Use of high performance computing in meteorology : proceedings of the eleventh ECMWF Workshop on the Use of High Performance Computing in Meteorology : Reading, UK, 25-29 October 2004 /
Geosciences and, in particular, numerical weather prediction are demanding the highest levels of available computer power. The European Centre for Medium-Range Weather Forecasts, with its experience in using supercomputers in this field, organizes every other year a workshop bringing together manufa...
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Corporate Authors: | ; ; |
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Group Author: | ; |
Published: |
World Scientific Pub. Co.,
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Publisher Address: | Singapore ; Hackensack, N.J. : |
Publication Dates: | 2005. |
Literature type: | eBook |
Language: | English |
Subjects: | |
Online Access: |
http://www.worldscientific.com/worldscibooks/10.1142/5842#t=toc |
Summary: |
Geosciences and, in particular, numerical weather prediction are demanding the highest levels of available computer power. The European Centre for Medium-Range Weather Forecasts, with its experience in using supercomputers in this field, organizes every other year a workshop bringing together manufacturers, computer scientists, researchers and operational users to share their experiences and to learn about the latest developments. This volume provides an excellent overview of the latest achievements and plans for the use of new parallel techniques in the fields of meteorology, climatology an |
Carrier Form: | 1 online resource (viii,313pages) : illustrations (some color), color maps |
Bibliography: | Includes bibliographical references. |
ISBN: | 9789812701831 (electronic bk.) |
CLC: | P43-532 |
Contents: | Early experiences with the new IBM P690+ at ECMWF / Deborah Salmond, Sami Saarinen -- Creating science driven system architectures for large scale science / William T. C. Kramer -- Programming models and languages for high-productivity computing systems / Hans P. Zima -- Operation status of the earth simulator / Atsuya Uno -- Non-hydrostatic atmospheric GCM development and its computational performance / Keiko Takahashi ... [et al.] -- PDAF - the parallel data assimilation framework : experiences with Kalman filtering / L. Nerger, W. Hiller, J. Schr oter -- Optimal approximation of Kalman fi |