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 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

*Corresponding author for this work

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Abstract

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.
Original languageEnglish
Article number415
JournalGeosciences
Volume9
Issue number10
Number of pages31
ISSN2076-3263
DOIs
Publication statusPublished - 2019

Keywords

  • GRACE
  • Ice mass change
  • Greenland
  • Antarctica
  • Methods

Cite this

Groh, Andreas ; Horwath, Martin ; Horvath, Alexander ; Meister, Rakia ; Sørensen, Louise Sandberg ; Barletta, Valentina R. ; Forsberg, René ; Wouters, Bert ; Ditmar, Pavel ; Ran, Jiangjun ; Klees, Roland ; Su, Xiaoli ; Shang, Kun ; Guo, Junyi ; Shum, C. K. ; Schrama, Ernst ; Shepherd, Andrew. / Evaluating GRACE mass change time series for the antarctic and Greenland ice sheet-methods and results. In: Geosciences. 2019 ; Vol. 9, No. 10.
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abstract = "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.",
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author = "Andreas Groh and Martin Horwath and Alexander Horvath and Rakia Meister and S{\o}rensen, {Louise Sandberg} and Barletta, {Valentina R.} and Ren{\'e} Forsberg and Bert Wouters and Pavel Ditmar and Jiangjun Ran and Roland Klees and Xiaoli Su and Kun Shang and Junyi Guo and Shum, {C. K.} and Ernst Schrama and Andrew Shepherd",
year = "2019",
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volume = "9",
journal = "Geosciences",
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Groh, A, Horwath, M, Horvath, A, Meister, R, Sørensen, LS, Barletta, VR, Forsberg, R, Wouters, B, Ditmar, P, Ran, J, Klees, R, Su, X, Shang, K, Guo, J, Shum, CK, Schrama, E & Shepherd, A 2019, 'Evaluating GRACE mass change time series for the antarctic and Greenland ice sheet-methods and results', Geosciences, vol. 9, no. 10, 415. https://doi.org/10.3390/geosciences9100415

Evaluating GRACE mass change time series for the antarctic and Greenland ice sheet-methods and results. / Groh, Andreas; Horwath, Martin; Horvath, Alexander; Meister, Rakia; Sørensen, Louise Sandberg; Barletta, Valentina R.; Forsberg, René; Wouters, Bert; Ditmar, Pavel; Ran, Jiangjun; Klees, Roland; Su, Xiaoli; Shang, Kun; Guo, Junyi; Shum, C. K.; Schrama, Ernst; Shepherd, Andrew.

In: Geosciences, Vol. 9, No. 10, 415, 2019.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Evaluating GRACE mass change time series for the antarctic and Greenland ice sheet-methods and results

AU - Groh, Andreas

AU - Horwath, Martin

AU - Horvath, Alexander

AU - Meister, Rakia

AU - Sørensen, Louise Sandberg

AU - Barletta, Valentina R.

AU - Forsberg, René

AU - Wouters, Bert

AU - Ditmar, Pavel

AU - Ran, Jiangjun

AU - Klees, Roland

AU - Su, Xiaoli

AU - Shang, Kun

AU - Guo, Junyi

AU - Shum, C. K.

AU - Schrama, Ernst

AU - Shepherd, Andrew

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - GRACE

KW - Ice mass change

KW - Greenland

KW - Antarctica

KW - Methods

U2 - 10.3390/geosciences9100415

DO - 10.3390/geosciences9100415

M3 - Journal article

VL - 9

JO - Geosciences

JF - Geosciences

SN - 2076-3263

IS - 10

M1 - 415

ER -