An empirical zenith wet delay correction model using piecewise height functions

<p>Tropospheric delay is an important error source in space geodetic techniques. The temporal and spatial variations of the zenith wet delay (ZWD) are very large and thus limit the accuracy of tropospheric delay modelling. Thus, it is worthwhile undertaking research aimed at constructing a...

Full description

Bibliographic Details
Main Authors: Y. Yao, Y. Hu
Format: Article
Language:English
Published: Copernicus Publications 2018-11-01
Series:Annales Geophysicae
Online Access:https://www.ann-geophys.net/36/1507/2018/angeo-36-1507-2018.pdf
_version_ 1818650289999183872
author Y. Yao
Y. Yao
Y. Yao
Y. Hu
Y. Hu
author_facet Y. Yao
Y. Yao
Y. Yao
Y. Hu
Y. Hu
author_sort Y. Yao
collection DOAJ
description <p>Tropospheric delay is an important error source in space geodetic techniques. The temporal and spatial variations of the zenith wet delay (ZWD) are very large and thus limit the accuracy of tropospheric delay modelling. Thus, it is worthwhile undertaking research aimed at constructing a precise ZWD model. Based on the analysis of vertical variations of ZWD, we divided the troposphere into three height intervals (below 2&thinsp;km, 2 to 5&thinsp;km, and 5 to 10&thinsp;km) and determined the fitting functions for the ZWD within these height intervals. The global empirical ZWD model HZWD, which considers the periodic variations of ZWD with a spatial resolution of 5° × 5°, is established using the ECMWF ZWD profiles from 2001 to 2010. Validated by the ECMWF ZWD data in 2015, the precision of the ZWD estimation in the HZWD model over the three height intervals are improved by 1.4, 0.9, and 1.2&thinsp;mm, respectively, compared to that of the currently best GPT2w model (23.8, 13.1, and 2.6&thinsp;mm). The test results from ZWD data from 318 radiosonde stations show that the root mean square error (RMSE) in the HZWD model over the three height intervals was reduced by 2&thinsp;% (0.6&thinsp;mm), 5&thinsp;% (0.9&thinsp;mm), and 33&thinsp;% (1.7&thinsp;mm), respectively, compared to the GPT2w model (30.1, 15.8, and 3.5&thinsp;mm) over the three height intervals. In addition, the spatial and temporal stabilities of the HZWD model are higher than those of GPT2w and UNB3m.</p>
first_indexed 2024-12-17T01:47:52Z
format Article
id doaj.art-f807b2241048463e8e812b09bc98c622
institution Directory Open Access Journal
issn 0992-7689
1432-0576
language English
last_indexed 2024-12-17T01:47:52Z
publishDate 2018-11-01
publisher Copernicus Publications
record_format Article
series Annales Geophysicae
spelling doaj.art-f807b2241048463e8e812b09bc98c6222022-12-21T22:08:08ZengCopernicus PublicationsAnnales Geophysicae0992-76891432-05762018-11-01361507151910.5194/angeo-36-1507-2018An empirical zenith wet delay correction model using piecewise height functionsY. Yao0Y. Yao1Y. Yao2Y. Hu3Y. Hu4School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaKey Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaCollaborative Innovation Center for Geospatial Technology, 129 Luoyu Road, Wuhan 430079, ChinaSchool of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaCollege of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, Shanxi, China<p>Tropospheric delay is an important error source in space geodetic techniques. The temporal and spatial variations of the zenith wet delay (ZWD) are very large and thus limit the accuracy of tropospheric delay modelling. Thus, it is worthwhile undertaking research aimed at constructing a precise ZWD model. Based on the analysis of vertical variations of ZWD, we divided the troposphere into three height intervals (below 2&thinsp;km, 2 to 5&thinsp;km, and 5 to 10&thinsp;km) and determined the fitting functions for the ZWD within these height intervals. The global empirical ZWD model HZWD, which considers the periodic variations of ZWD with a spatial resolution of 5° × 5°, is established using the ECMWF ZWD profiles from 2001 to 2010. Validated by the ECMWF ZWD data in 2015, the precision of the ZWD estimation in the HZWD model over the three height intervals are improved by 1.4, 0.9, and 1.2&thinsp;mm, respectively, compared to that of the currently best GPT2w model (23.8, 13.1, and 2.6&thinsp;mm). The test results from ZWD data from 318 radiosonde stations show that the root mean square error (RMSE) in the HZWD model over the three height intervals was reduced by 2&thinsp;% (0.6&thinsp;mm), 5&thinsp;% (0.9&thinsp;mm), and 33&thinsp;% (1.7&thinsp;mm), respectively, compared to the GPT2w model (30.1, 15.8, and 3.5&thinsp;mm) over the three height intervals. In addition, the spatial and temporal stabilities of the HZWD model are higher than those of GPT2w and UNB3m.</p>https://www.ann-geophys.net/36/1507/2018/angeo-36-1507-2018.pdf
spellingShingle Y. Yao
Y. Yao
Y. Yao
Y. Hu
Y. Hu
An empirical zenith wet delay correction model using piecewise height functions
Annales Geophysicae
title An empirical zenith wet delay correction model using piecewise height functions
title_full An empirical zenith wet delay correction model using piecewise height functions
title_fullStr An empirical zenith wet delay correction model using piecewise height functions
title_full_unstemmed An empirical zenith wet delay correction model using piecewise height functions
title_short An empirical zenith wet delay correction model using piecewise height functions
title_sort empirical zenith wet delay correction model using piecewise height functions
url https://www.ann-geophys.net/36/1507/2018/angeo-36-1507-2018.pdf
work_keys_str_mv AT yyao anempiricalzenithwetdelaycorrectionmodelusingpiecewiseheightfunctions
AT yyao anempiricalzenithwetdelaycorrectionmodelusingpiecewiseheightfunctions
AT yyao anempiricalzenithwetdelaycorrectionmodelusingpiecewiseheightfunctions
AT yhu anempiricalzenithwetdelaycorrectionmodelusingpiecewiseheightfunctions
AT yhu anempiricalzenithwetdelaycorrectionmodelusingpiecewiseheightfunctions
AT yyao empiricalzenithwetdelaycorrectionmodelusingpiecewiseheightfunctions
AT yyao empiricalzenithwetdelaycorrectionmodelusingpiecewiseheightfunctions
AT yyao empiricalzenithwetdelaycorrectionmodelusingpiecewiseheightfunctions
AT yhu empiricalzenithwetdelaycorrectionmodelusingpiecewiseheightfunctions
AT yhu empiricalzenithwetdelaycorrectionmodelusingpiecewiseheightfunctions