Abstract
We describe in this paper the parallelization of data assimilation in meteorology. We present two ways of parallelizing this algorithm and report experiments and results.
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© 1994 Springer-Verlag Berlin Heidelberg
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Trémolet, Y., Le Dimet, F.X., Trystram, D. (1994). Parallelization of scientific applications: Data assimilation in meteorology. In: Gentzsch, W., Harms, U. (eds) High-Performance Computing and Networking. HPCN-Europe 1994. Lecture Notes in Computer Science, vol 796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020392
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DOI: https://doi.org/10.1007/BFb0020392
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-57980-9
Online ISBN: 978-3-540-48406-6
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