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Publications (10 of 10) Show all publications
Doescher, R., Acosta, M., Alessandri, A., Anthoni, P., Arsouze, T., Bergman, T., . . . Zhang, Q. (2022). The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6. Geoscientific Model Development, 15(7), 2973-3020
Open this publication in new window or tab >>The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6
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2022 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 15, no 7, p. 2973-3020Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-6270 (URN)10.5194/gmd-15-2973-2022 (DOI)000792384900001 ()
Available from: 2022-05-24 Created: 2022-05-24 Last updated: 2022-05-24Bibliographically approved
Docquier, D. & Koenigk, T. (2021). A review of interactions between ocean heat transport and Arctic sea ice. Environmental Research Letters, 16(12), Article ID 123002.
Open this publication in new window or tab >>A review of interactions between ocean heat transport and Arctic sea ice
2021 (English)In: Environmental Research Letters, E-ISSN 1748-9326, Vol. 16, no 12, article id 123002Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-6195 (URN)10.1088/1748-9326/ac30be (DOI)000719571000001 ()
Available from: 2021-12-02 Created: 2021-12-02 Last updated: 2024-01-17Bibliographically approved
Keen, A., Blockley, E., Bailey, D. A., Debernard, J. B., Bushuk, M., Delhaye, S., . . . Wyser, K. (2021). An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models. The Cryosphere, 15(2), 951-982
Open this publication in new window or tab >>An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models
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2021 (English)In: The Cryosphere, ISSN 1994-0416, E-ISSN 1994-0424, Vol. 15, no 2, p. 951-982Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-6086 (URN)10.5194/tc-15-951-2021 (DOI)000627571700002 ()
Available from: 2021-04-13 Created: 2021-04-13 Last updated: 2021-04-13
Docquier, D., Koenigk, T., Fuentes Franco, R., Karami, P. & Ruprich-Robert, Y. (2021). Impact of ocean heat transport on the Arctic sea-ice decline: a model study with EC-Earth3. Climate Dynamics
Open this publication in new window or tab >>Impact of ocean heat transport on the Arctic sea-ice decline: a model study with EC-Earth3
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2021 (English)In: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-6055 (URN)10.1007/s00382-020-05540-8 (DOI)000606734100004 ()
Available from: 2021-02-02 Created: 2021-02-02 Last updated: 2021-06-01Bibliographically approved
Docquier, D. & Koenigk, T. (2021). Observation-based selection of climate models projects Arctic ice-free summers around 2035. Communications Earth & Environment, 2(1), Article ID 144.
Open this publication in new window or tab >>Observation-based selection of climate models projects Arctic ice-free summers around 2035
2021 (English)In: Communications Earth & Environment, E-ISSN 2662-4435, Vol. 2, no 1, article id 144Article in journal (Refereed) Published
Abstract [en]

Arctic sea ice has been retreating at an accelerating pace over the past decades. Model projections show that the Arctic Ocean could be almost ice free in summer by the middle of this century. However, the uncertainties related to these projections are relatively large. Here we use 33 global climate models from the Coupled Model Intercomparison Project 6 (CMIP6) and select models that best capture the observed Arctic sea-ice area and volume and northward ocean heat transport to refine model projections of Arctic sea ice. This model selection leads to lower Arctic sea-ice area and volume relative to the multi-model mean without model selection and summer ice-free conditions could occur as early as around 2035. These results highlight a potential underestimation of future Arctic sea-ice loss when including all CMIP6 models. The Arctic Ocean could be ice free in summer as early as 2035, according to an analysis of CMIP6 models which selects only the models that best capture observed sea-ice area and volume and northward ocean heat transport

National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-6135 (URN)10.1038/s43247-021-00214-7 (DOI)000674947000001 ()
Available from: 2021-08-03 Created: 2021-08-03 Last updated: 2022-09-15Bibliographically approved
Notz, D., Doerr, J., Bailey, D. A., Blockley, E., Bushuk, M., Debernard, J. B., . . . Vancoppenolle, M. (2020). Arctic Sea Ice in CMIP6. Geophysical Research Letters, 47(10), Article ID e2019GL086749.
Open this publication in new window or tab >>Arctic Sea Ice in CMIP6
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2020 (English)In: Geophysical Research Letters, ISSN 0094-8276, E-ISSN 1944-8007, Vol. 47, no 10, article id e2019GL086749Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate; Climate
Identifiers
urn:nbn:se:smhi:diva-5900 (URN)10.1029/2019GL086749 (DOI)000560371700009 ()
Available from: 2020-09-15 Created: 2020-09-15 Last updated: 2020-09-15Bibliographically approved
Eyring, V., Bock, L., Lauer, A., Righi, M., Schlund, M., Andela, B., . . . Zimmermann, K. (2020). Earth System Model Evaluation Tool (ESMValTool) v2.0-an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP. Geoscientific Model Development, 13(7), 3383-3438
Open this publication in new window or tab >>Earth System Model Evaluation Tool (ESMValTool) v2.0-an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP
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2020 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 13, no 7, p. 3383-3438Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-5831 (URN)10.5194/gmd-13-3383-2020 (DOI)000557882900003 ()
Available from: 2020-08-25 Created: 2020-08-25 Last updated: 2020-09-04Bibliographically approved
Docquier, D., Fuentes Franco, R., Koenigk, T. & Fichefet, T. (2020). Sea Ice-Ocean Interactions in the Barents Sea Modeled at Different Resolutions. Frontiers in Earth Science, 8, Article ID 172.
Open this publication in new window or tab >>Sea Ice-Ocean Interactions in the Barents Sea Modeled at Different Resolutions
2020 (English)In: Frontiers in Earth Science, E-ISSN 2296-6463, Vol. 8, article id 172Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-5774 (URN)10.3389/feart.2020.00172 (DOI)000542045600001 ()
Available from: 2020-08-17 Created: 2020-08-17 Last updated: 2023-08-28Bibliographically approved
Roberts, M. J., Jackson, L. C., Roberts, C. D., Meccia, V., Docquier, D., Koenigk, T., . . . Wu, L. (2020). Sensitivity of the Atlantic Meridional Overturning Circulation to Model Resolution in CMIP6 HighResMIP Simulations and Implications for Future Changes. Journal of Advances in Modeling Earth Systems, 12(8), Article ID e2019MS002014.
Open this publication in new window or tab >>Sensitivity of the Atlantic Meridional Overturning Circulation to Model Resolution in CMIP6 HighResMIP Simulations and Implications for Future Changes
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2020 (English)In: Journal of Advances in Modeling Earth Systems, ISSN 1942-2466, Vol. 12, no 8, article id e2019MS002014Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-5966 (URN)10.1029/2019MS002014 (DOI)000566209200030 ()
Available from: 2020-09-22 Created: 2020-09-22 Last updated: 2020-09-22Bibliographically approved
Ponsoni, L., Massonnet, F., Docquier, D., Van Achter, G. & Fichefet, T. (2020). Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations. The Cryosphere, 14(7), 2409-2428
Open this publication in new window or tab >>Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations
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2020 (English)In: The Cryosphere, ISSN 1994-0416, E-ISSN 1994-0424, Vol. 14, no 7, p. 2409-2428Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-5832 (URN)10.5194/tc-14-2409-2020 (DOI)000557334500001 ()
Available from: 2020-08-25 Created: 2020-08-25 Last updated: 2020-08-25Bibliographically approved
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ORCID iD: ORCID iD iconorcid.org/0000-0002-5720-4253

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