Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/9118
Authors: Horn, M.* 
Walsh, K.* 
Zhao, M.* 
Camargo, S.* 
Scoccimarro, E.* 
Murakami, H.* 
Ballinger, A.* 
Wang, H.* 
Kumar, A.* 
Shaewitz, D.* 
Jonas, J. A.* 
Oouchi, K.* 
Title: Tracking Scheme Dependence of Simulated Tropical Cyclone Response to Idealized Climate Simulations
Journal: Journal of climate 
Series/Report no.: 24/27 (2014)
Publisher: American Meteorological Society
Issue Date: 2014
DOI: 10.1175/JCLI-D-14-00200.1
URL: http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-14-00200.1
Keywords: tropical cyclones
tracking schemes
climate change
hurricanes
Subject Classification01. Atmosphere::01.01. Atmosphere::01.01.02. Climate 
Abstract: Future tropical cyclone activity is a topic of great scientific and societal interest. In the absence of a climate theory of tropical cyclogenesis, general circulation models are the primary tool available for investigating the issue. However, the identification of tropical cyclones in model data at moderate resolution is complex, and numerous schemes have been developed for their detection. We here examine the influence of different tracking schemes on detected tropical cyclone activity and responses in the Hurricane Working Group experiments. These are idealized atmospheric general circulation model experiments aimed at determining and distinguishing the effects of increased sea-surface temperature and other increased CO2 effects on tropical cyclone activity. We apply two tracking schemes to these data and also analyze the tracks provided by each modelling group. Our results indicate moderate agreement between the different tracking methods, with some models and experiments showing better agreement across schemes than others. When comparing responses between experiments, we find that much of the disagreement between schemes is due to differences in duration, wind speed, and formation-latitude thresholds. After homogenisation in these thresholds, agreement between different tracking methods is improved. However, much disagreement remains, accountable for by more fundamental differences between the tracking schemes. Our results indicate that sensitivity testing and selection of objective thresholds are the key factors in obtaining meaningful, reproducible results when tracking tropical cyclones in climate model data at these resolutions, but that more fundamental differences between tracking methods can also have a significant impact on the responses in activity detected.
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