Open AccessSensitivity of Hurricane Intensity Forecast to Convective Momentum Transport Parameterization
Author(s) -
Je-Chin Han,
Hua-Lu Pan
Publication year - 2006
Publication title -
monthly weather review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.862
H-Index - 179
eISSN - 1520-0493
pISSN - 0027-0644
DOI - 10.1175/mwr3090.1
Subject(s) - tropical cyclone , initialization , intensity (physics) , environmental science , momentum (technical analysis) , meteorology , convection , climatology , precipitation , wind shear , quantitative precipitation forecast , atmospheric sciences , wind speed , geology , physics , computer science , finance , quantum mechanics , economics , programming language
A parameterization of the convection-induced pressure gradient force (PGF) in convective momentum transport (CMT) is tested for hurricane intensity forecasting using NCEP's operational Global Forecast System (GFS) and its nested Regional Spectral Model (RSM). In the parameterization the PGF is assumed to be proportional to the product of the cloud mass flux and vertical wind shear. Compared to control forecasts using the present operational GFS and RSM where the PGF effect in CMT is taken into account empirically, the new PGF parameterization helps increase hurricane intensity by reducing the vertical momentum exchange, giving rise to a closer comparison to the observations. In addition, the new PGF parameterization forecasts not only show more realistically organized precipitation patterns with enhanced hurricane intensity but also reduce the forecast track error. Nevertheless, the model forecasts with the new PGF parameterization still largely underpredict the observed intensity. One of the many possible reasons for the large underprediction may be the absence of hurricane initialization in the models.