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    An Efficient Stochastic Bayesian Approach to Optimal Parameter and Uncertainty Estimation for Climate Model Predictions 

    Source: Journal of Climate:;2004:;volume( 017 ):;issue: 014:;page 2828
    Author(s): Jackson, Charles; Sen, Mrinal K.; Stoffa, Paul L.
    Publisher: American Meteorological Society
    Abstract: One source of uncertainty for climate model predictions arises from the fact that climate models have been optimized to reproduce observational means. To quantify the uncertainty resulting from a realistic range of model ...
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    Error Reduction and Convergence in Climate Prediction 

    Source: Journal of Climate:;2008:;volume( 021 ):;issue: 024:;page 6698
    Author(s): Jackson, Charles S.; Sen, Mrinal K.; Huerta, Gabriel; Deng, Yi; Bowman, Kenneth P.
    Publisher: American Meteorological Society
    Abstract: Although climate models have steadily improved their ability to reproduce the observed climate, over the years there has been little change to the wide range of sensitivities exhibited by different models to a doubling of ...
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    Multidataset Study of Optimal Parameter and Uncertainty Estimation of a Land Surface Model with Bayesian Stochastic Inversion and Multicriteria Method 

    Source: Journal of Applied Meteorology:;2004:;volume( 043 ):;issue: 010:;page 1477
    Author(s): Xia, Youlong; Sen, Mrinal K.; Jackson, Charles S.; Stoffa, Paul L.
    Publisher: American Meteorological Society
    Abstract: This study evaluates the ability of Bayesian stochastic inversion (BSI) and multicriteria (MC) methods to search for the optimal parameter sets of the Chameleon Surface Model (CHASM) using prescribed forcing to simulate ...
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