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    Northern Hemisphere Atmospheric Blocking Representation in Global Climate Models: Twenty Years of Improvements?

    Source: Journal of Climate:;2016:;volume( 029 ):;issue: 024::page 8823
    Author:
    Davini, Paolo
    ,
    D’Andrea, Fabio
    DOI: 10.1175/JCLI-D-16-0242.1
    Publisher: American Meteorological Society
    Abstract: he correct simulation of midlatitude atmospheric blocking has always been a main concern since the earliest days of numerical modeling of Earth?s atmosphere. To this day blocking represents a considerable source of error for general circulation models from both a numerical weather prediction and a climate perspective. In the present work, 20 years of global climate model (GCM) developments are analyzed from the special point of view of Northern Hemisphere atmospheric blocking simulation. Making use of a series of equivalent metrics, three generations of GCMs are compared. This encompasses a total of 95 climate models, many of which are different?successive?versions of the same model. Results from model intercomparison projects AMIP1 (1992), CMIP3 (2007), and CMIP5 (2012) are taken into consideration. Although large improvements are seen over the Pacific Ocean, only minor advancements have been achieved over the Euro-Atlantic sector. Some of the most recent GCMs still exhibit the same negative bias as 20 years ago in this region, associated with large geopotential height systematic errors. Some individual models, nevertheless, have improved and do show good performances in both sectors. Negligible differences emerge among ocean-coupled or atmosphere-only simulations, suggesting weak relevance of sea surface temperature biases. Conversely, increased horizontal resolution seems to be able to alleviate the Euro-Atlantic blocking bias.
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      Northern Hemisphere Atmospheric Blocking Representation in Global Climate Models: Twenty Years of Improvements?

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    contributor authorDavini, Paolo
    contributor authorD’Andrea, Fabio
    date accessioned2017-06-09T17:13:18Z
    date available2017-06-09T17:13:18Z
    date copyright2016/12/01
    date issued2016
    identifier issn0894-8755
    identifier otherams-81301.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4224288
    description abstracthe correct simulation of midlatitude atmospheric blocking has always been a main concern since the earliest days of numerical modeling of Earth?s atmosphere. To this day blocking represents a considerable source of error for general circulation models from both a numerical weather prediction and a climate perspective. In the present work, 20 years of global climate model (GCM) developments are analyzed from the special point of view of Northern Hemisphere atmospheric blocking simulation. Making use of a series of equivalent metrics, three generations of GCMs are compared. This encompasses a total of 95 climate models, many of which are different?successive?versions of the same model. Results from model intercomparison projects AMIP1 (1992), CMIP3 (2007), and CMIP5 (2012) are taken into consideration. Although large improvements are seen over the Pacific Ocean, only minor advancements have been achieved over the Euro-Atlantic sector. Some of the most recent GCMs still exhibit the same negative bias as 20 years ago in this region, associated with large geopotential height systematic errors. Some individual models, nevertheless, have improved and do show good performances in both sectors. Negligible differences emerge among ocean-coupled or atmosphere-only simulations, suggesting weak relevance of sea surface temperature biases. Conversely, increased horizontal resolution seems to be able to alleviate the Euro-Atlantic blocking bias.
    publisherAmerican Meteorological Society
    titleNorthern Hemisphere Atmospheric Blocking Representation in Global Climate Models: Twenty Years of Improvements?
    typeJournal Paper
    journal volume29
    journal issue24
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-16-0242.1
    journal fristpage8823
    journal lastpage8840
    treeJournal of Climate:;2016:;volume( 029 ):;issue: 024
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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