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...
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ftmdpi:oai:mdpi.com:/2076-3263/9/10/415/ 2023-08-20T03:59:59+02:00 Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet—Methods and Results Andreas Groh Martin Horwath Alexander Horvath Rakia Meister Louise Sørensen Valentina Barletta René Forsberg Bert Wouters Pavel Ditmar Jiangjun Ran Roland Klees Xiaoli Su Kun Shang Junyi Guo C. Shum Ernst Schrama Andrew Shepherd agris 2019-09-25 application/pdf https://doi.org/10.3390/geosciences9100415 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/geosciences9100415 https://creativecommons.org/licenses/by/4.0/ Geosciences; Volume 9; Issue 10; Pages: 415 GRACE ice mass change Greenland Antarctica methods Text 2019 ftmdpi https://doi.org/10.3390/geosciences9100415 2023-07-31T22:38:22Z 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. Text Antarc* Antarctic Antarctica Greenland Ice Sheet MDPI Open Access Publishing Antarctic The Antarctic Greenland Geosciences 9 10 415 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
GRACE ice mass change Greenland Antarctica methods |
spellingShingle |
GRACE ice mass change Greenland Antarctica methods Andreas Groh Martin Horwath Alexander Horvath Rakia Meister Louise Sørensen Valentina Barletta René Forsberg Bert Wouters Pavel Ditmar Jiangjun Ran Roland Klees Xiaoli Su Kun Shang Junyi Guo C. Shum Ernst Schrama Andrew Shepherd Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet—Methods and Results |
topic_facet |
GRACE ice mass change Greenland Antarctica methods |
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. |
format |
Text |
author |
Andreas Groh Martin Horwath Alexander Horvath Rakia Meister Louise Sørensen Valentina Barletta René Forsberg Bert Wouters Pavel Ditmar Jiangjun Ran Roland Klees Xiaoli Su Kun Shang Junyi Guo C. Shum Ernst Schrama Andrew Shepherd |
author_facet |
Andreas Groh Martin Horwath Alexander Horvath Rakia Meister Louise Sørensen Valentina Barletta René Forsberg Bert Wouters Pavel Ditmar Jiangjun Ran Roland Klees Xiaoli Su Kun Shang Junyi Guo C. Shum Ernst Schrama Andrew Shepherd |
author_sort |
Andreas Groh |
title |
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_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_sort |
evaluating grace mass change time series for the antarctic and greenland ice sheet—methods and results |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
url |
https://doi.org/10.3390/geosciences9100415 |
op_coverage |
agris |
geographic |
Antarctic The Antarctic Greenland |
geographic_facet |
Antarctic The Antarctic Greenland |
genre |
Antarc* Antarctic Antarctica Greenland Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctica Greenland Ice Sheet |
op_source |
Geosciences; Volume 9; Issue 10; Pages: 415 |
op_relation |
https://dx.doi.org/10.3390/geosciences9100415 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/geosciences9100415 |
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Geosciences |
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9 |
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10 |
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415 |
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