This is the first book to promote the use of stochastic, or random, processes to understand, model and predict our climate system. One of the most important applications of this technique is in the representation of comprehensive climate models of processes which, although crucial, are too small or fast to be explicitly modeled. The book shows how stochastic methods can lead to improvements in climate simulation and prediction, compared with more conventional bulk-formula parameterization procedures. Beginning with expositions of the relevant mathematical theory, the book moves on to describe numerous practical applications. It covers the complete range of time scales of climate variability, from seasonal to decadal, centennial, and millennial. With contributions from leading experts in climate physics, this book is invaluable to anyone working on climate models, including graduate students and researchers in the atmospheric and oceanic sciences, numerical weather forecasting, climate prediction, climate modeling, and climate change.
Author: Timothy N. Palmer Publisher: Cambridge University Press Published: 12/03/2009 Pages: 496 Binding Type: Hardcover Weight: 2.45lbs Size: 9.80h x 7.00w x 1.00d ISBN: 9780521761055
About the Author Williams, Paul: - Paul Williams is a Research Fellow at the Department of Meteorology, University of Reading. He has won the Royal Astronomical Society Blackwell Prize in (2004) and the Royal Meteorological Society Rupert Ford Award (2005), and has received a prestigious Crucible Fellowship from the National Endowment for Science, Technology and the Arts (2007). He was the lead author of a climate change report commissioned and published by the European Parliament (2004). He is a Fellow of the Royal Meteorological Society, the Institute of Physics, and the Royal Astronomical Society. His research findings have been reported widely in the media, including feature articles in New Scientist and the Financial Times, and a panel discussion on BBC Radio 4.
