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    Comments on “A Surrogate Ensemble Study of Climate Reconstruction Methods: Stochasticity and Robustness”

    Source: Journal of Climate:;2010:;volume( 023 ):;issue: 010::page 2832
    Author:
    Rutherford, Scott D.
    ,
    Mann, Michael E.
    ,
    Ammann, Caspar M.
    ,
    Wahl, Eugene R.
    DOI: 10.1175/2009JCLI3146.1
    Publisher: American Meteorological Society
    Abstract: In a recent paper, Christiansen et al. compared climate reconstruction methods using surrogate ensembles from a coupled general circulation model and pseudoproxies. Their results using the regularized expectation maximization method with truncated total least squares (RegEM-TTLS) appear inconsistent with previous studies. Results presented here show that the poor performance of RegEM-TTLS in Christiansen et al. is due to 1) their use of the nonhybrid method compared to the hybrid method; 2) a stagnation tolerance that is too large and does not permit the solution to stabilize, which is compounded in another paper by Christiansen et al. by the introduction of an inappropriate measure of stagnation; and 3) their use of a truncation parameter that is too large. Thus, the poor performance of RegEM-TTLS in both Christiansen et al. papers is due to poor implementation of the method rather than to shortcomings inherent to the method.
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      Comments on “A Surrogate Ensemble Study of Climate Reconstruction Methods: Stochasticity and Robustness”

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4210536
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    contributor authorRutherford, Scott D.
    contributor authorMann, Michael E.
    contributor authorAmmann, Caspar M.
    contributor authorWahl, Eugene R.
    date accessioned2017-06-09T16:29:51Z
    date available2017-06-09T16:29:51Z
    date copyright2010/05/01
    date issued2010
    identifier issn0894-8755
    identifier otherams-68924.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4210536
    description abstractIn a recent paper, Christiansen et al. compared climate reconstruction methods using surrogate ensembles from a coupled general circulation model and pseudoproxies. Their results using the regularized expectation maximization method with truncated total least squares (RegEM-TTLS) appear inconsistent with previous studies. Results presented here show that the poor performance of RegEM-TTLS in Christiansen et al. is due to 1) their use of the nonhybrid method compared to the hybrid method; 2) a stagnation tolerance that is too large and does not permit the solution to stabilize, which is compounded in another paper by Christiansen et al. by the introduction of an inappropriate measure of stagnation; and 3) their use of a truncation parameter that is too large. Thus, the poor performance of RegEM-TTLS in both Christiansen et al. papers is due to poor implementation of the method rather than to shortcomings inherent to the method.
    publisherAmerican Meteorological Society
    titleComments on “A Surrogate Ensemble Study of Climate Reconstruction Methods: Stochasticity and Robustness”
    typeJournal Paper
    journal volume23
    journal issue10
    journal titleJournal of Climate
    identifier doi10.1175/2009JCLI3146.1
    journal fristpage2832
    journal lastpage2838
    treeJournal of Climate:;2010:;volume( 023 ):;issue: 010
    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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