Check patentability & draft patents in minutes with Patsnap Eureka AI!

Atmospheric temperature profile prediction method

A technology of atmospheric temperature and prediction method, which is applied in the direction of prediction, thermometer, application of thermometer, etc., and can solve the problem of low prediction accuracy

Active Publication Date: 2022-03-08
XIDIAN UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for predicting atmospheric temperature profiles to solve the problem of low prediction accuracy of existing atmospheric temperature prediction methods when dealing with stratospheric data with weak linear correlations

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
  • Atmospheric temperature profile prediction method
  • Atmospheric temperature profile prediction method
  • Atmospheric temperature profile prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] The present invention provides a method for predicting atmospheric temperature profile, referring to figure 1 As shown, the atmospheric temperature profile prediction method includes:

[0031] S1: Obtain multiple measurement altitude layers;

[0032] Specifically, refer to figure 2 As shown, the step S1 includes:

[0033] S11: Obtain the atmospheric temperature data of the target measurement point;

[0034] S12: Numbering the atmospheric temperature data of the target measurement point to obtain a plurality of measurement altitude layers.

[0035] S2: Acquiring the measurement data of each of the plurality of measurement height layers respectively;

[0036] S3: Input the measurement data of each layer into the SARIMA model respectively, and obtain the prediction data of each layer corresponding to the measurement data of each layer;

[0037] Among them, the specific structure of the SARIMA model is:

[0038]

[0039] Among them, φ( ) and Φ( ) represent autoreg...

Embodiment 2

[0046] The data used in the experiment is the spatial distribution data of atmospheric temperature detected by a group of satellites. The atmospheric temperature data has a three-dimensional spatial distribution structure, such as image 3 As shown, a total of 96 altitude layers of atmospheric temperature data have been recorded in space. The atmospheric temperature data is a set of satellite measurement data for Maoming City, Guangzhou Province, China.

[0047] Atmospheric temperature data at each spatial measurement point can be analyzed from two perspectives of time and space. In terms of time, if Figure 4 As shown, the atmospheric temperature data consists of a set of time series data, and the observation time lasts from 2011 to 2014. Among them, the data is recorded on the 1st of each month, and a total of 48 observation data at each space point are recorded. With the change of time, the atmospheric temperature has an obvious seasonal variation trend, in which the atm...

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 an atmospheric temperature profile prediction method. The prediction method comprises the following steps: S1, acquiring a plurality of measurement height layers; s2, respectively acquiring measurement data of each layer in the plurality of height measurement layers; s3, inputting the measurement data of each layer into an SARIMA model to obtain prediction data of each layer corresponding to the measurement data of each layer; s4, obtaining an atmosphere profile according to all the prediction data; and S5, inputting the atmospheric profile into a noise reduction auto-encoder to obtain a predicted atmospheric temperature profile.

Description

technical field [0001] The invention relates to the technical field of atmospheric temperature prediction, in particular to an atmospheric temperature profile prediction method. Background technique [0002] Atmospheric profile data is not only directly used in weather forecasting, climate change monitoring, etc., but also widely used in quantitative remote sensing and optical engineering, because the atmospheric profile fundamentally determines the optical properties of the atmosphere and can be used to predict the atmospheric transmittance and atmospheric background radiation. The spatial distribution structure of large atmospheric parameters is complex, and can be divided into troposphere, stratosphere, mesosphere, thermosphere and exosphere from near ground to space according to different parameter characteristics. [0003] The prediction model of atmospheric temperature spatial distribution data can be regarded as the prediction model of time series. Although there ha...

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): G06F30/20G06F119/08G06F119/10
CPCG01K13/028G06Q10/04Y02A90/10
Inventor 郭兴吴家骥曹运华朱松龄
Owner XIDIAN UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More