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      Global temperature modes shed light on the Holocene temperature conundrum

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          Abstract

          Reconstructions of the global mean annual temperature evolution during the Holocene yield conflicting results. One temperature reconstruction shows global cooling during the late Holocene. The other reconstruction reveals global warming. Here we show that both a global warming mode and a cooling mode emerge when performing a spatio-temporal analysis of annual temperature variability during the Holocene using data from a transient climate model simulation. The warming mode is most pronounced in the tropics. The simulated cooling mode is determined by changes in the seasonal cycle of Arctic sea-ice that are forced by orbital variations and volcanic eruptions. The warming mode dominates in the mid-Holocene, whereas the cooling mode takes over in the late Holocene. The weighted sum of the two modes yields the simulated global temperature trend evolution. Our findings have strong implications for the interpretation of proxy data and the selection of proxy locations to compute global mean temperatures.

          Abstract

          Proxy reconstructions show a decreasing trend from the Middle to Late Holocene, which conflicts with model results showing an increasing trend. Statistical analysis of model output shows that these conflicting results originate from two distinct modes of variability, which dominate at different regions and times.

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          Long-Term Variations of Daily Insolation and Quaternary Climatic Changes

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            Processes and impacts of Arctic amplification: A research synthesis

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              Atmospheric component of the MPI-M Earth System Model: ECHAM6

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                Author and article information

                Contributors
                juergen.bader@mpimet.mpg.de
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                18 September 2020
                18 September 2020
                2020
                : 11
                : 4726
                Affiliations
                [1 ]GRID grid.450268.d, ISNI 0000 0001 0721 4552, Max-Planck-Institut für Meteorologie, ; Hamburg, Germany
                [2 ]GRID grid.465508.a, Uni Climate, , Uni Research & the Bjerknes Centre for Climate Research, ; Bergen, Norway
                [3 ]GRID grid.435826.e, ISNI 0000 0001 2284 9011, Max-Planck-Institut für Sonnensystemforschung, ; Göttingen, Germany
                [4 ]GRID grid.9909.9, ISNI 0000 0004 1936 8403, School of Earth and Environment, , University of Leeds, ; Leeds, UK
                [5 ]GRID grid.15649.3f, ISNI 0000 0000 9056 9663, GEOMAR Helmholtz Centre for Ocean Research, ; Kiel, Germany
                [6 ]GRID grid.25152.31, ISNI 0000 0001 2154 235X, Institute of Space and Atmospheric Studies, University of Saskatchewan, ; Saskatoon, Saskatchewan Canada
                [7 ]GRID grid.9026.d, ISNI 0000 0001 2287 2617, Centrum für Erdsystemforschung und Nachhaltigkeit (CEN), , Universität Hamburg, ; Hamburg, Germany
                Author information
                http://orcid.org/0000-0001-9294-3169
                http://orcid.org/0000-0002-1377-3067
                http://orcid.org/0000-0002-6614-1127
                http://orcid.org/0000-0001-7977-5041
                http://orcid.org/0000-0002-7070-405X
                http://orcid.org/0000-0001-6225-5488
                Article
                18478
                10.1038/s41467-020-18478-6
                7501867
                32948766
                de5f39ba-3f7c-4af9-abfd-9323de328f0f
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 6 November 2018
                : 19 August 2020
                Funding
                Funded by: JPI Climate CLIMPRE InterDec 01LP1609A JPI Climate CLIMPRE PaCMEDy 01LP1607B
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                atmospheric science,atmospheric dynamics,palaeoclimate
                Uncategorized
                atmospheric science, atmospheric dynamics, palaeoclimate

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