Hurricanes and Climate Change: Volume 2, 2. köideJames B. Elsner, Robert E. Hodges, Jill C. Malmstadt, Kelsey N. Scheitlin Springer Science & Business Media, 2. sept 2010 - 255 pages 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 especially industry. And scientists are challenged by the range and interactions of the processes involved. This book, arising from the 2nd International Summit on Hurricanes and Climate Change, contains new research on topics related to hurricanes and climate change since the 1st Summit. Chapters are grouped into research studies using global climate models and those taking empirical and statistical approaches. The latter include investigations of basin-wide and regional hurricane activity. |
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Page 17
... season: if a model has a larger formation rate in one season than other models, it also has a larger formation rate in the other season. Some systematic biases are evident in cyclone formation common across most models. For instance ...
... season: if a model has a larger formation rate in one season than other models, it also has a larger formation rate in the other season. Some systematic biases are evident in cyclone formation common across most models. For instance ...
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... season-long period with 14-km mesh version of Nonhydrostatic ICosahedral Atmospheric Model (NICAM), a prototype GCRM. Notable changes in the seasonal-mean state include decrease in outgoing longwave radiation (OLR) in the western to ...
... season-long period with 14-km mesh version of Nonhydrostatic ICosahedral Atmospheric Model (NICAM), a prototype GCRM. Notable changes in the seasonal-mean state include decrease in outgoing longwave radiation (OLR) in the western to ...
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Contents
1 | |
25 | |
Chapter 3 Role of the SST Anomaly Structures in Response of Cyclogenesis to Global Warming | 39 |
Chapter 4 Tropical Cyclone Rainfall in the Observations Reanalysis and ARPEGE Simulations in the North Atlantic Basin | 57 |
Chapter 5 Tropical Cyclones as a Critical Phenomenon | 81 |
Chapter 6 Environmental Signals in Property Damage Losses from Hurricanes | 101 |
Chapter 7 A Statistical Analysis of the Frequency of United States and Eastern North Pacific Hurricanes Related to Solar Activity | 121 |
Chapter 8 Regional Typhoon Activity as Revealed by Track Patterns and Climate Change | 137 |
Chapter 9 Climatic Features and Their Relationship with Tropical Cyclones Over the IntraAmericas Seas | 149 |
Chapter 10 On the Increasing Intensity of the Strongest Atlantic Hurricanes | 175 |
Chapter 11 Frequency and Intensity of Hurricanes Within Floridas Threat Zone | 191 |
Chapter 12 Linking Tropical Cyclone Number Over the Western North Pacific with Sea Surface Temperatures | 205 |
Chapter 13 A TrackRelative Climatology of Eglin Air Force Base Hurricanes in a Variable Climate | 217 |
Chapter 14 Estimating the Impact of Climate Variability on Cumulative Hurricane Destructive Potential Through Data Mining | 231 |
Index | 253 |
Other editions - View all
Hurricanes and Climate Change, 2. köide James B. Elsner,Robert E. Hodges,Jill C. Malmstadt,Kelsey N. Scheitlin No preview available - 2010 |
Common terms and phrases
activity analysis annual anomalies ARPEGE associated atmospheric average basin Center chapter climate change climate models CLLJ coast compared contribution convective core correlation damage dataset decrease detection developed distribution effects Elsner Emanuel energy ENSO estimated et al experiment extreme factors Figure Florida forcing formation frequency future given global Gulf of Mexico higher hurricane hurricane activity hurricane intensity important increase indicate intensity Jagger landfall losses major maximum mean NATL Ni˜no normal North Atlantic observed obtained occur ocean original Pacific parameters patterns period positive potential precipitation prediction present probability reanalysis region regression relationship relative represent Research resolution response scale season shown shows significant simulations solar SST anomalies statistical storms Table TCs rainfall threshold track trees trend TRMM tropical cyclones United values variables warming wind speed