ISBN: 9780521761055 - stochastic physics and climate modelling (7 Ergebnisse)

Hardcover. Zustand: Very Good. Stochastic Physics and Climate Modelling This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.…

Hardcover. Zustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. …

Zustand: New. In Italian.

Gebunden. Zustand: New. This is the first book promoting the use of stochastic, or random, processes to understand, model and predict our climate system. It shows how such methods improve climate simulation and prediction, compared with more conventional bulk-formula parameterizat.

Zustand: New. The first book to promote the use of stochastic, or random, processes to understand, model and predict our climate system. Editor(s): Palmer, Tim. Num Pages: 496 pages, 53 b/w illus. 2 tables. BIC Classification: PBWH; PBWL; RBP. Category: (P) Professional & Vocational. Dimension: 256 x 180 x 27. Weight in Grams: 1108. . 2009. Illustrated. hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Zustand: Brand New. 480 pages. 9.75x7.00x0.75 inches. In Stock.

Buch. Zustand: Neu. Neuware - 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 modelled. 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 modelling, and climate change. …