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
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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:

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  • 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

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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 ...

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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...

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Application Information

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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
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