Modeling of Atmospheric Gravity Effects for High-Precision Observations

Temporal variations of atmospheric density distribution induce changes in the gravitational air mass attraction at a specific observation site. Additionally, the load of the atmospheric masses deforms the Earth’s crust and the sea surface. Variations in the local gravity acceleration and atmospheric...

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Main Authors: Gitlein, Olga, Timmen, Ludger, Müller, Jürgen
Format: Article in Journal/Newspaper
Language:English
Published: Delaware : Scientific Research Publishing Inc. 2013
Subjects:
Online Access:https://dx.doi.org/10.15488/1531
http://www.repo.uni-hannover.de/handle/123456789/1556
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author Gitlein, Olga
Timmen, Ludger
Müller, Jürgen
author_facet Gitlein, Olga
Timmen, Ludger
Müller, Jürgen
author_sort Gitlein, Olga
collection DataCite
description Temporal variations of atmospheric density distribution induce changes in the gravitational air mass attraction at a specific observation site. Additionally, the load of the atmospheric masses deforms the Earth’s crust and the sea surface. Variations in the local gravity acceleration and atmospheric pressure are known to be corrected with an admittance of about 3 nm/s2 per hPa as a standard factor, which is in accordance with the IAG Resolution No. 9, 1983. A more accurate admittance factor for a gravity station is varying with time and depends on the total global mass distribution within the atmosphere. The Institut für Erdmessung (IfE) performed absolute gravity observations in the Fennoscandian land uplift area nearly every year from 2003 to 2008. The objective is to ensure a reduction with 3 nm/s2 accuracy. Therefore, atmospheric gravity changes are modeled using globally distributed ECMWF data. The attraction effect from the local zone around the gravity station is calculated with ECMWF 3D weather data describing different pressure levels up to a height of 50 km. To model the regional and global attraction, and all deformation components the Green’s functions method and surface ECMWF 2D weather data are used. For the annually performed absolute gravimetry determinations, this approach improved the reductions by 8 nm/s2 (-19 nm/s2 to +4 nm/s2). The gravity modeling was verified using superconducting gravimeter data at station Membach inBelgiumimproving the residuals by about 15%.
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spelling ftdatacite:10.15488/1531 2025-01-16T21:51:55+00:00 Modeling of Atmospheric Gravity Effects for High-Precision Observations Gitlein, Olga Timmen, Ludger Müller, Jürgen 2013 https://dx.doi.org/10.15488/1531 http://www.repo.uni-hannover.de/handle/123456789/1556 en eng Delaware : Scientific Research Publishing Inc. CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0 CC-BY Atmospheric Reduction Green’s Functions ECMWF Absolute Gravimetry Superconducting Gravimeter Dewey Decimal Classification500 | Naturwissenschaften550 | Geowissenschaften Other CreativeWork article 2013 ftdatacite https://doi.org/10.15488/1531 2021-11-05T12:55:41Z Temporal variations of atmospheric density distribution induce changes in the gravitational air mass attraction at a specific observation site. Additionally, the load of the atmospheric masses deforms the Earth’s crust and the sea surface. Variations in the local gravity acceleration and atmospheric pressure are known to be corrected with an admittance of about 3 nm/s2 per hPa as a standard factor, which is in accordance with the IAG Resolution No. 9, 1983. A more accurate admittance factor for a gravity station is varying with time and depends on the total global mass distribution within the atmosphere. The Institut für Erdmessung (IfE) performed absolute gravity observations in the Fennoscandian land uplift area nearly every year from 2003 to 2008. The objective is to ensure a reduction with 3 nm/s2 accuracy. Therefore, atmospheric gravity changes are modeled using globally distributed ECMWF data. The attraction effect from the local zone around the gravity station is calculated with ECMWF 3D weather data describing different pressure levels up to a height of 50 km. To model the regional and global attraction, and all deformation components the Green’s functions method and surface ECMWF 2D weather data are used. For the annually performed absolute gravimetry determinations, this approach improved the reductions by 8 nm/s2 (-19 nm/s2 to +4 nm/s2). The gravity modeling was verified using superconducting gravimeter data at station Membach inBelgiumimproving the residuals by about 15%. Article in Journal/Newspaper Fennoscandian DataCite Dewey ENVELOPE(-64.320,-64.320,-65.907,-65.907)
spellingShingle Atmospheric Reduction
Green’s Functions
ECMWF
Absolute Gravimetry
Superconducting Gravimeter
Dewey Decimal Classification500 | Naturwissenschaften550 | Geowissenschaften
Gitlein, Olga
Timmen, Ludger
Müller, Jürgen
Modeling of Atmospheric Gravity Effects for High-Precision Observations
title Modeling of Atmospheric Gravity Effects for High-Precision Observations
title_full Modeling of Atmospheric Gravity Effects for High-Precision Observations
title_fullStr Modeling of Atmospheric Gravity Effects for High-Precision Observations
title_full_unstemmed Modeling of Atmospheric Gravity Effects for High-Precision Observations
title_short Modeling of Atmospheric Gravity Effects for High-Precision Observations
title_sort modeling of atmospheric gravity effects for high-precision observations
topic Atmospheric Reduction
Green’s Functions
ECMWF
Absolute Gravimetry
Superconducting Gravimeter
Dewey Decimal Classification500 | Naturwissenschaften550 | Geowissenschaften
topic_facet Atmospheric Reduction
Green’s Functions
ECMWF
Absolute Gravimetry
Superconducting Gravimeter
Dewey Decimal Classification500 | Naturwissenschaften550 | Geowissenschaften
url https://dx.doi.org/10.15488/1531
http://www.repo.uni-hannover.de/handle/123456789/1556