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    The Canadian Seasonal to Interannual Prediction System. Part I: Models and Initialization

    Source: Monthly Weather Review:;2013:;volume( 141 ):;issue: 008::page 2910
    Author:
    Merryfield, William J.
    ,
    Lee, Woo-Sung
    ,
    Boer, George J.
    ,
    Kharin, Viatcheslav V.
    ,
    Scinocca, John F.
    ,
    Flato, Gregory M.
    ,
    Ajayamohan, R. S.
    ,
    Fyfe, John C.
    ,
    Tang, Youmin
    ,
    Polavarapu, Saroja
    DOI: 10.1175/MWR-D-12-00216.1
    Publisher: American Meteorological Society
    Abstract: he Canadian Seasonal to Interannual Prediction System (CanSIPS) became operational at Environment Canada's Canadian Meteorological Centre (CMC) in December 2011, replacing CMC's previous two-tier system. CanSIPS is a two-model forecasting system that combines ensemble forecasts from the Canadian Centre for Climate Modeling and Analysis (CCCma) Coupled Climate Model, versions 3 and 4 (CanCM3 and CanCM4, respectively). Mean climate as well as climate trends and variability in these models are evaluated in freely running historical simulations. Initial conditions for CanSIPS forecasts are obtained from an ensemble of coupled assimilation runs. These runs assimilate gridded atmospheric analyses by means of a procedure that resembles the incremental analysis update technique, but introduces only a fraction of the analysis increment in order that differences between ensemble members reflect the magnitude of observational uncertainties. The land surface is initialized through its response to the assimilative meteorology, whereas sea ice concentration and sea surface temperature are relaxed toward gridded observational values. The subsurface ocean is initialized through surface forcing provided by the assimilation run, together with an offline variational assimilation of gridded observational temperatures followed by an adjustment of the salinity field to preserve static stability. The performance of CanSIPS historical forecasts initialized every month over the period 1981?2010 is documented in a companion paper. The CanCM4 model and the initialization procedures developed for CanSIPS have been employed as well for decadal forecasts, including those contributing to phase 5 of the Coupled Model Intercomparison Project.
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      The Canadian Seasonal to Interannual Prediction System. Part I: Models and Initialization

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    contributor authorMerryfield, William J.
    contributor authorLee, Woo-Sung
    contributor authorBoer, George J.
    contributor authorKharin, Viatcheslav V.
    contributor authorScinocca, John F.
    contributor authorFlato, Gregory M.
    contributor authorAjayamohan, R. S.
    contributor authorFyfe, John C.
    contributor authorTang, Youmin
    contributor authorPolavarapu, Saroja
    date accessioned2017-06-09T17:30:33Z
    date available2017-06-09T17:30:33Z
    date copyright2013/08/01
    date issued2013
    identifier issn0027-0644
    identifier otherams-86456.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230016
    description abstracthe Canadian Seasonal to Interannual Prediction System (CanSIPS) became operational at Environment Canada's Canadian Meteorological Centre (CMC) in December 2011, replacing CMC's previous two-tier system. CanSIPS is a two-model forecasting system that combines ensemble forecasts from the Canadian Centre for Climate Modeling and Analysis (CCCma) Coupled Climate Model, versions 3 and 4 (CanCM3 and CanCM4, respectively). Mean climate as well as climate trends and variability in these models are evaluated in freely running historical simulations. Initial conditions for CanSIPS forecasts are obtained from an ensemble of coupled assimilation runs. These runs assimilate gridded atmospheric analyses by means of a procedure that resembles the incremental analysis update technique, but introduces only a fraction of the analysis increment in order that differences between ensemble members reflect the magnitude of observational uncertainties. The land surface is initialized through its response to the assimilative meteorology, whereas sea ice concentration and sea surface temperature are relaxed toward gridded observational values. The subsurface ocean is initialized through surface forcing provided by the assimilation run, together with an offline variational assimilation of gridded observational temperatures followed by an adjustment of the salinity field to preserve static stability. The performance of CanSIPS historical forecasts initialized every month over the period 1981?2010 is documented in a companion paper. The CanCM4 model and the initialization procedures developed for CanSIPS have been employed as well for decadal forecasts, including those contributing to phase 5 of the Coupled Model Intercomparison Project.
    publisherAmerican Meteorological Society
    titleThe Canadian Seasonal to Interannual Prediction System. Part I: Models and Initialization
    typeJournal Paper
    journal volume141
    journal issue8
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-12-00216.1
    journal fristpage2910
    journal lastpage2945
    treeMonthly Weather Review:;2013:;volume( 141 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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