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作者:

Yang, Fei (Yang, Fei.) | Guo, Jiming (Guo, Jiming.) | Meng, Xiaolin (Meng, Xiaolin.) | Li, Jun (Li, Jun.) | Li, Zhicai (Li, Zhicai.) | Tang, Wei (Tang, Wei.)

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EI Scopus SCIE

摘要:

With the development of Global Navigation Satellite System (GNSS), the detection of precipitable water vapor (PWV) using the GNSS atmospheric sounding technique becomes a research interest in GNSS meteorology. In the conversion of zenith tropospheric delay (ZTD) to PWV, the weighted mean temperature (Tm) plays a crucial role. Generally, the Tm estimated by the linear regression models based on surface temperature (Ts) cannot meet the requirement for global use, and the accuracy of Tm derived from the empirical models is limited. In this study, a new Tm model, named GGTm-Ts model, was developed using the global geodetic observing system (GGOS) atmosphere Tm data and European Centre for Medium-Range Weather Forecasts (ECMWF) data from 2011 to 2015. Resting upon a global 2.5 degrees*2 degrees grid of coefficients of Tm-Ts linear function, the new model can provide Tm at any site in two modes, one for the case with measured Ts provided, i.e., the accurate mode, the other for the case that Ts provided by a subroutine, i.e., the normal mode. The per-formance of GGTm-Ts model was assessed against the Bevis formula, GPT2w and GPT2wh model using different data sources in 2016 -the GGOS atmosphere and radiosonde data. The results show that the GGTm-Ts model in accurate mode achieves best performance with an improvement of 46.9 %/15.3 %, 37.8 %/19.5 % and 34.4 %/14.2 % over other three models in the GGOS atmosphere/radiosonde comparison. For the normal mode, the GGTm-Ts model outperforms the GPT2w model and achieves equivalence results with the GPT2wh model. Moreover, the impact of Tm on GNSS-PWV was analyzed to validate the performance of the GGTm-Ts model. (c) 2022 COSPAR. Published by Elsevier B.V. All rights reserved.

关键词:

Radiosonde Surface temperature Weighted mean temperature GNSS meteorology

作者机构:

  • [ 1 ] [Yang, Fei]China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China
  • [ 2 ] [Li, Jun]China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China
  • [ 3 ] [Li, Zhicai]China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China
  • [ 4 ] [Tang, Wei]China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China
  • [ 5 ] [Guo, Jiming]Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan 430079, Peoples R China
  • [ 6 ] [Meng, Xiaolin]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 7 ] [Yang, Fei]Beijing Key Lab Urban Spatial Informat Engn, Beijing 100045, Peoples R China
  • [ 8 ] [Yang, Fei]Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, State Key Lab Geodesy & Earths Dynam, Wuhan 430077, Peoples R China

通讯作者信息:

  • [Yang, Fei]China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China;;[Yang, Fei]Beijing Key Lab Urban Spatial Informat Engn, Beijing 100045, Peoples R China;;[Yang, Fei]Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, State Key Lab Geodesy & Earths Dynam, Wuhan 430077, Peoples R China;;

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来源 :

ADVANCES IN SPACE RESEARCH

ISSN: 0273-1177

年份: 2023

期: 3

卷: 71

页码: 1510-1524

2 . 6 0 0

JCR@2022

ESI学科: SPACE SCIENCE;

ESI高被引阀值:26

被引次数:

WoS核心集被引频次: 9

SCOPUS被引频次: 8

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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