Intraseasonal variability in the atmosphere-ocean climate system
Author(s)
Bibliographic Information
Intraseasonal variability in the atmosphere-ocean climate system
(Springer-Praxis books in environmental sciences)
Springer, c2012
2nd ed
- : hard
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University Library for Agricultural and Life Sciences, The University of Tokyo図
: hard451.24:L36:2nd ed5010728631
Note
Includes bibliographical references and index
Description and Table of Contents
Description
Improving the reliability of long-range forecasts of natural disasters, such as severe weather, droughts and floods, in North America, South America, Africa and the Asian/Australasian monsoon regions is of vital importance to the livelihood of millions of people who are affected by these events. In recent years the significance of major short-term climatic variability, and events such as the El Nino/Southern Oscillation in the Pacific, with its worldwide effect on rainfall patterns, has been all to clearly demonstrated. Understanding and predicting the intra-seasonal variability (ISV) of the ocean and atmosphere is crucial to improving long range environmental forecasts and the reliability of climate change projects through climate models. In the second edition of this classic book on the subject, the authors have updated the original chapters, where appropriate, and added a new chapter that includes short subjects representing substantial new development in ISV research since the publication of the first edition.
Table of Contents
1. Historical Perspectives (R. Madden and P. Julian).- 2. South Asian Monsoon (B. N. Goswami).- 3. East Asian Monsoon (H. H. Hsu).- 4. Pan America (K. C. Mo & J. Paegle).- 5. Australian-Indonesian Monsoon (M. Wheeler J. McBride).- 6. The Oceans (W. Kessler).- 7. Air-sea Interaction (H. Hendon).- 8. Mass, Momentum, and Geodynamics (B. Chao and David Salstein).- 9. ENSO Connection (W. Lau).- 10. Theory (B. Wang).- 11. Modeling (J. Slingo, P. Inness and K. Sperber).- 12. Predictability and Forecasting (D.Waliser).- 13 New research development ( multiple authors, TBD).
by "Nielsen BookData"