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    Variational Data Assimilation with a Semi-Lagrangian Semi-implicit Global Shallow-Water Equation Model and Its Adjoint 

    Source: Monthly Weather Review:;1993:;volume( 121 ):;issue: 006:;page 1759
    Author(s): Li, Y.; Navon, I. M.; Courtier, P.; Gauthier, P.
    Publisher: American Meteorological Society
    Abstract: An adjoint model is developed for variational data assimilation using the 2D semi-Lagrangian semi-implicit (SLSI) shallow-water equation global model of Bates et al. with special attention being paid to the linearization ...
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    THORPEX Research and the Science of Prediction 

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 004:;page 807
    Author(s): Parsons, D. B.; Beland, M.; Burridge, D.; Bougeault, P.; Brunet, G.; Caughey, J.; Cavallo, S. M.; Charron, M.; Davies, H. C.; Niang, A. Diongue; Ducrocq, V.; Gauthier, P.; Hamill, T. M.; Harr, P. A.; Jones, S. C.; Langland, R. H.; Majumdar, S. J.; Mills, B. N.; Moncrieff, M.; Nakazawa, T.; Paccagnella, T.; Rabier, F.; Redelsperger, J.-L.; Riedel, C.; Saunders, R. W.; Shapiro, M. A.; Swinbank, R.; Szunyogh, I.; Thorncroft, C.; Thorpe, A. J.; Wang, X.; Waliser, D.; Wernli, H.; Toth, Z.
    Publisher: American Meteorological Society
    Abstract: he Observing System Research and Predictability Experiment (THORPEX) was a 10-yr, international research program organized by the World Meteorological Organization?s World Weather Research Program. THORPEX was motivated ...
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