Ellipsoidal Harmonic Forward Model derived from Earth2014 topographies up to d/o 7200: EHFM_Earth_7200

DOI

The model named EHFM_Earth_7200 was derived by layer-based forward modeling technique in ellipsoidal harmonics, the maximum degree of this model reaches 7200. The relief information was provided by Earth2014 relief model. EHFM_Earth_7200 provides very detailed (~3 km) information for the Earth’s short-scale gravity field, and it is expected to be able to augment or refine existing global gravity models. To meet the existing standard, here we provide spherical harmonic coefficients, which are transformed from original ellipsoidal harmonic coefficients. The maximum degree of the spherical harmonic coefficients is 7300.

  • Compute global equiangular reduced latitude grids from degree 10800 Earth2014 SHCs and expanded these grids into EHCs. The grids are band-limited in spherical harmonics instead of in ellipsoidal harmonics so extra degrees beyond the truncation degree are also calculated. We obtained surface EHCs up to degree and order (d/o) 11000 but truncated them to d/o 7200.

  • Calculate potential models of three layers (crust, water and ice) separately from Earth2014 reliefs by new developed ellipsoidal harmonic forward modeling formulas. The densities of the three layers are 2670, 1030, and 917 kg/m^3.

  • Sum up results from the three layers and obtain EHFM_Earth_7200 ellipsoidal harmonic coefficients.

  • Convert ellipsoidal harmonic coefficients to spherical harmonic coefficients. The maximum degree of the spherical harmonic coefficients is 7300.

Identifier
DOI https://doi.org/10.5880/icgem.2024.002
Related Identifier References https://doi.org/10.1016/j.jag.2015.03.001
Related Identifier References https://doi.org/10.1007/s10712-016-9382-2
Related Identifier References https://doi.org/10.1007/s00190-013-0654-z
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7909
Provenance
Creator Liu, Cong ORCID logo; Wang, Zhengtao
Publisher GFZ Data Services
Contributor Liu, Cong; Wang, Zhengtao
Publication Year 2024
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Liu, Cong (School of Geodesy and Geomatics, Wuhan University)
Representation
Resource Type Dataset
Discipline Geodesy, Geoinformatics and Remote Sensing
Spatial Coverage (-180.000W, -90.000S, 180.000E, 90.000N)