Better-constrained climate sensitivity when accounting for dataset dependency on pattern effect estimates
The best estimate of equilibrium climate sensitivity (ECS) constrained based on the instrumental record of historical warming becomes coherent with other lines of evidence when the dependence of radiative feedback on the pattern of surface temperature change (pattern effect) is incorporated. Pattern...
Published in: | Atmospheric Chemistry and Physics |
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2023
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00067645 2023-07-30T04:06:46+02:00 Better-constrained climate sensitivity when accounting for dataset dependency on pattern effect estimates Modak, Angshuman Mauritsen, Thorsten 2023-07 electronic https://doi.org/10.5194/acp-23-7535-2023 https://noa.gwlb.de/receive/cop_mods_00067645 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00066094/acp-23-7535-2023.pdf https://acp.copernicus.org/articles/23/7535/2023/acp-23-7535-2023.pdf eng eng Copernicus Publications Atmospheric Chemistry and Physics -- http://www.atmos-chem-phys.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2069847 -- 1680-7324 https://doi.org/10.5194/acp-23-7535-2023 https://noa.gwlb.de/receive/cop_mods_00067645 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00066094/acp-23-7535-2023.pdf https://acp.copernicus.org/articles/23/7535/2023/acp-23-7535-2023.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/acp-23-7535-2023 2023-07-16T23:19:17Z The best estimate of equilibrium climate sensitivity (ECS) constrained based on the instrumental record of historical warming becomes coherent with other lines of evidence when the dependence of radiative feedback on the pattern of surface temperature change (pattern effect) is incorporated. Pattern effect strength is usually estimated with atmosphere-only model simulations forced with observed historical sea-surface temperature (SST) and sea-ice change and constant pre-industrial forcing. However, recent studies indicate that pattern effect estimates depend on the choice of SST boundary condition dataset, due to differences in the measurement sources and the techniques used to merge and construct them. Here, we systematically explore this dataset dependency by applying seven different observed SST datasets to the MPI-ESM1.2-LR model covering 1871–2017. We find that the pattern effect ranges from -0.01±0.09 to 0.42±0.10 W m−2 K−1 (standard error), whereby the commonly used Atmospheric Model Intercomparison Project II (AMIPII) dataset produces by far the largest estimate. When accounting for the generally weaker pattern effect in MPI-ESM1.2-LR compared to other models, as well as dataset dependency and intermodel spread, we obtain a combined pattern effect estimate of 0.37 W m−2 K−1 [−0.14 to 0.88 W m−2 K−1] (5th–95th percentiles) and a resulting instrumental record ECS estimate of 3.2 K [1.8 to 11.0 K], which as a result of the weaker pattern effect is slightly lower and better constrained than in previous studies. Article in Journal/Newspaper Sea ice Niedersächsisches Online-Archiv NOA Atmospheric Chemistry and Physics 23 13 7535 7549 |
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Niedersächsisches Online-Archiv NOA |
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English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Modak, Angshuman Mauritsen, Thorsten Better-constrained climate sensitivity when accounting for dataset dependency on pattern effect estimates |
topic_facet |
article Verlagsveröffentlichung |
description |
The best estimate of equilibrium climate sensitivity (ECS) constrained based on the instrumental record of historical warming becomes coherent with other lines of evidence when the dependence of radiative feedback on the pattern of surface temperature change (pattern effect) is incorporated. Pattern effect strength is usually estimated with atmosphere-only model simulations forced with observed historical sea-surface temperature (SST) and sea-ice change and constant pre-industrial forcing. However, recent studies indicate that pattern effect estimates depend on the choice of SST boundary condition dataset, due to differences in the measurement sources and the techniques used to merge and construct them. Here, we systematically explore this dataset dependency by applying seven different observed SST datasets to the MPI-ESM1.2-LR model covering 1871–2017. We find that the pattern effect ranges from -0.01±0.09 to 0.42±0.10 W m−2 K−1 (standard error), whereby the commonly used Atmospheric Model Intercomparison Project II (AMIPII) dataset produces by far the largest estimate. When accounting for the generally weaker pattern effect in MPI-ESM1.2-LR compared to other models, as well as dataset dependency and intermodel spread, we obtain a combined pattern effect estimate of 0.37 W m−2 K−1 [−0.14 to 0.88 W m−2 K−1] (5th–95th percentiles) and a resulting instrumental record ECS estimate of 3.2 K [1.8 to 11.0 K], which as a result of the weaker pattern effect is slightly lower and better constrained than in previous studies. |
format |
Article in Journal/Newspaper |
author |
Modak, Angshuman Mauritsen, Thorsten |
author_facet |
Modak, Angshuman Mauritsen, Thorsten |
author_sort |
Modak, Angshuman |
title |
Better-constrained climate sensitivity when accounting for dataset dependency on pattern effect estimates |
title_short |
Better-constrained climate sensitivity when accounting for dataset dependency on pattern effect estimates |
title_full |
Better-constrained climate sensitivity when accounting for dataset dependency on pattern effect estimates |
title_fullStr |
Better-constrained climate sensitivity when accounting for dataset dependency on pattern effect estimates |
title_full_unstemmed |
Better-constrained climate sensitivity when accounting for dataset dependency on pattern effect estimates |
title_sort |
better-constrained climate sensitivity when accounting for dataset dependency on pattern effect estimates |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/acp-23-7535-2023 https://noa.gwlb.de/receive/cop_mods_00067645 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00066094/acp-23-7535-2023.pdf https://acp.copernicus.org/articles/23/7535/2023/acp-23-7535-2023.pdf |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
Atmospheric Chemistry and Physics -- http://www.atmos-chem-phys.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2069847 -- 1680-7324 https://doi.org/10.5194/acp-23-7535-2023 https://noa.gwlb.de/receive/cop_mods_00067645 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00066094/acp-23-7535-2023.pdf https://acp.copernicus.org/articles/23/7535/2023/acp-23-7535-2023.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/acp-23-7535-2023 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
23 |
container_issue |
13 |
container_start_page |
7535 |
op_container_end_page |
7549 |
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1772819678181195776 |