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scheme and other schemes apply some relaxation of detection criteria after an initial detection ( Camargo and Zebiak 2002 ; Walsh et al. 2013 ). In some cases, this includes reanalysis of time steps preceding a detection with relaxed criteria ( Camargo and Zebiak 2002 ). These differences in tracking may have substantial impacts on the statistics of detected TCs. At present, there is little uniformity between tracking methods and criteria used in different GCM TC studies. The use of a 10-m wind
scheme and other schemes apply some relaxation of detection criteria after an initial detection ( Camargo and Zebiak 2002 ; Walsh et al. 2013 ). In some cases, this includes reanalysis of time steps preceding a detection with relaxed criteria ( Camargo and Zebiak 2002 ). These differences in tracking may have substantial impacts on the statistics of detected TCs. At present, there is little uniformity between tracking methods and criteria used in different GCM TC studies. The use of a 10-m wind
1. Introduction Tropical cyclones (TCs) are among the most devastating weather events on Earth with extremely important societal impacts (e.g., Pielke and Landsea 1998 ; Pielke et al. 2008 ). In addition, these powerful storms potentially play important roles in the climate system by affecting heat transport ( Emanuel 2001 ; Sriver and Huber 2007 ; Korty et al. 2008 ; Mei et al. 2013 ). An adequate understanding of TC variability and the underlying mechanisms helps to improve the accuracy
1. Introduction Tropical cyclones (TCs) are among the most devastating weather events on Earth with extremely important societal impacts (e.g., Pielke and Landsea 1998 ; Pielke et al. 2008 ). In addition, these powerful storms potentially play important roles in the climate system by affecting heat transport ( Emanuel 2001 ; Sriver and Huber 2007 ; Korty et al. 2008 ; Mei et al. 2013 ). An adequate understanding of TC variability and the underlying mechanisms helps to improve the accuracy
1. Introduction Heavy precipitation and flooding associated with tropical cyclones (TCs) are responsible for a large number of fatalities and economic damage worldwide (e.g., Rappaport 2000 ; Pielke et al. 2008 ; Mendelsohn et al. 2012 ; Peduzzi et al. 2012 ). In part because of the societal and economic relevance of this hazard, studies have focused on the potential changes in heavy rainfall associated with TCs in a warmer climate ( Gualdi et al. 2008 ; Knutson and Tuleya 2004 ; Hasegawa
1. Introduction Heavy precipitation and flooding associated with tropical cyclones (TCs) are responsible for a large number of fatalities and economic damage worldwide (e.g., Rappaport 2000 ; Pielke et al. 2008 ; Mendelsohn et al. 2012 ; Peduzzi et al. 2012 ). In part because of the societal and economic relevance of this hazard, studies have focused on the potential changes in heavy rainfall associated with TCs in a warmer climate ( Gualdi et al. 2008 ; Knutson and Tuleya 2004 ; Hasegawa
of category 4 wind speeds or greater, occur in the Pacific basin. The present study examines changes in global tropical storm intensities and frequencies. The biases in Pacific cyclogenesis location, while important when considering the impacts of landfall and other localized details of tropical storm statistics, are not expected to have a significant effect on the forced response in global tropical storm statistics due to the uniform forcing changes imposed in this study. The model’s simulated
of category 4 wind speeds or greater, occur in the Pacific basin. The present study examines changes in global tropical storm intensities and frequencies. The biases in Pacific cyclogenesis location, while important when considering the impacts of landfall and other localized details of tropical storm statistics, are not expected to have a significant effect on the forced response in global tropical storm statistics due to the uniform forcing changes imposed in this study. The model’s simulated
