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    Explicitly Accounting for Observation Error in Categorical Verification of Forecasts 

    Source: Monthly Weather Review:;2006:;volume( 134 ):;issue: 006:;page 1600
    Author(s): Bowler, Neill E.
    Publisher: American Meteorological Society
    Abstract: Given an accurate representation of errors in observations it is possible to remove the effect of those errors from categorical verification scores. The errors in the observations are treated as additive white noise that ...
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    The Benefits of Multianalysis and Poor Man’s Ensembles 

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 011:;page 4113
    Author(s): Bowler, Neill E.; Arribas, Alberto; Mylne, Kenneth R.
    Publisher: American Meteorological Society
    Abstract: A new approach to probabilistic forecasting is proposed, based on the generation of an ensemble of equally likely analyses of the current state of the atmosphere. The rationale behind this approach is to mimic a poor man?s ...
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    Comparison of Hybrid-4DEnVar and Hybrid-4DVar Data Assimilation Methods for Global NWP 

    Source: Monthly Weather Review:;2014:;volume( 143 ):;issue: 001:;page 212
    Author(s): Lorenc, Andrew C.; Bowler, Neill E.; Clayton, Adam M.; Pring, Stephen R.; Fairbairn, David
    Publisher: American Meteorological Society
    Abstract: he Met Office has developed an ensemble-variational data assimilation method (hybrid-4DEnVar) as a potential replacement for the hybrid four-dimensional variational data assimilation (hybrid-4DVar), which is the current ...
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    DSpace software copyright © 2002-2015  DuraSpace
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