Validation of the EGSIEM GRACE gravity fields using GNSS coordinate timeseries and in-situ ocean bottom pressure records

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  • University of Luxembourg
  • Helmholtz Centre Potsdam - German Research Centre for Geosciences (GFZ)
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Original languageEnglish
Article number1976
Number of pages20
JournalRemote sensing
Volume10
Issue number12
Publication statusPublished - 7 Dec 2018

Abstract

Over the 15 years of the Gravity Recovery and Climate Experiment (GRACE) mission, various data processing approaches were developed to derive time-series of global gravity fields based on sensor observations acquired from the two spacecrafts. In this paper, we compare GRACE-based mass anomalies provided by various processing groups against Global Navigation Satellite System (GNSS) station coordinate time-series and in-situ observations of ocean bottom pressure. In addition to the conventional GRACE-based global geopotential models from the main processing centers, we focus particularly on combined gravity field solutions generated within the Horizon2020 project European Gravity Service for Improved Emergency Management (EGSIEM). Although two validation techniques are fully independent from each other, it is demonstrated that they confirm each other to a large extent. Through the validation, we show that the EGSIEM combined long-term monthly solutions are comparable to CSR RL05 and ITSG2016, and better than the other three considered GRACE monthly solutions AIUB RL02, GFZ RL05a, and JPL RL05.1. Depending on the GNSS products, up to 25.6% mean Weighted Root-Mean-Square (WRMS) reduction is obtained when comparing GRACE to the ITRF2014 residuals over 236 GNSS stations. In addition, we also observe remarkable agreement at the annual period between GNSS and GRACE with up to 73% median WRMS reduction when comparing GRACE to the 312 EGSIEM-reprocessed GNSS time series. While the correspondence between GRACE and ocean bottom pressure data is overall much smaller due to lower signal to noise ratio over the oceans than over the continents, up to 50% agreement is found between them in some regions. The results fully confirm the conclusions found using GNSS.

Keywords

    Combined solutions, EGSIEM, GNSS time series, GRACE, In-situ OBP records, Validation

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Cite this

Validation of the EGSIEM GRACE gravity fields using GNSS coordinate timeseries and in-situ ocean bottom pressure records. / Chen, Qiang; Poropat, Lea; Zhang, Liangjing et al.
In: Remote sensing, Vol. 10, No. 12, 1976, 07.12.2018.

Research output: Contribution to journalArticleResearchpeer review

Chen Q, Poropat L, Zhang L, Dobslaw H, Weigelt M, van Dam T. Validation of the EGSIEM GRACE gravity fields using GNSS coordinate timeseries and in-situ ocean bottom pressure records. Remote sensing. 2018 Dec 7;10(12):1976. doi: 10.3390/rs10121976
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title = "Validation of the EGSIEM GRACE gravity fields using GNSS coordinate timeseries and in-situ ocean bottom pressure records",
abstract = "Over the 15 years of the Gravity Recovery and Climate Experiment (GRACE) mission, various data processing approaches were developed to derive time-series of global gravity fields based on sensor observations acquired from the two spacecrafts. In this paper, we compare GRACE-based mass anomalies provided by various processing groups against Global Navigation Satellite System (GNSS) station coordinate time-series and in-situ observations of ocean bottom pressure. In addition to the conventional GRACE-based global geopotential models from the main processing centers, we focus particularly on combined gravity field solutions generated within the Horizon2020 project European Gravity Service for Improved Emergency Management (EGSIEM). Although two validation techniques are fully independent from each other, it is demonstrated that they confirm each other to a large extent. Through the validation, we show that the EGSIEM combined long-term monthly solutions are comparable to CSR RL05 and ITSG2016, and better than the other three considered GRACE monthly solutions AIUB RL02, GFZ RL05a, and JPL RL05.1. Depending on the GNSS products, up to 25.6% mean Weighted Root-Mean-Square (WRMS) reduction is obtained when comparing GRACE to the ITRF2014 residuals over 236 GNSS stations. In addition, we also observe remarkable agreement at the annual period between GNSS and GRACE with up to 73% median WRMS reduction when comparing GRACE to the 312 EGSIEM-reprocessed GNSS time series. While the correspondence between GRACE and ocean bottom pressure data is overall much smaller due to lower signal to noise ratio over the oceans than over the continents, up to 50% agreement is found between them in some regions. The results fully confirm the conclusions found using GNSS.",
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note = "Funding Information: This research was supported by the European Union{\textquoteright}s Horizon2020 research and innovation program under the Grant Agreement No.637010. Acknowledgments: We are grateful to Paul Rebischung from IGN (France) and JPL (USA) for providing us the GNSS products. We thank Andreas Macrander from MFRI (Marine and Freshwater Research Institute, Reykjavik, Iceland) for compiling and sharing his OBP database. MPIOM model data is accessible from isdc.gfz-potsdam.de/esmdata. MPIOM simulations were performed at Deutsches Klimarechenzentrum in Hamburg, Germany. ",
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AU - Dobslaw, Henryk

AU - Weigelt, Matthias

AU - van Dam, Tonie

N1 - Funding Information: This research was supported by the European Union’s Horizon2020 research and innovation program under the Grant Agreement No.637010. Acknowledgments: We are grateful to Paul Rebischung from IGN (France) and JPL (USA) for providing us the GNSS products. We thank Andreas Macrander from MFRI (Marine and Freshwater Research Institute, Reykjavik, Iceland) for compiling and sharing his OBP database. MPIOM model data is accessible from isdc.gfz-potsdam.de/esmdata. MPIOM simulations were performed at Deutsches Klimarechenzentrum in Hamburg, Germany.

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