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contributor authorDaloz, Anne S.
contributor authorCamargo, S. J.
contributor authorKossin, J. P.
contributor authorEmanuel, K.
contributor authorHorn, M.
contributor authorJonas, J. A.
contributor authorKim, D.
contributor authorLaRow, T.
contributor authorLim, Y.-K.
contributor authorPatricola, C. M.
contributor authorRoberts, M.
contributor authorScoccimarro, E.
contributor authorShaevitz, D.
contributor authorVidale, P. L.
contributor authorWang, H.
contributor authorWehner, M.
contributor authorZhao, M.
date accessioned2017-06-09T17:09:35Z
date available2017-06-09T17:09:35Z
date copyright2015/02/01
date issued2014
identifier issn0894-8755
identifier otherams-80313.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4223192
description abstractrealistic representation of the North Atlantic tropical cyclone tracks is crucial as it allows, for example, explaining potential changes in U.S. landfalling systems. Here, the authors present a tentative study that examines the ability of recent climate models to represent North Atlantic tropical cyclone tracks. Tracks from two types of climate models are evaluated: explicit tracks are obtained from tropical cyclones simulated in regional or global climate models with moderate to high horizontal resolution (1°?0.25°), and downscaled tracks are obtained using a downscaling technique with large-scale environmental fields from a subset of these models. For both configurations, tracks are objectively separated into four groups using a cluster technique, leading to a zonal and a meridional separation of the tracks. The meridional separation largely captures the separation between deep tropical and subtropical, hybrid or baroclinic cyclones, while the zonal separation segregates Gulf of Mexico and Cape Verde storms. The properties of the tracks? seasonality, intensity, and power dissipation index in each cluster are documented for both configurations. The authors? results show that, except for the seasonality, the downscaled tracks better capture the observed characteristics of the clusters. The authors also use three different idealized scenarios to examine the possible future changes of tropical cyclone tracks under 1) warming sea surface temperature, 2) increasing carbon dioxide, and 3) a combination of the two. The response to each scenario is highly variable depending on the simulation considered. Finally, the authors examine the role of each cluster in these future changes and find no preponderant contribution of any single cluster over the others.
publisherAmerican Meteorological Society
titleCluster Analysis of Downscaled and Explicitly Simulated North Atlantic Tropical Cyclone Tracks
typeJournal Paper
journal volume28
journal issue4
journal titleJournal of Climate
identifier doi10.1175/JCLI-D-13-00646.1
journal fristpage1333
journal lastpage1361
treeJournal of Climate:;2014:;volume( 028 ):;issue: 004
contenttypeFulltext


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