The polar extended gravity field model TIM_R6e

Abstract TIM_R6e is an extended version of the satellity-only global gravity field model TIM_R6 (Brockmann et al., 2019) which includes additional terrestrial gravity field observations over GOCE's polar gap areas. The included terrestrial information consists of the PolarGap campaign data (For...

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Main Authors: Zingerle, Philipp, Brockmann, Jan Martin, Pail, Roland, Gruber, Thomas, Willberg, Martin
Other Authors: Ince, Elmas Sinem, Reißland, Sven
Format: Dataset
Language:English
Published: GFZ Data Services 2019
Subjects:
Online Access:https://doi.org/10.5880/ICGEM.2019.005
id ftgfzpotsdamdata:oai:doidb.wdc-terra.org:6715
record_format openpolar
institution Open Polar
collection GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)
op_collection_id ftgfzpotsdamdata
language English
topic global gravitational model
ICGEM
GOCE
PolarGap
geodesy
EARTH SCIENCE > SOLID EARTH > GEODETICS > GEOID CHARACTERISTICS
EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITY
spellingShingle global gravitational model
ICGEM
GOCE
PolarGap
geodesy
EARTH SCIENCE > SOLID EARTH > GEODETICS > GEOID CHARACTERISTICS
EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITY
Zingerle, Philipp
Brockmann, Jan Martin
Pail, Roland
Gruber, Thomas
Willberg, Martin
The polar extended gravity field model TIM_R6e
topic_facet global gravitational model
ICGEM
GOCE
PolarGap
geodesy
EARTH SCIENCE > SOLID EARTH > GEODETICS > GEOID CHARACTERISTICS
EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITY
description Abstract TIM_R6e is an extended version of the satellity-only global gravity field model TIM_R6 (Brockmann et al., 2019) which includes additional terrestrial gravity field observations over GOCE's polar gap areas. The included terrestrial information consists of the PolarGap campaign data (Forsberg et al., 2017) augumented by the AntGG gravity data compilation (Scheinert et al., 2016) over the southern polar gap (>83°S) and the ArcGP data (Forsberg et al. 2007) over the northern polar gap (>83°N). The combination is performed on normal equation level, encompassing the terrestrial data as spectrally limited geographic 0.5°x0.5° grids over the polar gaps. TechnicalInfo Processing procedures: (extending TIM_R6)Gravity from orbits (SST): (identical to TIM_R6)- short-arc integral method applied to kinematic orbits, up to degree/order 150- orbit variance information included as part of the stochastic model, it is refined by empirical covariance functionsGravity from gradients (SGG): (identical to TIM_R6)- parameterization up to degree/order 300- observations used: Vxx, Vyy, Vzz and Vxz in the Gradiometer Reference Frame (GRF)- realistic stochastic modelling by applying digital decorrelation filters to the observation equations; estimated separately for individual data segments applying a robust procedureGravity from terrestrial observations (TER):- collocation of the original terrestrial data sources onto 30'x30' geographic gravity disturbance grids (in the polar gap areas above 83° southern/northern latitude, thus forming a pair of polar caps)- spectral limitation of the data to D/O 300 within the collocation process- the chosen grid is fully compatible with the grid of the zero observation constraints of the original TIM_R6 model. In its function it replaces the original constraints- from the collocated polar caps, a partial normal equation system, up to D/O 300 is derivedCombined solution:- addition of normal equations (SST D/O 150, SGG D/O 300, TER D/O 300)- Constraints: * Kaula-regularization applied to coefficients of degrees/orders 201 - 300 (constrained towards zero, fully compatible with TIM_R6)- weighting of SST and SGG is identical to TIM_R6. All TER observations are weighted with 5 mGal.Specific features of resulting gravity field:- Gravity field solution is (mostly) independent of any other gravity field information (outside the polar gap region)- Constraint towards zero starting from degree/order 201 to improve signal-to-noise ratio- Related variance-covariance information represents very well the true errors of the coefficients (outside the polar gap region)- Solution can be used for independent comparison and combination on normal equation level with other satellite-only models (e.g. GRACE), terrestrial gravity data, and altimetry (outside the polar gap region)- Since in the low degrees the solution is based solely on GOCE orbits, it is not competitive with a GRACE model in this spectral region (outside the polar gap region)- In comparison to TIM_R6, TIM_R6e should deliver more accurate results, especially towards the polar gaps. However, as it uses additional data sources it cannot be seen as totally independent anymore: even outside the polar gap regions correlations (introduced by the holistic nature of spherical harmonics) may be found.
author2 Ince, Elmas Sinem
Reißland, Sven
format Dataset
author Zingerle, Philipp
Brockmann, Jan Martin
Pail, Roland
Gruber, Thomas
Willberg, Martin
author_facet Zingerle, Philipp
Brockmann, Jan Martin
Pail, Roland
Gruber, Thomas
Willberg, Martin
author_sort Zingerle, Philipp
title The polar extended gravity field model TIM_R6e
title_short The polar extended gravity field model TIM_R6e
title_full The polar extended gravity field model TIM_R6e
title_fullStr The polar extended gravity field model TIM_R6e
title_full_unstemmed The polar extended gravity field model TIM_R6e
title_sort polar extended gravity field model tim_r6e
publisher GFZ Data Services
publishDate 2019
url https://doi.org/10.5880/ICGEM.2019.005
op_coverage -180 180 -90 90
genre Arctic
genre_facet Arctic
op_relation doi:10.5880/ICGEM.2019.003
url:https://earth.esa.int/documents/10174/134665/PolarGap-2015-2016-final-report
doi:10.1002/2015GL067439
url:https://orbit.dtu.dk/en/publications/combination-of-spaceborne-airborne-and-insitu-gravity-measurements-in-support-of-arctic-sea-ice-thickness-mapping(6c10ece1-de6b-45ce-a5c4-b5a3a691afc8).html
http://dx.doi.org/10.5880/ICGEM.2019.005
doi:10.5880/ICGEM.2019.005
op_rights CC BY 4.0
http://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.5880/ICGEM.2019.005
https://doi.org/10.5880/ICGEM.2019.003
https://doi.org/10.1002/2015GL067439
_version_ 1766298377462480896
spelling ftgfzpotsdamdata:oai:doidb.wdc-terra.org:6715 2023-05-15T14:25:54+02:00 The polar extended gravity field model TIM_R6e Zingerle, Philipp Brockmann, Jan Martin Pail, Roland Gruber, Thomas Willberg, Martin Ince, Elmas Sinem Reißland, Sven -180 180 -90 90 2019 3 Files application/octet-stream https://doi.org/10.5880/ICGEM.2019.005 eng eng GFZ Data Services doi:10.5880/ICGEM.2019.003 url:https://earth.esa.int/documents/10174/134665/PolarGap-2015-2016-final-report doi:10.1002/2015GL067439 url:https://orbit.dtu.dk/en/publications/combination-of-spaceborne-airborne-and-insitu-gravity-measurements-in-support-of-arctic-sea-ice-thickness-mapping(6c10ece1-de6b-45ce-a5c4-b5a3a691afc8).html http://dx.doi.org/10.5880/ICGEM.2019.005 doi:10.5880/ICGEM.2019.005 CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ CC-BY global gravitational model ICGEM GOCE PolarGap geodesy EARTH SCIENCE > SOLID EARTH > GEODETICS > GEOID CHARACTERISTICS EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITY Dataset 2019 ftgfzpotsdamdata https://doi.org/10.5880/ICGEM.2019.005 https://doi.org/10.5880/ICGEM.2019.003 https://doi.org/10.1002/2015GL067439 2022-03-10T11:14:51Z Abstract TIM_R6e is an extended version of the satellity-only global gravity field model TIM_R6 (Brockmann et al., 2019) which includes additional terrestrial gravity field observations over GOCE's polar gap areas. The included terrestrial information consists of the PolarGap campaign data (Forsberg et al., 2017) augumented by the AntGG gravity data compilation (Scheinert et al., 2016) over the southern polar gap (>83°S) and the ArcGP data (Forsberg et al. 2007) over the northern polar gap (>83°N). The combination is performed on normal equation level, encompassing the terrestrial data as spectrally limited geographic 0.5°x0.5° grids over the polar gaps. TechnicalInfo Processing procedures: (extending TIM_R6)Gravity from orbits (SST): (identical to TIM_R6)- short-arc integral method applied to kinematic orbits, up to degree/order 150- orbit variance information included as part of the stochastic model, it is refined by empirical covariance functionsGravity from gradients (SGG): (identical to TIM_R6)- parameterization up to degree/order 300- observations used: Vxx, Vyy, Vzz and Vxz in the Gradiometer Reference Frame (GRF)- realistic stochastic modelling by applying digital decorrelation filters to the observation equations; estimated separately for individual data segments applying a robust procedureGravity from terrestrial observations (TER):- collocation of the original terrestrial data sources onto 30'x30' geographic gravity disturbance grids (in the polar gap areas above 83° southern/northern latitude, thus forming a pair of polar caps)- spectral limitation of the data to D/O 300 within the collocation process- the chosen grid is fully compatible with the grid of the zero observation constraints of the original TIM_R6 model. In its function it replaces the original constraints- from the collocated polar caps, a partial normal equation system, up to D/O 300 is derivedCombined solution:- addition of normal equations (SST D/O 150, SGG D/O 300, TER D/O 300)- Constraints: * Kaula-regularization applied to coefficients of degrees/orders 201 - 300 (constrained towards zero, fully compatible with TIM_R6)- weighting of SST and SGG is identical to TIM_R6. All TER observations are weighted with 5 mGal.Specific features of resulting gravity field:- Gravity field solution is (mostly) independent of any other gravity field information (outside the polar gap region)- Constraint towards zero starting from degree/order 201 to improve signal-to-noise ratio- Related variance-covariance information represents very well the true errors of the coefficients (outside the polar gap region)- Solution can be used for independent comparison and combination on normal equation level with other satellite-only models (e.g. GRACE), terrestrial gravity data, and altimetry (outside the polar gap region)- Since in the low degrees the solution is based solely on GOCE orbits, it is not competitive with a GRACE model in this spectral region (outside the polar gap region)- In comparison to TIM_R6, TIM_R6e should deliver more accurate results, especially towards the polar gaps. However, as it uses additional data sources it cannot be seen as totally independent anymore: even outside the polar gap regions correlations (introduced by the holistic nature of spherical harmonics) may be found. Dataset Arctic GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)