Computational earthquake science. 2

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  • Computational earthquake science. 2 Book Detail

  • Author : Andrea Donnellan
  • Release Date : 2004-11-22
  • Publisher : Springer Science & Business Media
  • Genre : Nature
  • Pages : 360
  • ISBN 13 : 9783764371432
  • File Size : 52,52 MB

Computational earthquake science. 2 by Andrea Donnellan PDF Summary

Book Description: Exciting developments in earthquake science have benefited from new observations, improved computational technologies, and improved modeling capabilities. Designing models of the earthquake generation process is a grand scientific challenge due to the complexity of phenomena and range of scales involved from microscopic to global. Such models provide powerful new tools for the study of earthquake precursory phenomena and the earthquake cycle. Through workshops, collaborations and publications, the APEC Cooperation for Earthquake Simulations (ACES) aims to develop realistic supercomputer simulation models for the complete earthquake generation process, thus providing a "virtual laboratory" to probe earthquake behavior. Part II of the book embraces dynamic rupture and wave propagation, computational environment and algorithms, data assimilation and understanding, and applications of models to earthquakes. This part also contains articles on the computational approaches and challenges of constructing earthquake models.

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Computational earthquake science. 2

Computational earthquake science. 2

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Exciting developments in earthquake science have benefited from new observations, improved computational technologies, and improved modeling capabilities. Desig

Computational Earthquake Science Part I

Computational Earthquake Science Part I

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Exciting developments in earthquake science have benefited from new observations, improved computational technologies, and improved modeling capabilities. Desig

Computational Earthquake Science Part II

Computational Earthquake Science Part II

File Size : 62,62 MB
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Exciting developments in earthquake science have benefited from new observations, improved computational technologies, and improved modeling capabilities. Desig