Multi-approach Gravity Field Models from Swarm GPS data

DOI

Although the knowledge of the gravity of the Earth has improved considerably with CHAMP, GRACE and GOCE satellite missions, the geophysical community has identified the need for the continued monitoring of its time-variable component with the purpose of estimating the hydrological and glaciological yearly cycles and long-term trends. Currently, the GRACE-FO satellites are the sole provider of this data, while previously the GRACE mission collected these data for 15 years. Between the GRACE and GRACE-FO data periods lies a gap spanning from July 2017 to May 2018, while the Swarm satellites have collected gravimetric data with its GPS receivers since December 2013.

This project aims at providing high-quality gravity field models from Swarm data that constitute an alternative and independent source of gravimetric data, which could help alleviate the consequences of the 10-month gap between GRACE and GRACE-FO, as well as the short gaps in the existing GRACE and GRACE-FO monthly time series.

The geodetic community has realized that the combination of the different gravity field solutions is superior to any individual model. This project exploits this fact and delivers to the highest quality monthly-independent gravity field models, resulting from the combination of 4 different gravity field estimation approaches. All solutions are unconstrained and estimated independently from month to month.

Preliminary comparison with GRACE data has demonstrated that the signal in the Swarm gravity field models is restricted to degrees 12-15 and below, while the temporal correlations decrease considerably above degree 10. The 750km smoothed models are suitable to retrieve the global annual temporal variations of Earth's gravity field and the agreement with GRACE over large basins (e.g. Amazon, Congo-Zambezi, Ganges-Brahmaputra) is within 1cm RMS in terms of Equivalent Water Height. The global RMS relative to a bias, trend, an annual and semi-annual model derived from GRACE over deep ocean areas (those roughly 1000km from shorelines) is under 1mm geoid height during periods of low ionospheric activity.

More information about this project can be found at https://www.researchgate.net/project/Multi-approach-gravity-field-models-from-Swarm-GPS-data and ESA's Swarm DISC (the Data, Innovation and Science Cluster) Website (https://earth.esa.int/web/guest/missions/esa-eo-missions/swarm/activities/scientific-projects/disc#MAGF). This project is funded by ESA via the Swarm DISC, Sub-Contract No. SW-CO-DTU-GS-111.

Identifier
DOI https://doi.org/10.5880/ICGEM.2019.006
Related Identifier https://doi.org/10.1186/s40623-016-0499-9
Related Identifier https://doi.org/10.1093/gji/ggw094
Related Identifier https://doi.org/10.1016/j.asr.2015.10.035
Related Identifier https://doi.org/10.5194/angeo-37-111-2019
Related Identifier https://doi.org/10.1016/j.asr.2017.03.003
Related Identifier https://doi.org/10.1186/s40623-016-0459-4
Related Identifier https://doi.org/10.5194/angeo-2018-91
Related Identifier https://doi.org/10.3390/rs11080956
Related Identifier https://doi.org/10.1016/j.asr.2017.02.037
Related Identifier https://doi.org/10.13140/RG.2.2.18307.81440
Related Identifier https://doi.org/10.1016/J.AST.2019.03.031
Related Identifier https://www.researchgate.net/project/Multi-approach-gravity-field-models-from-Swarm-GPS-data
Related Identifier https://earth.esa.int/web/guest/missions/esa-eo-missions/swarm/activities/scientific-projects/disc#MAGF
Related Identifier https://doi.org/10.13140/RG.2.2.19891.99361
Related Identifier https://doi.org/10.13140/RG.2.2.12840.32006/1
Related Identifier https://doi.org/10.13140/RG.2.2.33313.76640
Related Identifier https://doi.org/10.5194/essd-2019-158
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6723
Provenance
Creator Encarnacao, Joao ORCID logo; Visser, Pieter ORCID logo; Jaeggi, Adrian ORCID logo; Bezdek, Ales ORCID logo; Mayer-Gürr, Torsten (ORCID: 0000-0003-2609-428X); Shum, C.K.; Arnold, Daniel; Doornbos, Eelco ORCID logo; Elmer, Matthias; Guo, Junyi; van den IJssel, Jose (ORCID: 0000-0002-4086-874X); Iorfida, Elisabetta; Klokocnik, Jaroslav ORCID logo; Krauss, Sandro ORCID logo; Mao, Xinyuan; Meyer, Ulrich; Sebera, Josef ORCID logo; Zhang, Chaoyang; Zhang, Yu; Dahle, Christoph ORCID logo
Publisher GFZ Data Services
Contributor Encarnacao, Joao; Visser, Pieter; Jaeggi, Adrian; Bezdek, Ales; Mayer-Gürr, Torsten; Shum, C.K.; Arnold, Daniel; Doornbos, Eelco; Elmer, Matthias; Guo, Junyi; van den IJssel, Jose; Iorfida, Elisabetta; Klokocnik, Jaroslav; Krauss, Sandro; Mao, Xinyuan; Meyer, Ulrich; Sebera, Josef; Zhang, Chaoyang; Zhang, Yu; Dahle, Christoph; European Space Agency; COST-G International Combination Service for Time-variable Gravity Field Solutions; Ince, Elmas Sinem; Reißland, Sven
Publication Year 2019
Funding Reference European Space Agency http://doi.org/10.13039/501100000844 Crossref Funder ID SD-ITT-1.1 (part of contract 4000109587/13/I-NB) Swarm as a gravity field mission
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Encarnacao, Joao (CSR Center for Space Research, University of Texas at Austin, USA); Visser, Pieter (Delft University of Technology, The Netherlands)
Representation
Language English
Resource Type Dataset
Format application/octet-stream
Size 2 Files
Discipline Geography; Geosciences; Geospheric Sciences; Natural Sciences
Spatial Coverage (-180.000W, -90.000S, 180.000E, 90.000N)