Publication Abstracts
Horn et al. 2014
Horn, M., K. Walsh, M. Zhao, S.J. Camargo, E. Scoccimarro, H. Murakami, H. Wang, A. Ballinger, A. Kumar, D.A. Shaevitz, , and K. Oouchi, 2014: Tracking scheme dependence of simulated tropical cyclone response to idealized climate simulations. J. Climate, 27, no. 24, 9197-9213, doi:10.1175/JCLI-D-14-00200.1.
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.
The influence of different tracking schemes on detected tropical cyclone activity and responses in the Hurricane Working Group experiments is examined herein. 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. Two tracking schemes are applied to these data and the tracks provided by each modeling group are analyzed.
The results herein 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, it is found that much of the disagreement between schemes is due to differences in duration, wind speed, and formation-latitude thresholds. After homogenization in these thresholds, agreement between different tracking methods is improved. However, much disagreement remains, accountable for by more fundamental differences between the tracking schemes. The 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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BibTeX Citation
@article{ho09500h,
author={Horn, M. and Walsh, K. and Zhao, M. and Camargo, S. J. and Scoccimarro, E. and Murakami, H. and Wang, H. and Ballinger, A. and Kumar, A. and Shaevitz, D. A. and Jonas, J. A. and Oouchi, K.},
title={Tracking scheme dependence of simulated tropical cyclone response to idealized climate simulations},
year={2014},
journal={Journal of Climate},
volume={27},
number={24},
pages={9197--9213},
doi={10.1175/JCLI-D-14-00200.1},
}
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RIS Citation
TY - JOUR ID - ho09500h AU - Horn, M. AU - Walsh, K. AU - Zhao, M. AU - Camargo, S. J. AU - Scoccimarro, E. AU - Murakami, H. AU - Wang, H. AU - Ballinger, A. AU - Kumar, A. AU - Shaevitz, D. A. AU - Jonas, J. A. AU - Oouchi, K. PY - 2014 TI - Tracking scheme dependence of simulated tropical cyclone response to idealized climate simulations JA - J. Climate JO - Journal of Climate VL - 27 IS - 24 SP - 9197 EP - 9213 DO - 10.1175/JCLI-D-14-00200.1 ER -
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