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    How Well Do the CMIP5 Models Simulate the Antarctic Atmospheric Energy Budget?

    Source: Journal of Climate:;2015:;volume( 028 ):;issue: 020::page 7933
    Author:
    Previdi, Michael
    ,
    Smith, Karen L.
    ,
    Polvani, Lorenzo M.
    DOI: 10.1175/JCLI-D-15-0027.1
    Publisher: American Meteorological Society
    Abstract: he authors evaluate 23 coupled atmosphere?ocean general circulation models from phase 5 of CMIP (CMIP5) in terms of their ability to simulate the observed climatological mean energy budget of the Antarctic atmosphere. While the models are shown to capture the gross features of the energy budget well [e.g., the observed two-way balance between the top-of-atmosphere (TOA) net radiation and horizontal convergence of atmospheric energy transport], the simulated TOA absorbed shortwave (SW) radiation is too large during austral summer. In the multimodel mean, this excessive absorption reaches approximately 10 W m?2, with even larger biases (up to 25?30 W m?2) in individual models. Previous studies have identified similar climate model biases in the TOA net SW radiation at Southern Hemisphere midlatitudes and have attributed these biases to errors in the simulated cloud cover. Over the Antarctic, though, model cloud errors are of secondary importance, and biases in the simulated TOA net SW flux are instead driven mainly by biases in the clear-sky SW reflection. The latter are likely related in part to the models? underestimation of the observed annual minimum in Antarctic sea ice extent, thus underscoring the importance of sea ice in the Antarctic energy budget. Finally, substantial differences in the climatological surface energy fluxes between existing observational datasets preclude any meaningful assessment of model skill in simulating these fluxes.
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      How Well Do the CMIP5 Models Simulate the Antarctic Atmospheric Energy Budget?

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    contributor authorPrevidi, Michael
    contributor authorSmith, Karen L.
    contributor authorPolvani, Lorenzo M.
    date accessioned2017-06-09T17:11:56Z
    date available2017-06-09T17:11:56Z
    date copyright2015/10/01
    date issued2015
    identifier issn0894-8755
    identifier otherams-80966.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4223916
    description abstracthe authors evaluate 23 coupled atmosphere?ocean general circulation models from phase 5 of CMIP (CMIP5) in terms of their ability to simulate the observed climatological mean energy budget of the Antarctic atmosphere. While the models are shown to capture the gross features of the energy budget well [e.g., the observed two-way balance between the top-of-atmosphere (TOA) net radiation and horizontal convergence of atmospheric energy transport], the simulated TOA absorbed shortwave (SW) radiation is too large during austral summer. In the multimodel mean, this excessive absorption reaches approximately 10 W m?2, with even larger biases (up to 25?30 W m?2) in individual models. Previous studies have identified similar climate model biases in the TOA net SW radiation at Southern Hemisphere midlatitudes and have attributed these biases to errors in the simulated cloud cover. Over the Antarctic, though, model cloud errors are of secondary importance, and biases in the simulated TOA net SW flux are instead driven mainly by biases in the clear-sky SW reflection. The latter are likely related in part to the models? underestimation of the observed annual minimum in Antarctic sea ice extent, thus underscoring the importance of sea ice in the Antarctic energy budget. Finally, substantial differences in the climatological surface energy fluxes between existing observational datasets preclude any meaningful assessment of model skill in simulating these fluxes.
    publisherAmerican Meteorological Society
    titleHow Well Do the CMIP5 Models Simulate the Antarctic Atmospheric Energy Budget?
    typeJournal Paper
    journal volume28
    journal issue20
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-15-0027.1
    journal fristpage7933
    journal lastpage7942
    treeJournal of Climate:;2015:;volume( 028 ):;issue: 020
    contenttypeFulltext
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