Empirical Methods in Short-Term Climate Prediction

Zusatztext This is a great book ... every student and practitioner of climate prediction should have a copy on their desk Informationen zum Autor Huug van den Dool gained his PhD in Dynamical Meteorology from the University of Utrecht in 1975. He has since worked as a researcher at KNMI (Royal Netherlands Meteorological Institute), Scripps Institution of Oceanography, the University of Maryland, and as Chief of Prediction at the CPC (Climate Prediction Center). He is currently a principal scientist at CPC and an adjunct professor at the University of Maryland. Klappentext This clear, accessible text describes the methods and advances in short-term climate prediction at time scales of 2 weeks to a year. With an emphasis on the prediction methods themselves and the use of observations, the text is ideal for students and researchers in Meteorology, Atmospheric Science, Geoscience, Mathematics, Statistics and Physics. Zusammenfassung This clear, accessible text describes the methods and advances in short-term climate prediction at time scales of 2 weeks to a year. With an emphasis on the prediction methods themselves and the use of observations, the text is ideal for students and researchers in Meteorology, Atmospheric Science, Geoscience, Mathematics, Statistics and Physics.

Dettagli sul prodotto

• Autori: Huug Van Den Dool, Huug van den Dool
• Editore: Oxford University Press
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 07.12.2006
• EAN: 9780199202782
• ISBN: 978-0-19-920278-2
• Pagine: 240
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica; Scienze umane, arte, musica > Scienze linguistiche e letterarie > Linguistica generale e comparata; MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Applied, SCIENCE / Earth Sciences / Meteorology & Climatology, Meteorology & climatology, Atmospheric physics, Meteorology and climatology, Probability & statistics, Mathematical modelling, Probability and statistics