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    Finding Ocean States That Are Consistent with Observations from a Perturbed Physics Parameter Ensemble

    Source: Journal of Climate:;2018:;volume 031:;issue 012::page 4639
    Author:
    Sparrow, Sarah
    ,
    Millar, Richard J.
    ,
    Yamazaki, Kuniko
    ,
    Massey, Neil
    ,
    Povey, Adam C.
    ,
    Bowery, Andy
    ,
    Grainger, Roy G.
    ,
    Wallom, David
    ,
    Allen, Myles
    DOI: 10.1175/JCLI-D-17-0514.1
    Publisher: American Meteorological Society
    Abstract: AbstractA very large ensemble is used to identify subgrid-scale parameter settings for the HadCM3 model that are capable of best simulating the ocean state over the recent past (1980?2010). A simple particle filtering technique based upon the agreement of basin mean sea surface temperature (SST) and upper 700-m ocean heat content with EN3 observations is applied to an existing perturbed physics ensemble with initial conditions perturbations. A single set of subgrid-scale parameter values was identified from the wide range of initial parameter sets that gave the best agreement with ocean observations for the period studied. The parameter set, different from the standard model parameters, has a transient climate response of 1.68 K. The selected parameter set shows an improved agreement with EN3 decadal-mean SST patterns and the Atlantic meridional overturning circulation (AMOC) at 26°N as measured by the Rapid Climate Change (RAPID) array. Particle filtering techniques as demonstrated here could have a useful role in improving the starting point for traditional model-tuning exercises in coupled climate models.
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      Finding Ocean States That Are Consistent with Observations from a Perturbed Physics Parameter Ensemble

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4262207
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    contributor authorSparrow, Sarah
    contributor authorMillar, Richard J.
    contributor authorYamazaki, Kuniko
    contributor authorMassey, Neil
    contributor authorPovey, Adam C.
    contributor authorBowery, Andy
    contributor authorGrainger, Roy G.
    contributor authorWallom, David
    contributor authorAllen, Myles
    date accessioned2019-09-19T10:09:37Z
    date available2019-09-19T10:09:37Z
    date copyright3/20/2018 12:00:00 AM
    date issued2018
    identifier otherjcli-d-17-0514.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4262207
    description abstractAbstractA very large ensemble is used to identify subgrid-scale parameter settings for the HadCM3 model that are capable of best simulating the ocean state over the recent past (1980?2010). A simple particle filtering technique based upon the agreement of basin mean sea surface temperature (SST) and upper 700-m ocean heat content with EN3 observations is applied to an existing perturbed physics ensemble with initial conditions perturbations. A single set of subgrid-scale parameter values was identified from the wide range of initial parameter sets that gave the best agreement with ocean observations for the period studied. The parameter set, different from the standard model parameters, has a transient climate response of 1.68 K. The selected parameter set shows an improved agreement with EN3 decadal-mean SST patterns and the Atlantic meridional overturning circulation (AMOC) at 26°N as measured by the Rapid Climate Change (RAPID) array. Particle filtering techniques as demonstrated here could have a useful role in improving the starting point for traditional model-tuning exercises in coupled climate models.
    publisherAmerican Meteorological Society
    titleFinding Ocean States That Are Consistent with Observations from a Perturbed Physics Parameter Ensemble
    typeJournal Paper
    journal volume31
    journal issue12
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-17-0514.1
    journal fristpage4639
    journal lastpage4656
    treeJournal of Climate:;2018:;volume 031:;issue 012
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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