doi:10.5880/ICGEM.2019.003
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GFZ German Research Centre for Geosciences
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2019-08-08
urn:ogc:def:crs:EPSG:4326
The Earth's gravity field as seen by the GOCE satellite - an improved sixth release derived with the time-wise approach (GO_CONS_GCF_2_TIM_R6)
2019-08-08
revision
doi:10.5880/ICGEM.2019.003
Brockmann, Jan Martin
Institute of Geodesy and Geoinformation, Theoretical Geodesy Group, University of Bonn, Germany
author
Schubert, Till
Institute of Geodesy and Geoinformation, Theoretical Geodesy Group, University of Bonn, Germany
author
Mayer-Gürr, Torsten
Institute of Geodesy, Theoretical Geodesy and Satellite Geodesy Group, TU Graz, Austria
author
Schuh, Wolf-Dieter
Institute of Geodesy and Geoinformation, Theoretical Geodesy Group, University of Bonn, Germany
author
The static gravitational model GO_CONS_GCF_2_TIM_R6 Is the 6th release of the GOCE gravity field model by means of the time-wise approach.
GOCE Input Data:
- Gradients: EGG_NOM_2 (re-calibration, released 2018, version 0202)
- Orbits:
-- SST_PKI (kinematic orbits); SST_PCV (variance information of kinematic orbit positions),
-- SST_RNX (original RINEX orbit data)
- Attitude: EGG_IAQ_2C
- Non-conservative accelerations: EGG_CCD_2C
- Data period: 09/10/2009 - 20/10/2013
No static a-priori gravity field information applied (neither as reference model, nor for constraining the solution)
Processing procedures:
- Gravity from orbits (SST):
- 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 functions
- Gravity from gradients (SGG):
- 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 procedure
- Combined solution:
- addition of normal equations (SST D/O 150, SGG D/O 300)
- Constraints:
* Kaula-regularization applied to coefficients of degrees/orders 201 - 300 (constrained towards zero)
* observation equations for zero gravity anomaly observations in polar regions (>83°) to constrain polar gaps towards zero (degree 11 to 300)
- Optimum weighting (SST, SGG, constraints) based on variance component estimation
Specific features of resulting gravity field:
- Gravity field solution is independent of any other gravity field information
- 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
- 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
- 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 is available via this data publication and via ICGEM (Ince et al., 2019). Link to ICGEM Website: http://icgem.gfz-potsdam.de
- The reference epoch is 2010-01-01 (MJD 55197)
Further processing details can be found in Brockmann (2014), Brockmann et al. (2014) Mayer-Gürr et al. (2005) and Pail et al. (2014).
Complete
Brockmann, Jan Martin
Institute of Geodesy and Geoinformation, Theoretical Geodesy Group, University of Bonn, Germany
brockmann@geod.uni-bonn.de
pointOfContact
ICGEM Support
GFZ German Research Centre for Geosciences, Potsdam, Germany
icgem@gfz-potsdam,de
pointOfContact
ICGEM
global gravitational model
GOCE
EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITY
EARTH SCIENCE > SOLID EARTH > GEODETICS > GEOID CHARACTERISTICS
NASA/GCMD Earth Science Keywords
publication
CC BY 4.0
CC BY 4.0
http://nbn-resolving.de/urn:nbn:de:hbz:5n-38608
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Cites
10.1002/2014GL061904
DOI
Cites
10.5194/essd-11-647-2019
DOI
Cites
10.1007/s00190-004-0413-2
DOI
Cites
10.1007/s00190-011-0467-x
DOI
Cites
http://icgem.gfz-potsdam.de
URL
References
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http://dx.doi.org/doi:10.5880/ICGEM.2019.003
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