Earth System Modelling - Volume 2 electronic resource Algorithms, Code Infrastructure and Optimisation / by Luca Bonaventura, René Redler, Reinhard Budich.
Material type: TextSeries: SpringerBriefs in Earth System SciencesPublication details: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Description: XI, 96p. 20 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642238314Subject(s): geography | Computer simulation | Computer science -- Mathematics | earth sciences | Earth Sciences, general | Simulation and Modeling | Computational Mathematics and Numerical AnalysisDDC classification: 550 LOC classification: GB3-5030QE1-996.5Online resources: Click here to access online In: Springer eBooksSummary: Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the historical development, state of the art and future perspectives of the mathematical techniques employed for numerical approximation of the equations describing atmospheric and oceanic motion. Furthermore, it describes the main computer science and software engineering strategies employed to turn these mathematical methods into effective tools for understanding earth's climate and forecasting its evolution. These methods and the resulting computer algorithms lie at the core of earth system models and are essential for their effectiveness and predictive skill.Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the historical development, state of the art and future perspectives of the mathematical techniques employed for numerical approximation of the equations describing atmospheric and oceanic motion. Furthermore, it describes the main computer science and software engineering strategies employed to turn these mathematical methods into effective tools for understanding earth's climate and forecasting its evolution. These methods and the resulting computer algorithms lie at the core of earth system models and are essential for their effectiveness and predictive skill.
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