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...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Modak, Angshuman, Mauritsen, Thorsten
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2023
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Online Access:https://doi.org/10.5194/acp-23-7535-2023
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spelling 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
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle 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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