Statistical tropical cyclone wind radii prediction using climatology and persistence

被引:151
作者
Knaff, John A.
Sampson, Charles R.
DeMaria, Mark
Marchok, Timothy P.
Gross, James M.
McAdie, Colin J.
机构
[1] Colorado State Univ, CIRA, NOAA, NESDIS Reg Mesoscale Meteorol Branch, Ft Collins, CO 80523 USA
[2] USN, Res Lab, Monterey, CA USA
[3] NOAA, NESDIS, Reg & Mesoscale Meteorol Branch, Ft Collins, CO USA
[4] NOAA, OAR, Geophys Fluid Dynam Lab, Princeton, NJ USA
[5] NOAA, NWS, NCEP, Trop Predict Ctr, Miami, FL USA
关键词
D O I
10.1175/WAF1026.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
An operational model used to predict tropical cyclone wind structure in terms of significant wind radii ( i.e., 34-, 50-, and 64-kt wind radii, where 1 kt = 0.52 m s(-1)) at the National Oceanic and Atmospheric Administration/National Hurricane Center ( NHC) and the Department of Defense/Joint Typhoon Warning Center ( JTWC) is described. The statistical-parametric model employs aspects of climatology and persistence to forecast tropical cyclone wind radii through 5 days. Separate versions of the model are created for the Atlantic, east Pacific, and western North Pacific by statistically fitting a modified Rankine vortex, which is generalized to allow wavenumber-1 asymmetries, to observed values of tropical cyclone wind radii as reported by NHC and JTWC. Descriptions of the developmental data and methods used to formulate the model are given. A 2-yr verification and comparison with operational forecasts and an independently developed wind radii forecast method that also employs climatology and persistence suggests that the statistical-parametric model does a good job of forecasting wind radii. The statistical-parametric model also provides reliable operational forecasts that serve as a baseline for evaluating the skill of operational forecasts and other wind radii forecast methods in these tropical cyclone basins.
引用
收藏
页码:781 / 791
页数:11
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