Using models of the ocean's mean dynamic topography to identify errors in coastal geodetic levelling
Identifying errors (blunders and systematic errors) in coastal geodetic levelling networks has often been problematic. This is because (1) mean sea level (MSL) at tide gauges cannot be directly compared to height differences from levelling because the geoid/quasigeoid and MSL are not parallel, being...
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| Format: | Journal Article |
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Taylor and Francis
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/6117 |
| _version_ | 1848744984390402048 |
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| author | Filmer, Michael |
| author_facet | Filmer, Michael |
| author_sort | Filmer, Michael |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Identifying errors (blunders and systematic errors) in coastal geodetic levelling networks has often been problematic. This is because (1) mean sea level (MSL) at tide gauges cannot be directly compared to height differences from levelling because the geoid/quasigeoid and MSL are not parallel, being separated by the ocean’s mean dynamic topography (MDT) and (2) the lack of redundancy at the edge of the levelling network. This paper sets out a methodology to independently identify blunders and/or systematic errors (over long distances) in geodetic levelling using MDT models to account for the separation between the geoid/quasigeoid and MSL at tide gauges. This method is then tested in a case study using an oceanographic MDT model, MSL observations, GNSS data and a quasigeoid model. The results are significant because the errors found could not be detected by standard levelling misclosure checks alone, with supplementary data from an MDT model, with cross-validation from GNSS-quasigeoid allowing their detection. In addition, it appears that an oceanographic-only MDT is as effective as GNSS and a quasigeoid model for detecting levelling errors, which could be particularly useful for countries with coastal levelling errors in their levelling networks that cannot be identified by conventional levelling closure checks. |
| first_indexed | 2025-11-14T06:10:09Z |
| format | Journal Article |
| id | curtin-20.500.11937-6117 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:10:09Z |
| publishDate | 2014 |
| publisher | Taylor and Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-61172017-09-13T14:42:52Z Using models of the ocean's mean dynamic topography to identify errors in coastal geodetic levelling Filmer, Michael coastal mean dynamic topography CARS2009 mean sea level geodetic levelling Australia geoid Identifying errors (blunders and systematic errors) in coastal geodetic levelling networks has often been problematic. This is because (1) mean sea level (MSL) at tide gauges cannot be directly compared to height differences from levelling because the geoid/quasigeoid and MSL are not parallel, being separated by the ocean’s mean dynamic topography (MDT) and (2) the lack of redundancy at the edge of the levelling network. This paper sets out a methodology to independently identify blunders and/or systematic errors (over long distances) in geodetic levelling using MDT models to account for the separation between the geoid/quasigeoid and MSL at tide gauges. This method is then tested in a case study using an oceanographic MDT model, MSL observations, GNSS data and a quasigeoid model. The results are significant because the errors found could not be detected by standard levelling misclosure checks alone, with supplementary data from an MDT model, with cross-validation from GNSS-quasigeoid allowing their detection. In addition, it appears that an oceanographic-only MDT is as effective as GNSS and a quasigeoid model for detecting levelling errors, which could be particularly useful for countries with coastal levelling errors in their levelling networks that cannot be identified by conventional levelling closure checks. 2014 Journal Article http://hdl.handle.net/20.500.11937/6117 10.1080/01490419.2013.868383 Taylor and Francis fulltext |
| spellingShingle | coastal mean dynamic topography CARS2009 mean sea level geodetic levelling Australia geoid Filmer, Michael Using models of the ocean's mean dynamic topography to identify errors in coastal geodetic levelling |
| title | Using models of the ocean's mean dynamic topography to identify errors in coastal geodetic levelling |
| title_full | Using models of the ocean's mean dynamic topography to identify errors in coastal geodetic levelling |
| title_fullStr | Using models of the ocean's mean dynamic topography to identify errors in coastal geodetic levelling |
| title_full_unstemmed | Using models of the ocean's mean dynamic topography to identify errors in coastal geodetic levelling |
| title_short | Using models of the ocean's mean dynamic topography to identify errors in coastal geodetic levelling |
| title_sort | using models of the ocean's mean dynamic topography to identify errors in coastal geodetic levelling |
| topic | coastal mean dynamic topography CARS2009 mean sea level geodetic levelling Australia geoid |
| url | http://hdl.handle.net/20.500.11937/6117 |