Skip to main content

Parallelization of scientific applications: Data assimilation in meteorology

  • Conference paper
  • First Online:
Book cover High-Performance Computing and Networking (HPCN-Europe 1994)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 796))

Included in the following conference series:

  • 160 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. A. Geist, A. Beguelin, J. Dongarra, W. Jiang, R. Manchek and V. Sunderam. PVM 3 user's guide and reference manual, 1993.

    Google Scholar 

  2. Ron S. Dembo and Trond Steihaug. Truncated-Newton algorithms for large-scale unconstrained optimization. Mathematical Programming, 26:190–212, 1983.

    Google Scholar 

  3. F.X. Le Dimet and O. Talagrand. Variational algorithms for analysis and assimilation of meteorological observations: Theoretical aspects. Tellus, 38A:97–110, 1986.

    Google Scholar 

  4. L. Colombet, L. Desbat, L. Gautier, F. Ménard, Y. Trémolet and D. Trystram. Industrial and Scientific Applications using PVM. Parallel CFD'93.

    Google Scholar 

  5. Z. Wang, I. M. Navon, F.X. Le Dimet and X. Zou. The second order adjoint analysis: theory and applications. Meteorology and atmospheric physics, 1992.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Wolfgang Gentzsch Uwe Harms

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/BFb0020392

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57980-9

  • Online ISBN: 978-3-540-48406-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics