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    A New HadGEM3-A-Based System for Attribution of Weather- and Climate-Related Extreme Events

    Source: Journal of Climate:;2012:;volume( 026 ):;issue: 009::page 2756
    Author:
    Christidis, Nikolaos
    ,
    Stott, Peter A.
    ,
    Scaife, Adam A.
    ,
    Arribas, Alberto
    ,
    Jones, Gareth S.
    ,
    Copsey, Dan
    ,
    Knight, Jeff R.
    ,
    Tennant, Warren J.
    DOI: 10.1175/JCLI-D-12-00169.1
    Publisher: American Meteorological Society
    Abstract: new system for attribution of weather and climate extreme events has been developed based on the atmospheric component of the latest Hadley Centre model. The model is run with either observational data of sea surface temperature and sea ice or estimates of what their values would be without the effect of anthropogenic climatic forcings. In that way, ensembles of simulations are produced that represent the climate with and without the effect of human influences. A comparison between the ensembles provides estimates of the change in the frequency of extremes due to anthropogenic forcings. To evaluate the new system, reliability diagrams are constructed, which compare the model-derived probability of extreme events with their observed frequency. The ability of the model to reproduce realistic distributions of relevant climatic variables is another key aspect of the system evaluation. Results are then presented from analyses of three recent high-impact events: the 2009/10 cold winter in the United Kingdom, the heat wave in Moscow in July 2010, and floods in Pakistan in July 2010. An evaluation assessment indicates the model can provide reliable results for the U.K. and Moscow events but not for Pakistan. It is found that without anthropogenic forcings winters in the United Kingdom colder than 2009/10 would be 7?10 times (best estimate) more common. Although anthropogenic forcings increase the likelihood of heat waves in Moscow, the 2010 event is found to be very uncommon and associated with a return time of several hundred years. No reliable attribution assessment can be made for high-precipitation events in Pakistan.
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      A New HadGEM3-A-Based System for Attribution of Weather- and Climate-Related Extreme Events

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    contributor authorChristidis, Nikolaos
    contributor authorStott, Peter A.
    contributor authorScaife, Adam A.
    contributor authorArribas, Alberto
    contributor authorJones, Gareth S.
    contributor authorCopsey, Dan
    contributor authorKnight, Jeff R.
    contributor authorTennant, Warren J.
    date accessioned2017-06-09T17:06:17Z
    date available2017-06-09T17:06:17Z
    date copyright2013/05/01
    date issued2012
    identifier issn0894-8755
    identifier otherams-79451.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4222232
    description abstractnew system for attribution of weather and climate extreme events has been developed based on the atmospheric component of the latest Hadley Centre model. The model is run with either observational data of sea surface temperature and sea ice or estimates of what their values would be without the effect of anthropogenic climatic forcings. In that way, ensembles of simulations are produced that represent the climate with and without the effect of human influences. A comparison between the ensembles provides estimates of the change in the frequency of extremes due to anthropogenic forcings. To evaluate the new system, reliability diagrams are constructed, which compare the model-derived probability of extreme events with their observed frequency. The ability of the model to reproduce realistic distributions of relevant climatic variables is another key aspect of the system evaluation. Results are then presented from analyses of three recent high-impact events: the 2009/10 cold winter in the United Kingdom, the heat wave in Moscow in July 2010, and floods in Pakistan in July 2010. An evaluation assessment indicates the model can provide reliable results for the U.K. and Moscow events but not for Pakistan. It is found that without anthropogenic forcings winters in the United Kingdom colder than 2009/10 would be 7?10 times (best estimate) more common. Although anthropogenic forcings increase the likelihood of heat waves in Moscow, the 2010 event is found to be very uncommon and associated with a return time of several hundred years. No reliable attribution assessment can be made for high-precipitation events in Pakistan.
    publisherAmerican Meteorological Society
    titleA New HadGEM3-A-Based System for Attribution of Weather- and Climate-Related Extreme Events
    typeJournal Paper
    journal volume26
    journal issue9
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-12-00169.1
    journal fristpage2756
    journal lastpage2783
    treeJournal of Climate:;2012:;volume( 026 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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