Tracking Scheme Dependence of Simulated Tropical Cyclone Response to Idealized Climate SimulationsSource: Journal of Climate:;2014:;volume( 027 ):;issue: 024::page 9197Author:Horn, Michael
,
Walsh, Kevin
,
Zhao, Ming
,
Camargo, Suzana J.
,
Scoccimarro, Enrico
,
Murakami, Hiroyuki
,
Wang, Hui
,
Ballinger, Andrew
,
Kumar, Arun
,
Shaevitz, Daniel A.
,
Jonas, Jeffrey A.
,
Oouchi, Kazuyoshi
DOI: 10.1175/JCLI-D-14-00200.1Publisher: American Meteorological Society
Abstract: uture 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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contributor author | Horn, Michael | |
contributor author | Walsh, Kevin | |
contributor author | Zhao, Ming | |
contributor author | Camargo, Suzana J. | |
contributor author | Scoccimarro, Enrico | |
contributor author | Murakami, Hiroyuki | |
contributor author | Wang, Hui | |
contributor author | Ballinger, Andrew | |
contributor author | Kumar, Arun | |
contributor author | Shaevitz, Daniel A. | |
contributor author | Jonas, Jeffrey A. | |
contributor author | Oouchi, Kazuyoshi | |
date accessioned | 2017-06-09T17:10:18Z | |
date available | 2017-06-09T17:10:18Z | |
date copyright | 2014/12/01 | |
date issued | 2014 | |
identifier issn | 0894-8755 | |
identifier other | ams-80515.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4223416 | |
description abstract | uture 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. | |
publisher | American Meteorological Society | |
title | Tracking Scheme Dependence of Simulated Tropical Cyclone Response to Idealized Climate Simulations | |
type | Journal Paper | |
journal volume | 27 | |
journal issue | 24 | |
journal title | Journal of Climate | |
identifier doi | 10.1175/JCLI-D-14-00200.1 | |
journal fristpage | 9197 | |
journal lastpage | 9213 | |
tree | Journal of Climate:;2014:;volume( 027 ):;issue: 024 | |
contenttype | Fulltext |