AIUB-GRACE-FO-operational - Operational GRACE Follow-On monthly gravity field solutions
Cite as:
Lasser, Martin; Meyer, Ulrich; Arnold , Daniel; Jäggi, Adrian (2020): AIUB-GRACE-FO-operational - Operational GRACE Follow-On monthly gravity field solutions. GFZ Data Services. https://doi.org/10.5880/icgem.2020.001
Status
I N R E V I E W : Lasser, Martin; Meyer, Ulrich; Arnold , Daniel; Jäggi, Adrian (2020): AIUB-GRACE-FO-operational - Operational GRACE Follow-On monthly gravity field solutions. GFZ Data Services. https://doi.org/10.5880/icgem.2020.001
NEW RELEASE AVAILABLE (release 02, October 2023): The operational solution of release 02 provides a complete time series of GRACE Follow-on data derived monthly gravity field solutions, is regularly updated with new monthly solutions and features a consistent processing with an advanced noise modelling of GRACE Follow-On data. It is recommened for usage. It is strongly recommended to use release 02 and discontinue using this release (release 01) from 2020.
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Operational GRACE Follow-On monthly gravity field solutions starting from June 2018 up to degree and order 96 computed with the Celestial Mechanics Approach at AIUB (release 01).
The time series is a loose continuation of AIUB-RL02 GRACE monthly gravity field time series using Level-1B GRACE Follow-On data and operational accelerometer transplant data from IfG (Institute of Geodesy, TU Graz, Working Group Theoretical Geodesy and Satellite Geodesy) and updated background models.
The dataset is created within the framework of the G3P project (https://www.g3p.eu/), this project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870353.
Authors
Lasser, Martin;Astronomical Institute University of Bern (AIUB), Bern, Switzerland
Meyer, Ulrich;Astronomical Institute University of Bern (AIUB), Bern, Switzerland
Arnold , Daniel;Astronomical Institute University of Bern (AIUB), Bern, Switzerland
Jäggi, Adrian;Astronomical Institute University of Bern (AIUB), Bern, Switzerland
Contact
Lasser, Martin; Astronomical Institute University of Bern (AIUB), Bern, Switzerland;
Meyer, Ulrich; Astronomical Institute University of Bern (AIUB), Bern, Switzerland;
Contributors
Ince, Elmas Sinem; Reißland, Sven
Funders
Horizon 2020 Framework Programme:
Global Gravity-based Groundwater Product (G3P) (870353)
affiliation (affiliationIdentifier=0000-0002-3393-1392 affiliationIdentifierScheme=ORCID): GFZ German Research Centre for Geosciences, Potsdam, Germany
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contributorName (nameType=Personal): Reißland, Sven
affiliation (affiliationIdentifier=0000-0001-6293-5336 affiliationIdentifierScheme=ORCID): GFZ German Research Centre for Geosciences, Potsdam, Germany
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contributorName: Lasser, Martin
affiliation: Astronomical Institute University of Bern (AIUB), Bern, Switzerland
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contributorName: Meyer, Ulrich
affiliation: Astronomical Institute University of Bern (AIUB), Bern, Switzerland
CharacterString: NEW RELEASE AVAILABLE (release 02, October 2023): The operational solution of release 02 provides a complete time series of GRACE Follow-on data derived monthly gravity field solutions, is regularly updated with new monthly solutions and features a consistent processing with an advanced noise modelling of GRACE Follow-On data. It is recommened for usage. It is strongly recommended to use release 02 and discontinue using this release (release 01) from 2020.
------------------------------------------------
Operational GRACE Follow-On monthly gravity field solutions starting from June 2018 up to degree and order 96 computed with the Celestial Mechanics Approach at AIUB (release 01).
The time series is a loose continuation of AIUB-RL02 GRACE monthly gravity field time series using Level-1B GRACE Follow-On data and operational accelerometer transplant data from IfG (Institute of Geodesy, TU Graz, Working Group Theoretical Geodesy and Satellite Geodesy) and updated background models.
The dataset is created within the framework of the G3P project (https://www.g3p.eu/), this project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870353.
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