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)

DOI

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).

Identifier
DOI https://doi.org/10.5880/ICGEM.2019.003
Related Identifier http://nbn-resolving.de/urn:nbn:de:hbz:5n-38608
Related Identifier https://doi.org/10.1002/2014GL061904
Related Identifier https://doi.org/10.5194/essd-11-647-2019
Related Identifier https://doi.org/10.1007/s00190-004-0413-2
Related Identifier https://doi.org/10.1007/s00190-011-0467-x
Related Identifier http://icgem.gfz-potsdam.de
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6705
Provenance
Creator Brockmann, Jan Martin ORCID logo; Schubert, Till ORCID logo; Mayer-Gürr, Torsten (ORCID: 0000-0003-2609-428X); Schuh, Wolf-Dieter ORCID logo
Publisher GFZ Data Services
Contributor Ince, Elmas Sinem; Reißland, Sven
Publication Year 2019
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/octet-stream
Size 3 Files
Discipline Geodesy, Geoinformatics and Remote Sensing
Spatial Coverage (-180.000W, -90.000S, 180.000E, 90.000N)