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    A Practical Approximation to Optimal Four-Dimensional Objective Analysis 

    Source: Monthly Weather Review:;1988:;volume( 116 ):;issue: 003:;page 730
    Author(s): Lorenc, Andrew C.
    Publisher: American Meteorological Society
    Abstract: An iterative four-dimensional objective analysis scheme is described. The method is derived by approximating a variational algorithm which should give an optimal four-dimensional analysis The complete set of operationally ...
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    Ensemble–Variational Integrated Localized Data Assimilation 

    Source: Monthly Weather Review:;2016:;volume( 144 ):;issue: 010:;page 3677
    Author(s): Auligné, Thomas; Ménétrier, Benjamin; Lorenc, Andrew C.; Buehner, Mark
    Publisher: American Meteorological Society
    Abstract: ybrid variational?ensemble data assimilation (hybrid DA) is widely used in research and operational systems, and it is considered the current state of the art for the initialization of numerical weather prediction models. ...
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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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    Collaboration of the Weather and Climate Communities to Advance Subseasonal-to-Seasonal Prediction 

    Source: Bulletin of the American Meteorological Society:;2010:;volume( 091 ):;issue: 010:;page 1397
    Author(s): Brunet, Gilbert; Shapiro, Melvyn; Hoskins, Brian; Moncrieff, Mitch; Dole, Randall; Kiladis, George N.; Kirtman, Ben; Lorenc, Andrew; Mills, Brian; Morss, Rebecca; Polavarapu, Saroja; Rogers, David; Schaake, John; Shukla, Jagadish
    Publisher: American Meteorological Society
    Abstract: Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP) have identified collaborations and scientific priorities to accelerate advances in analysis and prediction at subseasonal-to-seasonal time ...
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    Lidar-Measured Winds from Space: A Key Component for Weather and Climate Prediction 

    Source: Bulletin of the American Meteorological Society:;1995:;volume( 076 ):;issue: 006:;page 869
    Author(s): Baker, Wayman E.; Emmitt, George D.; Robertson, Franklin; Atlas, Robert M.; Molinari, John E.; Bowdle, David A.; Paegle, Jan; Hardesty, R. Michael; Post, Madison J.; Menzies, Robert T.; Krishnamurti, T. N.; Brown, Robert A.; Anderson, John R.; Lorenc, Andrew C.; McElroy, James
    Publisher: American Meteorological Society
    Abstract: The deployment of a space-based Doppler lidar would provide information that is fundamental to advancing the understanding and prediction of weather and climate. This paper reviews the concepts of wind measurement by Doppler ...
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