Empirical Methods in Short-Term Climate Prediction

Erscheinungsjahr 2006
ISBN: 978-0-19-920278-2
Verlag: Oxford University Press

Buch, Englisch, 240 Seiten, Format (B × H): 160 mm x 240 mm, Gewicht: 521 g

This clear and accessible text describes the methods underlying short-term climate prediction at time scales of 2 weeks to a year. Although a difficult range to forecast accurately, there have been several important advances in the last ten years, most notably in understanding ocean-atmosphere interaction (El Nino for example), the release of global coverage data sets, and in prediction methods themselves. With an emphasis on the empirical approach, the text covers
in detail empirical wave propagation, teleconnections, empirical orthogonal functions, and constructed analogue. It also provides a detailed description of nearly all methods used operationally in long-lead seasonal forecasts, with new examples and illustrations. The challenges of making a real
time forecast are discussed, including protocol, format, and perceptions about users. Based where possible on global data sets, illustrations are not limited to the Northern Hemisphere, but include several examples from the Southern Hemisphere. Includes foreword by Professor Edward Lorenz (Massachusetts Institute of Technology).

Autoren/Hrsg.

van den Dool, Huug

Fachgebiete

• Mathematik | Informatik Mathematik Mathematik Allgemein
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
• Geowissenschaften Geologie Meteorologie, Klimatologie
• Naturwissenschaften Physik Angewandte Physik Geophysik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
• Naturwissenschaften Physik Angewandte Physik Umweltphysik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Populärwissenschaftliche Werke
• Geowissenschaften Geologie Geophysik
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Geowissenschaften Geologie Aeronomie, Ionosphäre, Magnetosphäre
• Naturwissenschaften Physik Physik Allgemein

Über Autor(innen)

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.