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contributor authorWang, Zhuo
contributor authorLi, Weiwei
contributor authorPeng, Melinda S.
contributor authorJiang, Xianan
contributor authorMcTaggart-Cowan, Ron
contributor authorDavis, Christopher A.
date accessioned2019-09-19T10:07:06Z
date available2019-09-19T10:07:06Z
date copyright11/22/2017 12:00:00 AM
date issued2017
identifier otherjas-d-17-0094.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261723
description abstractAbstractPractical predictability of tropical cyclogenesis over the North Atlantic is evaluated in different synoptic flow regimes using the NCEP Global Ensemble Forecast System (GEFS) reforecasts with forecast lead time up to two weeks. Synoptic flow regimes are represented by tropical cyclogenesis pathways defined in a previous study based on the low-level baroclinicity and upper-level forcing of the genesis environmental state, including nonbaroclinic, low-level baroclinic, trough-induced, weak tropical transition (TT), and strong TT pathways. It is found that the strong TT and weak TT pathways have lower predictability than the other pathways, linked to the lower predictability of vertical wind shear and midlevel humidity in the genesis vicinity of a developing TT storm. Further analysis suggests that stronger extratropical influences contribute to lower genesis predictability. It is also shown that the regional and seasonal variations of the genesis predictive skill in the GEFS can be largely explained by the relative frequency of occurrence of each pathway and the predictability differences among pathways. Predictability of tropical cyclogenesis is further discussed using the concept of the genesis potential index.
publisherAmerican Meteorological Society
titlePredictive Skill and Predictability of North Atlantic Tropical Cyclogenesis in Different Synoptic Flow Regimes
typeJournal Paper
journal volume75
journal issue1
journal titleJournal of the Atmospheric Sciences
identifier doi10.1175/JAS-D-17-0094.1
journal fristpage361
journal lastpage378
treeJournal of the Atmospheric Sciences:;2017:;volume 075:;issue 001
contenttypeFulltext


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