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contributor authorKossin, James P.
contributor authorDeMaria, Mark
date accessioned2017-06-09T17:37:12Z
date available2017-06-09T17:37:12Z
date copyright2016/04/01
date issued2016
identifier issn0882-8156
identifier otherams-88179.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231930
description abstractyewall replacement cycles (ERCs) are fairly common events in tropical cyclones (TCs) of hurricane intensity or greater and typically cause large and sometimes rapid changes in the intensity evolution of the TC. Although the details of the intensity evolution associated with ERCs appear to have some dependence on the ambient environmental conditions that the TCs move through, these dependencies can also be quite different than those of TCs that are not undergoing an ERC. For example, the Statistical Hurricane Prediction Scheme (SHIPS), which is used in National Hurricane Center operations and provides intensity forecast skill that is, on average, equal to or greater than deterministic numerical model skill, typically identifies an environment that is not indicative of weakening during the onset and subsequent evolution of an ERC. Contrarily, a period of substantial weakening does typically begin near the onset of an ERC, and this disparity can cause large SHIPS intensity forecast errors. Here, a simple model based on a climatology of ERC intensity change is introduced and tested against SHIPS. It is found that the application of the model can reduce intensity forecast error substantially when applied at, or shortly after, the onset of ERC weakening.
publisherAmerican Meteorological Society
titleReducing Operational Hurricane Intensity Forecast Errors during Eyewall Replacement Cycles
typeJournal Paper
journal volume31
journal issue2
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-15-0123.1
journal fristpage601
journal lastpage608
treeWeather and Forecasting:;2016:;volume( 031 ):;issue: 002
contenttypeFulltext


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