Modeling Uncertainty in the Earth Sciences highlights the
various issues, techniques and practical modeling tools available
for modeling the uncertainty of complex Earth systems and the
impact that it has on practical situations. The aim of the book is
to provide an introductory overview which covers a broad range of
tried-and-tested tools. Descriptions of concepts, philosophies,
challenges, methodologies and workflows give the reader an
understanding of the best way to make decisions under uncertainty
for Earth Science problems.
The book covers key issues such as: Spatial and time aspect;
large complexity and dimensionality; computation power; costs of
‘engineering’ the Earth; uncertainty in the modeling and decision
process. Focusing on reliable and practical methods this book
provides an invaluable primer for the complex area of decision
making with uncertainty in the Earth Sciences.
Over de auteur
Jef Caers, Associate Professor of Energy Resources Engineering, Department of Energy Resources Engineering, Stanford University, Stanford, CA.
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