Hurricanes and Climate Change Volume 2 /

Hurricanes are natures most destructive agents. Widespread interest surrounds the possibility that they might get even more destructive in the future. Policy makers consider it a call for action. Answers about when and by how much hurricanes will change are sought by financial institutions especial...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Elsner, James B. (Editor), Hodges, Robert E. (Editor), Malmstadt, Jill C. (Editor), Scheitlin, Kelsey N. (Editor)
Format: Electronic
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2010.
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-90-481-9510-7
Table of Contents:
  • 1. The tropical cyclone climate model intercomparison project
  • 2. Change of tropical cyclone and seasonal climate state in a global warming experiment with a global cloud-system-resolving model
  • 3. Role of the SST anomaly structures in response of cycogenesis to global warming
  • 4. Tropical cyclones rainfall in the observations, reanalysis and ARPEGE simulations in the North Atlantic basin
  • 5. Tropical cyclones as a critical phenomenon
  • 6. Environmental signals in property damage losses from hurricanes
  • 7. A statistical analysis of the frequency of United States and eastern North Pacific hurricanes related to solar activity
  • 8. Regional typhoon activity as revealed by track patterns and climate change
  • 9. Some atmospheric and oceanic indexes and their relationship with tropical cyclones over the Caribbean
  • 10. On the increasing intensity of the strongest Atlantic hurricanes
  • 11. Frequency and intensity of hurricanes within Floridas threat zone
  • 12. Linking tropical cyclone frequency over the western North Pacific with sea surface temperatures
  • 13. A track-relative climatology of Eglin Air Force Base hurricanes in a variable climate
  • 14. Estimating the impact of climate variability on cumulative hurricane destructive potential through data mining.