surface air pressure distribution
  • A method for dynamically changing the combination of wrf model parameterization schemes based on surface air pressure distribution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Such as figure 1 As shown, this embodiment provides a method for dynamically changing the combination of WRF model parameterization schemes based on the surface air pressure distribution situation, the method includes the following steps,

[0045] S1. Construct a database with the corresponding relationship between the historical surface air pressure distribution situation and the optimal parameterization scheme combination;

[0046] S2. Query the historical surface air pressure distribution situation closest to the actual precipitation forecast surface air pressure distribution situation in the database, so as to obtain the optimal parameterized scheme combination corresponding to the historical surface air pressure distribution situation; use the optimal parameterized scheme combination Run the WRF model to carry out this actual precipitation forecast.

[0047] In this embodiment, before the step S1, it also includes setting the forecast period of the numerical preci...

Embodiment 2

[0073] In this embodiment, the Han River basin above the Danjiangkou Reservoir is selected as the research object, and the implementation process of the method is specifically described.

[0074] 1. Set the forecast period; set the forecast period as 1 day;

[0075] 2. Construct a database with the corresponding relationship between the surface air pressure distribution situation and the optimal parameterization scheme combination;

[0076] S11. Set the start time T start For 2001-1-1 8:00 and end time T end 2010-12-31 08:00, a total of 10 years;

[0077] S12. Determine a sample set of parameterized scheme combinations; mainly including microphysical parameterized schemes and cumulus convective parameterized schemes that have a greater impact on precipitation forecasting. set as shown in Table 1.

[0078] S13. Determine the WRF mode operation scheme; on the basis of determining the start time, end time, forecast period, and parameterized scheme combination sample set, adop...

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 method for dynamically changing the combination of WRF model parameterization schemes based on the surface air pressure distribution situation, including: S1, constructing a database with the corresponding relationship between the historical surface air pressure distribution situation and the optimal parameterization scheme combination; S2, in the The historical surface pressure distribution situation that is closest to the actual precipitation forecast surface pressure distribution situation is queried in the database to obtain the optimal parameterization scheme combination corresponding to the historical surface pressure distribution situation; use the optimal parameterization scheme combination to run the WRF model and carry out The actual precipitation forecast. The advantages are: using the principle of high correlation between the surface pressure distribution and the weather situation, the database of the surface weather situation and the optimal parameterization scheme is constructed, and the surface pressure distribution situation at the start time of the forecast is used as the basis for selecting the optimal parameterization scheme combination. Indirectly reflect the applicability of different parameterization scheme combinations to different weather situations, so the prediction accuracy is higher and more scientific than traditional methods.

Description

technical field [0001] The invention relates to the technical field of meteorological and hydrological forecasting, in particular to a method for dynamically changing the combination of WRF model parameterization schemes based on the surface air pressure distribution situation. Background technique [0002] Numerical weather prediction (numerical weather prediction) refers to solving the equations of fluid dynamics and thermodynamics describing the weather evolution process through large-scale computer numerical calculations under certain initial and boundary value conditions based on the actual conditions of the atmosphere, and predicting certain weather conditions in the future. The method of atmospheric motion state and weather phenomenon in time period. [0003] The WRF (Weather Research and Forecasting Model) model is a unified mesoscale weather forecast model jointly developed by the US Center for Environmental Prediction (NCEP), the US National Center for Atmospheric ...

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): G06F30/20G01W1/10
CPCG06F30/20G01W1/10G01W1/14G06Q10/04
Inventor 杨明祥王浩蒋云钟赵勇董宁澎
Owner CHINA INST OF WATER RESOURCES & HYDROPOWER RES
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products