Rigorous evaluation of global geopotential models for geoid modelling: A case study in Kenya

Developing a gravimetric geoid model requires gravity data covering the whole surface of the earth. In practice, terrestrial data within a spherical cap is used, causing a truncation error, which may be minimised if the terrestrial data is combined with a Global Geopotential Model (GGM). The choice...

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主要な著者: Nyoka, Chivatsi Jonathan, Md. Din, Ami Hassan, Pa'suya, Muhammad Faiz, Omar, Abdullah Hisam
フォーマット: 論文
言語:English
出版事項: Pergamon-Elsevier Science Ltd 2022
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オンライン・アクセス:http://eprints.utm.my/id/eprint/102840/1/ChivatsiJonathanNyoka2022_RigorousEvaluationofGlobalGeopotentialModels.pdf
http://eprints.utm.my/id/eprint/102840/
http://dx.doi.org/10.1016/j.jafrearsci.2022.104612
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spelling my.utm.1028402023-09-24T03:27:06Z http://eprints.utm.my/id/eprint/102840/ Rigorous evaluation of global geopotential models for geoid modelling: A case study in Kenya Nyoka, Chivatsi Jonathan Md. Din, Ami Hassan Pa'suya, Muhammad Faiz Omar, Abdullah Hisam G109.5 Global Positioning System Developing a gravimetric geoid model requires gravity data covering the whole surface of the earth. In practice, terrestrial data within a spherical cap is used, causing a truncation error, which may be minimised if the terrestrial data is combined with a Global Geopotential Model (GGM). The choice of a GGM that fits the observed terrestrial data best, determines the accuracy of a gravimetric geoid solution. In this study, the most recent and high-resolution GGMs are selected and compared, both geometrically and spectrally with a view to selecting an optimum GGM for future geoid modelling in Kenya. In the first step, thirty-one GGMs are evaluated using 55 GNSS-levelled points scattered over 4 regions and gravity data distributed over the entire territory of Kenya. In the second step, some of the best performing GGMs are further compared using the spectral information contained in their spherical harmonic coefficients. After removal of systematic errors, the EGM2008 model showed some advantage over other GGMs with a standard deviation of 40.89 cm. Other high-resolution geoid models perform well in terms of recovering geoid heights in Kenya with a standard deviation of <42 cm. In terms of residual gravity anomalies, the EIGEN-6C4 model showed the best fit with a standard deviation of 6.892 mGal. In the spectral analysis, the XGM2016 provided the best results among the models evaluated. Based on the overall performance in all areas of evaluation, the SGG-UGM-1 and SGG-UGM-2 were considered best for geoid modelling in Kenya. Pergamon-Elsevier Science Ltd 2022-10 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/102840/1/ChivatsiJonathanNyoka2022_RigorousEvaluationofGlobalGeopotentialModels.pdf Nyoka, Chivatsi Jonathan and Md. Din, Ami Hassan and Pa'suya, Muhammad Faiz and Omar, Abdullah Hisam (2022) Rigorous evaluation of global geopotential models for geoid modelling: A case study in Kenya. Journal of African Earth Sciences, 194 (104612). pp. 1-11. ISSN 1464-343X http://dx.doi.org/10.1016/j.jafrearsci.2022.104612 DOI: 10.1016/j.jafrearsci.2022.104612
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G109.5 Global Positioning System
spellingShingle G109.5 Global Positioning System
Nyoka, Chivatsi Jonathan
Md. Din, Ami Hassan
Pa'suya, Muhammad Faiz
Omar, Abdullah Hisam
Rigorous evaluation of global geopotential models for geoid modelling: A case study in Kenya
description Developing a gravimetric geoid model requires gravity data covering the whole surface of the earth. In practice, terrestrial data within a spherical cap is used, causing a truncation error, which may be minimised if the terrestrial data is combined with a Global Geopotential Model (GGM). The choice of a GGM that fits the observed terrestrial data best, determines the accuracy of a gravimetric geoid solution. In this study, the most recent and high-resolution GGMs are selected and compared, both geometrically and spectrally with a view to selecting an optimum GGM for future geoid modelling in Kenya. In the first step, thirty-one GGMs are evaluated using 55 GNSS-levelled points scattered over 4 regions and gravity data distributed over the entire territory of Kenya. In the second step, some of the best performing GGMs are further compared using the spectral information contained in their spherical harmonic coefficients. After removal of systematic errors, the EGM2008 model showed some advantage over other GGMs with a standard deviation of 40.89 cm. Other high-resolution geoid models perform well in terms of recovering geoid heights in Kenya with a standard deviation of <42 cm. In terms of residual gravity anomalies, the EIGEN-6C4 model showed the best fit with a standard deviation of 6.892 mGal. In the spectral analysis, the XGM2016 provided the best results among the models evaluated. Based on the overall performance in all areas of evaluation, the SGG-UGM-1 and SGG-UGM-2 were considered best for geoid modelling in Kenya.
format Article
author Nyoka, Chivatsi Jonathan
Md. Din, Ami Hassan
Pa'suya, Muhammad Faiz
Omar, Abdullah Hisam
author_facet Nyoka, Chivatsi Jonathan
Md. Din, Ami Hassan
Pa'suya, Muhammad Faiz
Omar, Abdullah Hisam
author_sort Nyoka, Chivatsi Jonathan
title Rigorous evaluation of global geopotential models for geoid modelling: A case study in Kenya
title_short Rigorous evaluation of global geopotential models for geoid modelling: A case study in Kenya
title_full Rigorous evaluation of global geopotential models for geoid modelling: A case study in Kenya
title_fullStr Rigorous evaluation of global geopotential models for geoid modelling: A case study in Kenya
title_full_unstemmed Rigorous evaluation of global geopotential models for geoid modelling: A case study in Kenya
title_sort rigorous evaluation of global geopotential models for geoid modelling: a case study in kenya
publisher Pergamon-Elsevier Science Ltd
publishDate 2022
url http://eprints.utm.my/id/eprint/102840/1/ChivatsiJonathanNyoka2022_RigorousEvaluationofGlobalGeopotentialModels.pdf
http://eprints.utm.my/id/eprint/102840/
http://dx.doi.org/10.1016/j.jafrearsci.2022.104612
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