Developments of empirical models for vertical adjustment of precipitable water vapor measured by GNSS

IF 2.8 3区 地球科学 Q2 ASTRONOMY & ASTROPHYSICS
Maohua Ding , Jiating Ding , Zhuoyue Peng , Mingkun Su , Tao Sun
{"title":"Developments of empirical models for vertical adjustment of precipitable water vapor measured by GNSS","authors":"Maohua Ding ,&nbsp;Jiating Ding ,&nbsp;Zhuoyue Peng ,&nbsp;Mingkun Su ,&nbsp;Tao Sun","doi":"10.1016/j.asr.2024.08.039","DOIUrl":null,"url":null,"abstract":"<div><div>In some applications of Precipitable Water Vapor (PWV) measured by Global Navigation Satellite System (GNSS), we have to consider PWV vertical adjustments (PWVVAs) due to the height differences between the target sites and the GNSS sites. Thus, developments of global empirical models for PWVVAs deserve our attention. In this study, we found that the decrease factor of water vapor (<em>λ</em>) can be also used as the decrease factor of PWV when we use the Smith’s vertical variations of water vapor. Based on this conclusion, PWVVAs can be carried out by using the empirical values of <em>λ</em> and atmospheric total pressure (or zenith hydrostatic delay). Thus, we gave two empirical models for PWVVAs (i.e. PWVVA-Ⅰ and PWVVA-Ⅱ). On the other hand, another aim of this research is to develop an empirical model of PWVVA using neural network (i.e. PWVVANN). Measured PWV of one site, the heights of this site and the target site, and empirical values of <em>λ</em> and zenith hydrostatic delay were considered as the input parameters of the PWVVANN model. The output is the PWV at the target height. Global statistical results verify<!--> <!-->that the PWVVANN model has a accuracy of 1.08 mm and its accuracy has increased by respective 30.7 %, 24.4 % and 23.6 % when compared with PWVVA-Ⅰ, PWVVA-Ⅱ and a state of the art model (i.e. the GPWV-H model).</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 3","pages":"Pages 2473-2483"},"PeriodicalIF":2.8000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Space Research","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0273117724008585","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

In some applications of Precipitable Water Vapor (PWV) measured by Global Navigation Satellite System (GNSS), we have to consider PWV vertical adjustments (PWVVAs) due to the height differences between the target sites and the GNSS sites. Thus, developments of global empirical models for PWVVAs deserve our attention. In this study, we found that the decrease factor of water vapor (λ) can be also used as the decrease factor of PWV when we use the Smith’s vertical variations of water vapor. Based on this conclusion, PWVVAs can be carried out by using the empirical values of λ and atmospheric total pressure (or zenith hydrostatic delay). Thus, we gave two empirical models for PWVVAs (i.e. PWVVA-Ⅰ and PWVVA-Ⅱ). On the other hand, another aim of this research is to develop an empirical model of PWVVA using neural network (i.e. PWVVANN). Measured PWV of one site, the heights of this site and the target site, and empirical values of λ and zenith hydrostatic delay were considered as the input parameters of the PWVVANN model. The output is the PWV at the target height. Global statistical results verify that the PWVVANN model has a accuracy of 1.08 mm and its accuracy has increased by respective 30.7 %, 24.4 % and 23.6 % when compared with PWVVA-Ⅰ, PWVVA-Ⅱ and a state of the art model (i.e. the GPWV-H model).
开发全球导航卫星系统测量的可降水水汽垂直调整经验模型
在全球导航卫星系统(GNSS)测量可降水水汽(PWV)的某些应用中,我们必须考虑由于目标站点和 GNSS 站点之间的高度差异造成的可降水水汽垂直调整(PWVVAs)。因此,针对 PWVVA 的全球经验模型的开发值得我们关注。在这项研究中,我们发现,当我们使用史密斯水汽垂直变化时,水汽下降因子()也可以用作脉宽调制的下降因子。根据这一结论,可以利用和大气总压(或天顶静水延迟)的经验值来进行 PWVVA。因此,我们给出了 PWVVA 的两个经验模型(即 PWVVA-Ⅰ 和 PWVVA-Ⅱ)。另一方面,本研究的另一个目的是利用神经网络建立 PWVVA 的经验模型(即 PWVVANN)。PWVVANN 模型的输入参数包括一个站点的实测 PWV、该站点和目标站点的高度以及天顶静水延迟的经验值。输出为目标高度的 PWV。全局统计结果证实,PWVVANN 模型的精度为 1.08 毫米,与 PWVVA-Ⅰ、PWVVA-Ⅱ 和最先进的模型(即 GPWV-H 模型)相比,精度分别提高了 30.7%、24.4% 和 23.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Advances in Space Research
Advances in Space Research 地学天文-地球科学综合
CiteScore
5.20
自引率
11.50%
发文量
800
审稿时长
5.8 months
期刊介绍: The COSPAR publication Advances in Space Research (ASR) is an open journal covering all areas of space research including: space studies of the Earth''s surface, meteorology, climate, the Earth-Moon system, planets and small bodies of the solar system, upper atmospheres, ionospheres and magnetospheres of the Earth and planets including reference atmospheres, space plasmas in the solar system, astrophysics from space, materials sciences in space, fundamental physics in space, space debris, space weather, Earth observations of space phenomena, etc. NB: Please note that manuscripts related to life sciences as related to space are no more accepted for submission to Advances in Space Research. Such manuscripts should now be submitted to the new COSPAR Journal Life Sciences in Space Research (LSSR). All submissions are reviewed by two scientists in the field. COSPAR is an interdisciplinary scientific organization concerned with the progress of space research on an international scale. Operating under the rules of ICSU, COSPAR ignores political considerations and considers all questions solely from the scientific viewpoint.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信