Adaptive atmospheric modeling : key techniques in grid generation, data structures, and numerical operations with applications
This work represents the essence of nearly 16 years of work in scienti?c c- puting for ocean and atmospheric modeling. This journey started at Alfred- Wegener-Institute for Polar and Marine Research in Bremerhaven, Germany, where as a post graduate I was assigned to optimize multi-grid solvers for e...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2006. |
| Serie: | Lecture Notes in Computational Science and Engineering
54 |
| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Description d'après consultation du 1er mars 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Adaptive Atmospheric Modeling, Texte imprimé, 9783540822660 • Adaptive atmospheric modeling, key techniques in grid generation, data structures, and numerical operations with applications, Jörn Behrens, Berlin, Springer-Verlag, 2006, 1 vol. (xvii-207 p.), Lecture notes in computational science and engineering, 3-540-33382-7 |
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| 100 | 1 | |a Behrens, Jörn. | |
| 245 | 1 | 0 | |a Adaptive atmospheric modeling : |b key techniques in grid generation, data structures, and numerical operations with applications |c Jörn Behrens. |
| 250 | |a 1st ed. 2006. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture Notes in Computational Science and Engineering |v 54 |x 2197-7100 | |
| 500 | |a Description d'après consultation du 1er mars 2011 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Notes bibliogr. Index | ||
| 505 | 1 | |a Principles of Adaptive Atmospheric Modeling Grid Generation Data Structures for Computational Efficiency Issues in Parallelization of Irregularly Structured Problems Numerical Treatment of Differential Operators on Adaptive Grids Discretization of Conservation Laws Example Applications Conclusions Some Basic Mathematical Tools Metrics for Parallelizing Irregularly Structured Problems Rotating Shallow Water Equations in Spherical Geometries | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This work represents the essence of nearly 16 years of work in scienti?c c- puting for ocean and atmospheric modeling. This journey started at Alfred- Wegener-Institute for Polar and Marine Research in Bremerhaven, Germany, where as a post graduate I was assigned to optimize multi-grid solvers for ellipticpartialdi?erentialequationsevolvingfromoceanmodeling. Iamlucky and grateful that I had the chance to go all that way, to have the opportunity to explore the subject from many di?erent angles, to have wonderful teachers and colleagues, and to have the chance to work and visit such exquisit places as theNational Center for Atmospheric Research in Boulder, Colorado, USA, the Frontier Research System for Global Change at the Yokohama Institute for Earth Science (Earth Simulator) in Yokohama, Japan, the Max-Planck- Institute for Meteorology in Hamburg, Germany, the aforementioned Alfred- Wegener-Institute for Polar and Marine Research in Bremerhaven and Po- dam, Germany, the Technische Universit at Munchen in Garching, Germany, the Fields Institute in Toronto, Canada, the Naval Research Laboratory in Monterey, California, USA, the Department of Informatics at the University ofBergen,NorwayandtheCentreforMathematicalSciencesattheUniversity of Cambridge, UK, to name only the most in?uential ones. My own interest in adaptive methods arose from the exploration of ?nite element methods. When comparing ?nite elements on simple model problems with ?nite di?erences, the former method is often disregarded for compu- tional e?ciency and implementation complexity issues | ||
| 650 | |a Atmosphère |x Méthodes de simulation | ||
| 650 | |a Physique de l'atmosphère |x Modèles mathématiques | ||
| 776 | 0 | |t Adaptive Atmospheric Modeling |b Texte imprimé |z 9783540822660 | |
| 776 | 0 | |0 11370416X |t Adaptive atmospheric modeling |o key techniques in grid generation, data structures, and numerical operations with applications |f Jörn Behrens |c Berlin |n Springer-Verlag |d 2006 |p 1 vol. (xvii-207 p.) |s Lecture notes in computational science and engineering |z 3-540-33382-7 | |
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