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    Revisiting Whether Recent Surface Temperature Trends Agree with the CMIP5 Ensemble

    Source: Journal of Climate:;2016:;volume( 029 ):;issue: 024::page 8673
    Author:
    Lin, Marena
    ,
    Huybers, Peter
    DOI: 10.1175/JCLI-D-16-0123.1
    Publisher: American Meteorological Society
    Abstract: n an earlier study, a weaker trend in global mean temperature over the past 15 years relative to the preceding decades was characterized as significantly lower than those contained within the phase 5 of the Coupled Model Intercomparison Project (CMIP5) ensemble. In this study, divergence between model simulations and observations is estimated using a fixed-intercept linear trend with a slope estimator that has one-third the noise variance compared to simple linear regression. Following the approach of the earlier study, where intermodel spread is used to assess the distribution of trends, but using the fixed-intercept trend metric demonstrates that recently observed trends in global mean temperature are consistent with the CMIP5 ensemble for all 15-yr intervals of observation?model divergence since 1970. Significant clustering of global trends according to modeling center indicates that the spread in CMIP5 trends is better characterized using ensemble members drawn across models as opposed to using ensemble members from a single model. Despite model?observation consistency at the global level, substantial regional discrepancies in surface temperature trends remain.
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      Revisiting Whether Recent Surface Temperature Trends Agree with the CMIP5 Ensemble

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    contributor authorLin, Marena
    contributor authorHuybers, Peter
    date accessioned2017-06-09T17:13:14Z
    date available2017-06-09T17:13:14Z
    date copyright2016/12/01
    date issued2016
    identifier issn0894-8755
    identifier otherams-81283.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4224269
    description abstractn an earlier study, a weaker trend in global mean temperature over the past 15 years relative to the preceding decades was characterized as significantly lower than those contained within the phase 5 of the Coupled Model Intercomparison Project (CMIP5) ensemble. In this study, divergence between model simulations and observations is estimated using a fixed-intercept linear trend with a slope estimator that has one-third the noise variance compared to simple linear regression. Following the approach of the earlier study, where intermodel spread is used to assess the distribution of trends, but using the fixed-intercept trend metric demonstrates that recently observed trends in global mean temperature are consistent with the CMIP5 ensemble for all 15-yr intervals of observation?model divergence since 1970. Significant clustering of global trends according to modeling center indicates that the spread in CMIP5 trends is better characterized using ensemble members drawn across models as opposed to using ensemble members from a single model. Despite model?observation consistency at the global level, substantial regional discrepancies in surface temperature trends remain.
    publisherAmerican Meteorological Society
    titleRevisiting Whether Recent Surface Temperature Trends Agree with the CMIP5 Ensemble
    typeJournal Paper
    journal volume29
    journal issue24
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-16-0123.1
    journal fristpage8673
    journal lastpage8687
    treeJournal of Climate:;2016:;volume( 029 ):;issue: 024
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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