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contributor authorKnaff, John A.
contributor authorSampson, Charles R.
contributor authorChirokova, Galina
date accessioned2017-06-09T17:37:37Z
date available2017-06-09T17:37:37Z
date copyright2017/04/01
date issued2017
identifier issn0882-8156
identifier otherams-88299.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4232063
description abstractorecasts of tropical cyclone (TC) surface wind structure have recently begun to show some skill, but the number of reliable forecast tools, mostly regional hurricane and select global models, remains limited. To provide additional wind structure guidance, this work presents the development of a statistical?dynamical method to predict tropical cyclone wind structure in terms of wind radii, which are defined as the maximum extent of the 34-, 50-, and 64-kt (1 kt = 0.514 m s?1) winds in geographical quadrants about the center of the storm. The basis for TC size variations is developed from an infrared satellite-based record of TC size, which is homogenously calculated from a global sample. The change in TC size is predicted using a statistical?dynamical approach where predictors are based on environmental diagnostics derived from global model forecasts and observed storm conditions. Once the TC size has been predicted, the forecast intensity and track are used along with a parametric wind model to estimate the resulting wind radii. To provide additional guidance for applications and users that require forecasts of central pressure, a wind?pressure relationship that is a function of TC motion, intensity, wind radii (i.e., size), and latitude is then applied to these forecasts. This forecast method compares well with similar wind structure forecasts made by global forecast and regional hurricane models and when these forecasts are used as a member of a simple consensus; its inclusion improves the forecast performance of the consensus.
publisherAmerican Meteorological Society
titleA Global Statistical–Dynamical Tropical Cyclone Wind Radii Forecast Scheme
typeJournal Paper
journal volume32
journal issue2
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-16-0168.1
journal fristpage629
journal lastpage644
treeWeather and Forecasting:;2017:;volume( 032 ):;issue: 002
contenttypeFulltext


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