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Computer Modelling in Atmospheric and Oceanic Sciences: Potential and Reliability

By: P Müller and H von Storch

Springer-Verlag

Hardback | Dec 2004 | #149654 | ISBN: 3540203532
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NHBS Price: £117.00 $149/€140 approx

About this book

This textbook is about quasi-realistic models in atmospheric and oceanic sciences. Understanding the basis and limitations of these models is important since far reaching decisions about the environment are based upon them. This book goes beyond a technical discussion of these quasi-realistic models and emphasizes their role and utility in generating new useful knowledge about the system under study.

From the reviews: "Peter Muller and Hans Von Storch present ... a collection of concepts and limitations for simulating atmospheric and oceanic processes. ! Most statements given in the book are explained and carefully supported by selected examples. ! The numerous examples and applications make the book remarkably demonstrative and easy to read. ! It is aimed at graduates students and scientists in the field of environmental sciences. I completely agree to this suggestion. They will certainly benefit from this book." (R. Scheirer, Meteorologische Zeitschrift, Vol. 15 (6), 2006)


Contents

Introduction: Models; Environmental systems; Tides and climate; Quasi-realistic computer models; Application; Issues.- Computer Models: Dynamics; Numerics; Computers; Models as dynamical systems; Models as stochastic systems; Predictability.- Models and Data: Validation; Data assimilation; Calibration.- Tides and Climate: Tidal system; The climate system.- Modelling in Applied Environmental Sciences - Forecasting, Analysis and Scenarios: Introduction; Predictions and forecasts; Data analysis; Scenarios; Secondary applications.- Application in Fundamental Science - Simulation and Hypothesis Testing: Introduction; Hypothesis testing; Specification of reduced models; Simulating the unobservable.- Conclusions: Issue: Trustworthiness; Issue: Reduction of information; Issue: Social and psychological conditioning; New and old models; Further issues; Final conclusions.

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