Environmental Modelling: An Uncertain Future?
Autor Keith Bevenen Limba Engleză Hardback – 21 iul 2008
Environmental Modelling: An Uncertain Future? introduces students, scientists and decision makers to:
- the different concepts and techniques of uncertainty estimation in environmental prediction
- the philosophical background to different concepts of uncertainty
- the constraint of uncertainties by the collection of observations and data assimilation in real-time forecasting
- techniques for decision making under uncertainty.
A companion website for the book can be found at www.uncertain-future.org.uk
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Specificații
ISBN-13: 9780415463027
ISBN-10: 0415463025
Pagini: 328
Ilustrații: 1 black & white tables, 6 black & white halftones, 69 black & white line drawings
Dimensiuni: 174 x 246 x 23 mm
Greutate: 0.77 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 0415463025
Pagini: 328
Ilustrații: 1 black & white tables, 6 black & white halftones, 69 black & white line drawings
Dimensiuni: 174 x 246 x 23 mm
Greutate: 0.77 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
PostgraduateCuprins
1. How to Make Predictions 2. A Philosophical Diversion 3. Simulation with No Historical Data Available 4. Simulation with Historical Data Available 5. Forecasting the Near Future 6. Decision Making When Faced with Uncertainty 7. An Uncertain Future?
Notă biografică
Keith Beven is Professor of Hydrology and Fluid Dynamics at Lancaster University. While finishing this book he was at Uppsala University in Sweden as Konung Carl XVI Gustafs Gästprofessor i Miljövetenskap 2006/07.
Descriere
Uncertainty in the predictions of science when applied to the environment is an issue of great current relevance. Major topics of concern include the impacts of climate change, protection against natural and human-made disasters, and sustainable resource management. This book introduces future scientists and decision makers to the concepts and techniques of uncertainty estimation in environmental prediction. It explains the constraint of uncertainties by the collection of observations and discusses data assimilation in real-time forecasting. It also presents techniques for decision making under uncertainty.