10.5880/ICGEM.2019.003
Brockmann, Jan Martin
Jan Martin
Brockmann
0000-0002-7647-4515
Institute of Geodesy and Geoinformation, Theoretical Geodesy Group, University of Bonn, Germany
Schubert, Till
Till
Schubert
0000-0001-5192-6629
Institute of Geodesy and Geoinformation, Theoretical Geodesy Group, University of Bonn, Germany
Mayer-Gürr, Torsten
Torsten
Mayer-Gürr
0000-0003-2609-428X
Institute of Geodesy, Theoretical Geodesy and Satellite Geodesy Group, TU Graz, Austria
Schuh, Wolf-Dieter
Wolf-Dieter
Schuh
0000-0002-3522-3146
Institute of Geodesy and Geoinformation, Theoretical Geodesy Group, University of Bonn, Germany
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)
GFZ Data Services
2019
ICGEM
global gravitational model
GOCE
EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITY
EARTH SCIENCE > SOLID EARTH > GEODETICS > GEOID CHARACTERISTICS
Ince, Elmas Sinem
Elmas Sinem
Ince
0000-0002-3393-1392
GFZ German Research Centre for Geosciences, Potsdam, Germany
Reißland, Sven
Sven
Reißland
0000-0001-6293-5336
GFZ German Research Centre for Geosciences, Potsdam, Germany
eng
Dataset
http://nbn-resolving.de/urn:nbn:de:hbz:5n-38608
10.1002/2014GL061904
10.5194/essd-11-647-2019
10.1007/s00190-004-0413-2
10.1007/s00190-011-0467-x
http://icgem.gfz-potsdam.de
3 Files
application/octet-stream
application/octet-stream
application/octet-stream
CC BY 4.0
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).
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