Comparison of Remove-Compute-Restore and University of New Brunswick Techniques to Geoid Determination over Australia, and Inclusion of Wiener-Type Filters in Reference Field Contribution
The commonly adopted remove-compute-restore (RCR) technique for regional gravimetric geoid determination uses the maximum degree of a combined global geopotential model and regional gravity data via the spherical Stokes integral. The University of New Brunswick's (UNB) technique involves the us...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Published: |
ASCE
2004
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/32343 |
| _version_ | 1848753636312612864 |
|---|---|
| author | Featherstone, Will Holmes, S. Kirby, Jon Kuhn, Michael |
| author_facet | Featherstone, Will Holmes, S. Kirby, Jon Kuhn, Michael |
| author_sort | Featherstone, Will |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The commonly adopted remove-compute-restore (RCR) technique for regional gravimetric geoid determination uses the maximum degree of a combined global geopotential model and regional gravity data via the spherical Stokes integral. The University of New Brunswick's (UNB) technique involves the use of a deterministically modified integration kernel, a degree-20 satellite-only reference field, integration of high-frequency terrestrial gravity anomalies over a spherical cap of 6 radius about each computation point, and a separate computation of the truncation bias used Degrees 21 120 of a combined global geopotential model. Both approaches are tested over Australia and the resulting geoid models compared with a nationwide dataset of 1,013 Global Positioning System (GPS)-leveled points, and with the most recent Australian geoid model, AUSGeoid98. A subsequent experiment considers the commission errors in the reference field used by applying a Wiener-type filter based on the global degree- and error-degree variances of the EGM96 combined and EGM96S satellite-only global geopotential models. The theoretical basis of this adapted approach will be presented, together with comparisons of the resulting geoid solution with the 1,013 GPS-leveling data, UNB, RCR, and AUSGeoid98 solutions. |
| first_indexed | 2025-11-14T08:27:40Z |
| format | Journal Article |
| id | curtin-20.500.11937-32343 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:27:40Z |
| publishDate | 2004 |
| publisher | ASCE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-323432017-09-13T15:51:38Z Comparison of Remove-Compute-Restore and University of New Brunswick Techniques to Geoid Determination over Australia, and Inclusion of Wiener-Type Filters in Reference Field Contribution Featherstone, Will Holmes, S. Kirby, Jon Kuhn, Michael Filters Surveys Geoid Data analysis Models The commonly adopted remove-compute-restore (RCR) technique for regional gravimetric geoid determination uses the maximum degree of a combined global geopotential model and regional gravity data via the spherical Stokes integral. The University of New Brunswick's (UNB) technique involves the use of a deterministically modified integration kernel, a degree-20 satellite-only reference field, integration of high-frequency terrestrial gravity anomalies over a spherical cap of 6 radius about each computation point, and a separate computation of the truncation bias used Degrees 21 120 of a combined global geopotential model. Both approaches are tested over Australia and the resulting geoid models compared with a nationwide dataset of 1,013 Global Positioning System (GPS)-leveled points, and with the most recent Australian geoid model, AUSGeoid98. A subsequent experiment considers the commission errors in the reference field used by applying a Wiener-type filter based on the global degree- and error-degree variances of the EGM96 combined and EGM96S satellite-only global geopotential models. The theoretical basis of this adapted approach will be presented, together with comparisons of the resulting geoid solution with the 1,013 GPS-leveling data, UNB, RCR, and AUSGeoid98 solutions. 2004 Journal Article http://hdl.handle.net/20.500.11937/32343 10.1061/(ASCE)0733-9453(2004)130:1(40) ASCE restricted |
| spellingShingle | Filters Surveys Geoid Data analysis Models Featherstone, Will Holmes, S. Kirby, Jon Kuhn, Michael Comparison of Remove-Compute-Restore and University of New Brunswick Techniques to Geoid Determination over Australia, and Inclusion of Wiener-Type Filters in Reference Field Contribution |
| title | Comparison of Remove-Compute-Restore and University of New Brunswick Techniques to Geoid Determination over Australia, and Inclusion of Wiener-Type Filters in Reference Field Contribution |
| title_full | Comparison of Remove-Compute-Restore and University of New Brunswick Techniques to Geoid Determination over Australia, and Inclusion of Wiener-Type Filters in Reference Field Contribution |
| title_fullStr | Comparison of Remove-Compute-Restore and University of New Brunswick Techniques to Geoid Determination over Australia, and Inclusion of Wiener-Type Filters in Reference Field Contribution |
| title_full_unstemmed | Comparison of Remove-Compute-Restore and University of New Brunswick Techniques to Geoid Determination over Australia, and Inclusion of Wiener-Type Filters in Reference Field Contribution |
| title_short | Comparison of Remove-Compute-Restore and University of New Brunswick Techniques to Geoid Determination over Australia, and Inclusion of Wiener-Type Filters in Reference Field Contribution |
| title_sort | comparison of remove-compute-restore and university of new brunswick techniques to geoid determination over australia, and inclusion of wiener-type filters in reference field contribution |
| topic | Filters Surveys Geoid Data analysis Models |
| url | http://hdl.handle.net/20.500.11937/32343 |