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Improvement method of Bevis model for regional weighted average temperature based on sounding data

A weighted average and model technology, applied in the field of global navigation systems, can solve the problem of low calculation accuracy of the Bevis model and achieve the effect of improving calculation accuracy

Active Publication Date: 2018-10-19
SOUTHEAST UNIV
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Problems solved by technology

[0003] However, the calculation accuracy of the Bevis model in the prior art is still low

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  • Improvement method of Bevis model for regional weighted average temperature based on sounding data
  • Improvement method of Bevis model for regional weighted average temperature based on sounding data
  • Improvement method of Bevis model for regional weighted average temperature based on sounding data

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Embodiment Construction

[0021] The technical solution of the present invention will be further introduced below in combination with specific implementation methods and accompanying drawings.

[0022] This specific embodiment discloses a Bevis model improvement method based on the regional weighted average temperature of sounding data, comprising the following steps:

[0023] S1: Preprocess the sounding data of the station to obtain the true value T of the weighted average temperature m0 and the true value T of the surface temperature s0 .

[0024] This specific implementation mode adopts the radiosonde data of 76 stations in China from 2013 to 2015, figure 2 It is the distribution map of each station in China. Taking station 57494 as an example, the sounding data provide the atmospheric characteristic layer and wind layer data of different isobaric surface layers, such as figure 1 shown. Atmospheric characteristic layer parameters include geopotential height (HGHT), air temperature (TEMP), dew ...

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Abstract

The invention discloses an improvement method of a Bevis model for regional weighted average temperature based on sounding data. The method includes the following steps: S1, preprocessing the soundingdata of a station to obtain a true value T<m0> of the weighted average temperature and a true value T<s0> of ground surface temperature; S2, using the Bevis model to obtain a calculating value T<m> of the weighted average temperature; S3, adding a periodic term based on the Bevis model by taking annual periodic variations of the calculating value T<m> of the weighted average temperature into consideration, and establishing a nonlinear equation; and S4, determining coefficients of the nonlinear equation by using a least square method, determining a final improvement model equation, and verifying the accuracy of the final improvement model equation. Compared with a conventional Bevis model, the calculating accuracy of the Bevis model of the invention is effectively improved.

Description

technical field [0001] The invention relates to the field of global navigation systems, in particular to a method for improving the Bevis model of regional weighted average temperature based on sounding data. Background technique [0002] As an effective supplement to the traditional method of detecting atmospheric precipitable water volume (PWV), ground-based GNSS technology has many advantages such as all-weather, high precision, near real-time, high temporal and spatial resolution, and does not require instrument calibration. The use of GNSS technology to detect atmospheric water vapor depends on the precise conversion of tropospheric wet delay (ZWD) to PWV. Currently, the commonly used method is to use T m Calculate the conversion parameters from ZWD to PWV, and obtain the atmospheric precipitable water through the ZWD retrieved by GNSS, so how to obtain high-precision T m , is one of the core issues of GNSS meteorology. The temperature, air pressure, and water vapor p...

Claims

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Application Information

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IPC IPC(8): G01K3/06G01K13/00G01W1/00G01W1/08
CPCG01K3/06G01K13/00G01W1/00G01W1/08
Inventor 胡伍生朱明晨董彦锋杨惠王来顺
Owner SOUTHEAST UNIV
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