Two-step procedures for hybrid geoid modelling

A variety of mathematical models exist with which to combine long-wavelength geoid information from an Earth gravity model (EGM) with terrestrial gravity data. As new data become available, such as an extended or refined EGM and/or some variance covariance information from terrestrial gravity data,...

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Main Authors: Sjoeberg, L., Featherstone, Will
Format: Journal Article
Published: Springer 2004
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/6434
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author Sjoeberg, L.
Featherstone, Will
author_facet Sjoeberg, L.
Featherstone, Will
author_sort Sjoeberg, L.
building Curtin Institutional Repository
collection Online Access
description A variety of mathematical models exist with which to combine long-wavelength geoid information from an Earth gravity model (EGM) with terrestrial gravity data. As new data become available, such as an extended or refined EGM and/or some variance covariance information from terrestrial gravity data, this new information can be combined with a previous geoid model through a so-called hybrid estimator. The hybrid estimator is defined as a two-step estimator, which provides a solution that is a compromise between computational labour and matching of the entire data set. Some commonly used geoid modifications are compared, and several hybrid estimators are introduced. It is concluded that, in general, hybrid estimators linking the new information to old data by the least squares principle should be preferred to deterministic combinations.
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spelling curtin-20.500.11937-64342018-09-25T00:43:43Z Two-step procedures for hybrid geoid modelling Sjoeberg, L. Featherstone, Will Geoid Modified Stokes' formula Hybrid modification Least-squares modification A variety of mathematical models exist with which to combine long-wavelength geoid information from an Earth gravity model (EGM) with terrestrial gravity data. As new data become available, such as an extended or refined EGM and/or some variance covariance information from terrestrial gravity data, this new information can be combined with a previous geoid model through a so-called hybrid estimator. The hybrid estimator is defined as a two-step estimator, which provides a solution that is a compromise between computational labour and matching of the entire data set. Some commonly used geoid modifications are compared, and several hybrid estimators are introduced. It is concluded that, in general, hybrid estimators linking the new information to old data by the least squares principle should be preferred to deterministic combinations. 2004 Journal Article http://hdl.handle.net/20.500.11937/6434 10.1007/s00190-003-0367-9 Springer restricted
spellingShingle Geoid Modified Stokes' formula Hybrid modification Least-squares modification
Sjoeberg, L.
Featherstone, Will
Two-step procedures for hybrid geoid modelling
title Two-step procedures for hybrid geoid modelling
title_full Two-step procedures for hybrid geoid modelling
title_fullStr Two-step procedures for hybrid geoid modelling
title_full_unstemmed Two-step procedures for hybrid geoid modelling
title_short Two-step procedures for hybrid geoid modelling
title_sort two-step procedures for hybrid geoid modelling
topic Geoid Modified Stokes' formula Hybrid modification Least-squares modification
url http://hdl.handle.net/20.500.11937/6434