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    On the Relationship between Incremental Analysis Updating and Incremental Digital Filtering 

    Source: Monthly Weather Review:;2004:;volume( 132 ):;issue: 010:;page 2495
    Author(s): Polavarapu, Saroja; Ren, Shuzhan; Clayton, Adam M.; Sankey, David; Rochon, Yves
    Publisher: American Meteorological Society
    Abstract: Incremental analysis updating (IAU) refers to a method of smoothly inserting instantaneous analysis increments into a numerical model by spreading the increments over a time period. In this work, this method is shown to ...
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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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    Efficient Ensemble Covariance Localization in Variational Data Assimilation 

    Source: Monthly Weather Review:;2010:;volume( 139 ):;issue: 002:;page 573
    Author(s): Bishop, Craig H.; Hodyss, Daniel; Steinle, Peter; Sims, Holly; Clayton, Adam M.; Lorenc, Andrew C.; Barker, Dale M.; Buehner, Mark
    Publisher: American Meteorological Society
    Abstract: Previous descriptions of how localized ensemble covariances can be incorporated into variational (VAR) data assimilation (DA) schemes provide few clues as to how this might be done in an efficient way. This article serves ...
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    DSpace software copyright © 2002-2015  DuraSpace
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