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      Attribution of extreme weather and climate‐related events

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          Abstract

          Extreme weather and climate‐related events occur in a particular place, by definition, infrequently. It is therefore challenging to detect systematic changes in their occurrence given the relative shortness of observational records. However, there is a clear interest from outside the climate science community in the extent to which recent damaging extreme events can be linked to human‐induced climate change or natural climate variability. Event attribution studies seek to determine to what extent anthropogenic climate change has altered the probability or magnitude of particular events. They have shown clear evidence for human influence having increased the probability of many extremely warm seasonal temperatures and reduced the probability of extremely cold seasonal temperatures in many parts of the world. The evidence for human influence on the probability of extreme precipitation events, droughts, and storms is more mixed. Although the science of event attribution has developed rapidly in recent years, geographical coverage of events remains patchy and based on the interests and capabilities of individual research groups. The development of operational event attribution would allow a more timely and methodical production of attribution assessments than currently obtained on an ad hoc basis. For event attribution assessments to be most useful, remaining scientific uncertainties need to be robustly assessed and the results clearly communicated. This requires the continuing development of methodologies to assess the reliability of event attribution results and further work to understand the potential utility of event attribution for stakeholder groups and decision makers. WIREs Clim Change 2016, 7:23–41. doi: 10.1002/wcc.380

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          Most cited references42

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          Land-atmosphere coupling and climate change in Europe.

          Increasing greenhouse gas concentrations are expected to enhance the interannual variability of summer climate in Europe and other mid-latitude regions, potentially causing more frequent heatwaves. Climate models consistently predict an increase in the variability of summer temperatures in these areas, but the underlying mechanisms responsible for this increase remain uncertain. Here we explore these mechanisms using regional simulations of recent and future climatic conditions with and without land-atmosphere interactions. Our results indicate that the increase in summer temperature variability predicted in central and eastern Europe is mainly due to feedbacks between the land surface and the atmosphere. Furthermore, they suggest that land-atmosphere interactions increase climate variability in this region because climatic regimes in Europe shift northwards in response to increasing greenhouse gas concentrations, creating a new transitional climate zone with strong land-atmosphere coupling in central and eastern Europe. These findings emphasize the importance of soil-moisture-temperature feedbacks (in addition to soil-moisture-precipitation feedbacks) in influencing summer climate variability and the potential migration of climate zones with strong land-atmosphere coupling as a consequence of global warming. This highlights the crucial role of land-atmosphere interactions in future climate change.
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            Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes

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              Atmospheric circulation as a source of uncertainty in climate change projections

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                Author and article information

                Journal
                Wiley Interdiscip Rev Clim Change
                Wiley Interdiscip Rev Clim Change
                10.1002/(ISSN)1757-7799
                WCC
                Wiley Interdisciplinary Reviews. Climate Change
                John Wiley & Sons, Inc. (Hoboken, USA )
                1757-7780
                1757-7799
                16 December 2015
                January 2016
                : 7
                : 1 ( doiID: 10.1002/wcc.2016.7.issue-1 )
                : 23-41
                Affiliations
                [ 1 ] Hadley CentreMet Office ExeterUK
                [ 2 ] Centre for the EnvironmentOxford University OxfordUK
                [ 3 ] National Climate CenterChina Meteorological Adminstration BeijingChina
                [ 4 ]Observatoire de Versailles Saint‐Quentin‐en‐Yvelines for University of Versailles VersaillesFrance
                [ 5 ] Weather and Climate ModelingKoninklijk Nederlands Meteorologisch Instituut De BiltNetherlands
                [ 6 ]Laboratoire des Sciences du Climat et de l'Environnement for Centre National de la recherche scientifique (CNRS) ParisFrance
                [ 7 ]Institut für Küstenforschung GeesthachtGermany
                [ 8 ]Extrèmes : Statistiques, Impacts et Régionalisation in the Laboratoire des Sciences du Climat et de l'Environment Gif‐sur‐YvetteFrance
                [ 9 ]Pacific Climate Impacts Consortium VictoriaCanada
                Author notes
                [*] [* ]Correspondence to: peter.stott@ 123456metoffice.gov.uk
                Article
                WCC380
                10.1002/wcc.380
                4739554
                26877771
                4ab29b1f-dd1f-4bc7-9b6e-5c7a2173b4d7
                © 2015 The Authors. WIREs Climate Change published by Wiley Periodicals, Inc.

                This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 30 May 2015
                : 14 September 2015
                : 15 October 2015
                Page count
                Pages: 19
                Funding
                Funded by: EUCLEIA (EUropean Climate and weather Events: Interpretation and Attribution)
                Award ID: 607085
                Funded by: UK‐China Research & Innovation Partnership Fund
                Funded by: Joint UK DECC/Defra Met Office Hadley Centre Climate Programme
                Award ID: GA01101
                Funded by: ERC
                Award ID: 338965‐A2C2
                Funded by: Chinese programs
                Award ID: 2012CB417205
                Award ID: YHY201406020
                Categories
                Detection and Attribution
                Knowledge Generation with Models
                Overview
                Overviews
                Custom metadata
                2.0
                wcc380
                wcc380-hdr-0001
                January/February 2016
                Converter:WILEY_ML3GV2_TO_NLMPMC version:4.7.5 mode:remove_FC converted:28.01.2016

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