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

Meteorological frontal surface automatic identification method based on multiple regression

A multiple regression equation and multiple regression technology, applied in meteorology, neural learning methods, weather condition prediction, etc., can solve problems such as low accuracy

Active Publication Date: 2020-07-14
NAT UNIV OF DEFENSE TECH
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Purpose of the invention: the technical problem that the present invention asks to be solved is a kind of meteorological front automatic identification method based on multiple regression proposed for the low accuracy problem of the existing single diagnostic quantity to carry out the front automatic identification method, thereby realizes the atmospheric front The automatic identification, specifically includes the following steps:

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
  • Meteorological frontal surface automatic identification method based on multiple regression
  • Meteorological frontal surface automatic identification method based on multiple regression
  • Meteorological frontal surface automatic identification method based on multiple regression

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0073] Such as figure 1 As shown, the present invention discloses a method for automatic identification of weather fronts based on multiple regression, comprising the following steps:

[0074] Step 1, using statistical methods to determine the constant temperate zone: determine whether it is a constant temperate zone by counting the frequency of large temperature gradients at each grid point;

[0075] Step 2, remove the grid points of the constant temperate zone in each meteorological element data set: the constant temperate zone is an area where the temperature changes greatly throughout the year, such as the junction of sea and land, and the junction of mountains and plains. The constant temperate zone is easy to cause fronts For this reason, the grid points of the constant temperate zone must be removed when the front is automatically identified. The method is to first set the values ​​of these grid points of the constant temperate zone to 0 according to the grid points of ...

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 provides a meteorological frontal surface automatic identification method based on multiple regression. The method comprises: determining a constant temperature zone; removing the constant temperature zone; after a constant temperature zone is removed from the meteorological element data set, calculating each diagnosis quantity, and generating a training sample set; by utilizing a multiple regression neural network (MRNN) model and the training sample set, training a multiple regression equation coefficient (the weight of each diagnosis quantity during frontal surface recognition); and substituting the meteorological element data set and the multiple regression model coefficient obtained by training into a multiple regression model, and automatically identifying the atmospheric frontal surface probability of each grid point on line.

Description

technical field [0001] The invention belongs to the technical field of surface meteorological observation in atmospheric detection, and in particular relates to an automatic recognition method of a meteorological front based on multiple regression. Background technique [0002] Atmospheric science defines a narrow sloping band with significant changes in thermodynamic and wind fields as a front. A more specific understanding is a colder sloping boundary or transition zone formed when two air masses with different cold and warm properties meet in the airflow confluence area. In the transition zone, the intersection line between the front and the ground is called the front, or "front" for short. The front is an irregular inclined surface, with warm air masses above it and cold air masses below. Since the cold air is heavier than the warm air, the area where they meet is a sloping one. [0003] Due to the strong baroclinicity of the atmosphere near the front, which is conduciv...

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 Applications(China)
IPC IPC(8): G06N3/04G06N3/08G06F17/11G06F17/18G01W1/10
CPCG06N3/08G06F17/11G06F17/18G01W1/10G06N3/045Y02A90/10
Inventor 李骞丁新亚
Owner NAT UNIV OF DEFENSE TECH
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com