Format:
Online-Ressource (XV, 304 p)
,
digital
Edition:
Springer eBook Collection. Earth and Environmental Science
ISBN:
9783662063811
Content:
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 on these models. It is novel in that it goes beyond a technical discussion of these quasi-realistic models and emphasizes their role and utility in generating new useful knowledge about the system. The book is written in a generally understandable way, with technical details relegated to a set of comprehensive appendices. The line of reasoning is illustrated by numerous examples, from both applied and fundamental research. It is a source of information for graduate students and scientists alike working in the field of environmental sciences
Note:
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.
Additional Edition:
ISBN 9783642057953
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783642057953
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783540203537
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783662063828
Language:
English
DOI:
10.1007/978-3-662-06381-1
URL:
Volltext
(lizenzpflichtig)
