Stochastic Physics and Climate Modelling
Stochastic Physics and Climate Modelling by Tim Palmer, published by Cambridge University Press on March 1, 2018, is a comprehensive exploration of stochastic processes in understanding and predicting climate systems. This reprint edition spans 496 pages and is presented in Italian. The book introduces the application of stochastic methods to enhance climate models, particularly for processes that are too small or rapid to be modeled explicitly, offering a fresh perspective on climate simulation and prediction.
Readers will find detailed discussions on the mathematical theories underpinning stochastic methods, alongside numerous practical applications that address climate variability across various time scales, from seasonal to millennial. With contributions from leading experts in the field, this book serves as a valuable resource for graduate students and researchers engaged in atmospheric and oceanic sciences, numerical weather forecasting, and climate change. The focus on innovative modeling techniques positions this work as a significant addition to the literature on meteorology and climatology.
Official synopsis Publisher
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.
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