Unification of New Zealand's local vertical datums: iterative gravimetric quasigeoid computations

New Zealand uses 13 separate local vertical datums (LVDs) based on normal-orthometric-corrected precise geodetic levelling from 12 different tide-gauges. We describe their unification using a regional gravimetric quasigeoid model and GPS-levelling data on each LVD. A novel application of iterative...

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Main Authors: Featherstone, Will, Amos, Matthew
Format: Journal Article
Published: Springer - Verlag 2009
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/33690
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author Featherstone, Will
Amos, Matthew
author_facet Featherstone, Will
Amos, Matthew
author_sort Featherstone, Will
building Curtin Institutional Repository
collection Online Access
description New Zealand uses 13 separate local vertical datums (LVDs) based on normal-orthometric-corrected precise geodetic levelling from 12 different tide-gauges. We describe their unification using a regional gravimetric quasigeoid model and GPS-levelling data on each LVD. A novel application of iterative quasigeoid computation is used, where the LVD offsets computed from earlier models are used to apply additional gravity reductions from each LVD to that model. The solution converges after only three iterations yielding LVD offsets ranging from 0.24 m to 0.58 m with an average standard deviation of 0.08 m. The so-computed LVD offsets agree, within expected data errors, with geodetically levelled height differences at common benchmarks between adjacent LVDs. This shows that iterated quasigeoid models do have a role in vertical datum unification.
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spelling curtin-20.500.11937-336902017-09-13T16:07:59Z Unification of New Zealand's local vertical datums: iterative gravimetric quasigeoid computations Featherstone, Will Amos, Matthew Vertical datum unification iterative quasigeoid computation geodetic levelling New Zealand uses 13 separate local vertical datums (LVDs) based on normal-orthometric-corrected precise geodetic levelling from 12 different tide-gauges. We describe their unification using a regional gravimetric quasigeoid model and GPS-levelling data on each LVD. A novel application of iterative quasigeoid computation is used, where the LVD offsets computed from earlier models are used to apply additional gravity reductions from each LVD to that model. The solution converges after only three iterations yielding LVD offsets ranging from 0.24 m to 0.58 m with an average standard deviation of 0.08 m. The so-computed LVD offsets agree, within expected data errors, with geodetically levelled height differences at common benchmarks between adjacent LVDs. This shows that iterated quasigeoid models do have a role in vertical datum unification. 2009 Journal Article http://hdl.handle.net/20.500.11937/33690 10.1007/s00190-008-0232-y Springer - Verlag fulltext
spellingShingle Vertical datum unification
iterative quasigeoid computation
geodetic levelling
Featherstone, Will
Amos, Matthew
Unification of New Zealand's local vertical datums: iterative gravimetric quasigeoid computations
title Unification of New Zealand's local vertical datums: iterative gravimetric quasigeoid computations
title_full Unification of New Zealand's local vertical datums: iterative gravimetric quasigeoid computations
title_fullStr Unification of New Zealand's local vertical datums: iterative gravimetric quasigeoid computations
title_full_unstemmed Unification of New Zealand's local vertical datums: iterative gravimetric quasigeoid computations
title_short Unification of New Zealand's local vertical datums: iterative gravimetric quasigeoid computations
title_sort unification of new zealand's local vertical datums: iterative gravimetric quasigeoid computations
topic Vertical datum unification
iterative quasigeoid computation
geodetic levelling
url http://hdl.handle.net/20.500.11937/33690