Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet—Methods and Results
Satellite gravimetry data acquired by the Gravity Recovery and Climate Experiment (GRACE) allows to derive the temporal evolution in ice mass for both the Antarctic Ice Sheet (AIS) and the Greenland Ice Sheet (GIS). Various algorithms have been used in a wide range of studies to generate Gravimetric...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Geosciences |
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| Online Access: | https://www.mdpi.com/2076-3263/9/10/415 |
| _version_ | 1818172538896777216 |
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| author | Andreas Groh Martin Horwath Alexander Horvath Rakia Meister Louise Sandberg Sørensen Valentina R. Barletta René Forsberg Bert Wouters Pavel Ditmar Jiangjun Ran Roland Klees Xiaoli Su Kun Shang Junyi Guo C. K. Shum Ernst Schrama Andrew Shepherd |
| author_facet | Andreas Groh Martin Horwath Alexander Horvath Rakia Meister Louise Sandberg Sørensen Valentina R. Barletta René Forsberg Bert Wouters Pavel Ditmar Jiangjun Ran Roland Klees Xiaoli Su Kun Shang Junyi Guo C. K. Shum Ernst Schrama Andrew Shepherd |
| author_sort | Andreas Groh |
| collection | DOAJ |
| description | Satellite gravimetry data acquired by the Gravity Recovery and Climate Experiment (GRACE) allows to derive the temporal evolution in ice mass for both the Antarctic Ice Sheet (AIS) and the Greenland Ice Sheet (GIS). Various algorithms have been used in a wide range of studies to generate Gravimetric Mass Balance (GMB) products. Results from different studies may be affected by substantial differences in the processing, including the applied algorithm, the utilised background models and the time period under consideration. This study gives a detailed description of an assessment of the performance of GMB algorithms using actual GRACE monthly solutions for a prescribed period as well as synthetic data sets. The inter-comparison exercise was conducted in the scope of the European Space Agency’s Climate Change Initiative (CCI) project for the AIS and GIS, and was, for the first time, open to everyone. GMB products generated by different groups could be evaluated and directly compared against each other. For the period from 2003-02 to 2013-12, estimated linear trends in ice mass vary between −99 Gt/yr and −108 Gt/yr for the AIS and between −252 Gt/yr and −274 Gt/yr for the GIS, respectively. The spread between the solutions is larger if smaller drainage basins or gridded GMB products are considered. Finally, findings from the exercise formed the basis to select the algorithms used for the GMB product generation within the AIS and GIS CCI project. |
| first_indexed | 2024-12-11T19:14:13Z |
| format | Article |
| id | doaj.art-f9fb39d2d47d4e1ea19e3e29a0e0a350 |
| institution | Directory Open Access Journal |
| issn | 2076-3263 |
| language | English |
| last_indexed | 2024-12-11T19:14:13Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geosciences |
| spelling | doaj.art-f9fb39d2d47d4e1ea19e3e29a0e0a3502022-12-22T00:53:42ZengMDPI AGGeosciences2076-32632019-09-0191041510.3390/geosciences9100415geosciences9100415Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet—Methods and ResultsAndreas Groh0Martin Horwath1Alexander Horvath2Rakia Meister3Louise Sandberg Sørensen4Valentina R. Barletta5René Forsberg6Bert Wouters7Pavel Ditmar8Jiangjun Ran9Roland Klees10Xiaoli Su11Kun Shang12Junyi Guo13C. K. Shum14Ernst Schrama15Andrew Shepherd16Institut für Planetare Geodäsie, Technische Universität Dresden, 01062 Dresden, GermanyInstitut für Planetare Geodäsie, Technische Universität Dresden, 01062 Dresden, GermanyInstitut für Astronomische und Physikalische Geodäsie, Technische Universität München, 80333 München, GermanyDTU Space, Technical University of Denmark, 2800 Kongens Lyngby, DenmarkDTU Space, Technical University of Denmark, 2800 Kongens Lyngby, DenmarkDTU Space, Technical University of Denmark, 2800 Kongens Lyngby, DenmarkDTU Space, Technical University of Denmark, 2800 Kongens Lyngby, DenmarkBristol Glaciology Centre, University of Bristol, Bristol BS8 1SS, UKDepartment of Geoscience and Remote Sensing, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The NetherlandsDepartment of Geoscience and Remote Sensing, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The NetherlandsDepartment of Geoscience and Remote Sensing, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The NetherlandsSchool of Earth Sciences, The Ohio State University, Columbus, OH 43210-1398, USASchool of Earth Sciences, The Ohio State University, Columbus, OH 43210-1398, USASchool of Earth Sciences, The Ohio State University, Columbus, OH 43210-1398, USASchool of Earth Sciences, The Ohio State University, Columbus, OH 43210-1398, USADepartment of Space Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The NetherlandsCentre for Polar Observation and Modelling, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UKSatellite gravimetry data acquired by the Gravity Recovery and Climate Experiment (GRACE) allows to derive the temporal evolution in ice mass for both the Antarctic Ice Sheet (AIS) and the Greenland Ice Sheet (GIS). Various algorithms have been used in a wide range of studies to generate Gravimetric Mass Balance (GMB) products. Results from different studies may be affected by substantial differences in the processing, including the applied algorithm, the utilised background models and the time period under consideration. This study gives a detailed description of an assessment of the performance of GMB algorithms using actual GRACE monthly solutions for a prescribed period as well as synthetic data sets. The inter-comparison exercise was conducted in the scope of the European Space Agency’s Climate Change Initiative (CCI) project for the AIS and GIS, and was, for the first time, open to everyone. GMB products generated by different groups could be evaluated and directly compared against each other. For the period from 2003-02 to 2013-12, estimated linear trends in ice mass vary between −99 Gt/yr and −108 Gt/yr for the AIS and between −252 Gt/yr and −274 Gt/yr for the GIS, respectively. The spread between the solutions is larger if smaller drainage basins or gridded GMB products are considered. Finally, findings from the exercise formed the basis to select the algorithms used for the GMB product generation within the AIS and GIS CCI project.https://www.mdpi.com/2076-3263/9/10/415graceice mass changegreenlandantarcticamethods |
| spellingShingle | Andreas Groh Martin Horwath Alexander Horvath Rakia Meister Louise Sandberg Sørensen Valentina R. Barletta René Forsberg Bert Wouters Pavel Ditmar Jiangjun Ran Roland Klees Xiaoli Su Kun Shang Junyi Guo C. K. Shum Ernst Schrama Andrew Shepherd Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet—Methods and Results Geosciences grace ice mass change greenland antarctica methods |
| title | Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet—Methods and Results |
| title_full | Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet—Methods and Results |
| title_fullStr | Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet—Methods and Results |
| title_full_unstemmed | Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet—Methods and Results |
| title_short | Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet—Methods and Results |
| title_sort | evaluating grace mass change time series for the antarctic and greenland ice sheet methods and results |
| topic | grace ice mass change greenland antarctica methods |
| url | https://www.mdpi.com/2076-3263/9/10/415 |
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