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.

“This is an outstanding contribution to the current literature, particularly since this book is aimed at an audience of young researchers and modelers that may just be starting their careers.” (Mathematical Geoscience, 29 November 2012)

“Overall, I consider this book to be a good addition to a rather limited choice of books for teaching an introductory course on modeling uncertainty in the Earth and environmental sciences. As the author points out in the preface of the book, this is not an encyclopedia on modeling uncertainty, but rather an introduction to the topic that can lead the reader to deeper pursuits on modeling uncertainty.”  (Bulletin of the American Meteorological Society, 1 October 2012) 

“The book, Modeling Uncertainty in the Earth Sciences, can be of great use for anyone involved with making decisions in Earth sciences. It gives a solid overview on how decisions in Earth Science can be improved by explicit uncertainty modeling.”  (Environmental Earth Science, 1 October 2012)

Jef Caers, Associate Professor of Energy Resources Engineering, Department of Energy Resources Engineering, Stanford University, Stanford, CA.