Tongji-Grace02s, a static unconstrained GRACE-only gravity field model

DOI

Tongji-Grace02s, a static unconstrained GRACE-only gravity field model up to degree and order 180 was developed by Tongji University under the sponsorship of National Natural Science Foundation of China (41474017). To derive Tongji-Grace02s, the modified short-arc approach which estimates errors of non-conservative acceleration and attitude observations was adopted, and the GRACE-only data (including orbits, range-rates, non-conservative accelerations and attitudes) over the period Jan. 2003 to Jul. 2016 were used. The quality of Tongji-Grace02s is remarkably better than Tongji-GRACE01. In computing Tongji-Grace02s, neither constraint nor regularization was applied.

Input Data:- GRACE RL02 L1B (JPL) data products: Jan. 2003 – Jul. 2016- AOD1B RL05 (GFZ) de-aliasing product

Calculation method:- modified short-arc approach- arc length: 2 hours

Force models: - can be found in Chen et al. 2015 (Chen, Q., Shen, Y., Zhang, X., Hsu, H., Chen, W., Ju, X., Lou, L., 2015. Monthly gravity field models derived from GRACE Level 1B data using a modified short-arc approach. Journal of Geophysical Research: Solid Earth, 120(3), 1804-1819. http://doi.org/10.1002/2014JB011470).

Identifier
DOI https://doi.org/10.5880/icgem.2017.002
Related Identifier https://doi.org/10.1002/2014JB011470
Related Identifier https://doi.org/10.1007/s00190-016-0889-6
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6285
Provenance
Creator Chen, Qiujie; Shen, Yunzhong; Chen, Wu; Zhang, Xingfu
Publisher GFZ Data Services
Contributor Chen, Qiujie
Publication Year 2017
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Chen, Qiujie (College of Surveying and Geo-informatics, Tongji University, Shanghai, China)
Representation
Language English
Resource Type Dataset
Format application/octet-stream
Size 656799 Bytes; 1 Files
Discipline Geodesy, Geoinformatics and Remote Sensing
Spatial Coverage (-180.000W, -90.000S, 180.000E, 90.000N)