HUST-Grace2024: GRACE and GRACE Follow-On monthly gravity field solution

DOI

The new time series of GRACE and GRACE-FO monthly solution HUST-Grace2024 is recently developed at Huazhong University of Science and Technology. During retrieving our model, the reprocessed GRACE L1b RL03 data and GRACE-FO RL04 data are used, and the newly de-aliasing product AOD1B RL07 is applied. In addition, a hybrid processing chain is applied to improve the quality of final solutions. Further details are presented in Zhou et al. (2024).

This work is supported by the National Natural Science Foundation of China (No. 42074018, 41931074, 42061134007).

Parameters:

product_type: gravity_field

modelname: HUST-Grace2024-nLL-YYYYMM

generating institute: HuaZhong University of Science and Technology

earth_gravity_constant: 3.9860044150E+14

radius: 6.3781363000E+06

max_degree: LL

errors: formal

norm: fully_normalized

tide_system: zero_tide

Identifier
DOI https://doi.org/10.5880/ICGEM.2024.001
Related Identifier Cites https://doi.org/10.1029/2019JB017752
Related Identifier Continues https://doi.org/10.5880/ICGEM.2021.001
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7910
Provenance
Creator Zhou, Hao ORCID logo; Zheng, Lijun; Zhou, Zebing; Luo, Zhicai ORCID logo
Publisher GFZ Data Services
Contributor Zhou, Hao; Zhou, Zebing; Luo, Zhicai; Ince, E. Sinem; Reißland, Sven
Publication Year 2024
Funding Reference National Natural Science FoundationNational Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809 Crossref Funder ID 42074018 ; National Natural Science FoundationNational Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809 Crossref Funder ID 41931074 ; National Natural Science FoundationNational Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809 Crossref Funder ID 42061134007
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Zhou, Hao (Huazhong University of Science and Technology (HUST), Wuhan, Hubei, China)
Representation
Resource Type Dataset
Discipline Geodesy, Geoinformatics and Remote Sensing