Hurricanes and Climate Change Volume 2 /

Hurricanes are nature’s 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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Elsner, James B. (Επιμελητής έκδοσης), Hodges, Robert E. (Επιμελητής έκδοσης), Malmstadt, Jill C. (Επιμελητής έκδοσης), Scheitlin, Kelsey N. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2010.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • The Tropical Cyclone Climate Model Intercomparison Project
  • Change of Tropical Cyclone and Seasonal Climate State in a Global Warming Experiment with a Global Cloud-System-Resolving Model
  • Role of the SST Anomaly Structures in Response of Cyclogenesis to Global Warming
  • Tropical Cyclone Rainfall in the Observations, Reanalysis and ARPEGE Simulations in the North Atlantic Basin
  • Tropical Cyclones as a Critical Phenomenon
  • Environmental Signals in Property Damage Losses from Hurricanes
  • A Statistical Analysis of the Frequency of United States and Eastern North Pacific Hurricanes Related to Solar Activity
  • Regional Typhoon Activity as Revealed by Track Patterns and Climate Change
  • Climatic Features and Their Relationship with Tropical Cyclones Over the Intra-Americas Seas
  • On the Increasing Intensity of the Strongest Atlantic Hurricanes
  • Frequency and Intensity of Hurricanes Within Florida’s Threat Zone
  • Linking Tropical Cyclone Number Over the Western North Pacific with Sea Surface Temperatures
  • A Track-Relative Climatology of Eglin Air Force Base Hurricanes in a Variable Climate
  • Estimating the Impact of Climate Variability on Cumulative Hurricane Destructive Potential Through Data Mining.