The JMA's Global Spectral Model (JMA/GSM) was run from the initial conditions of ECMWF, which are available in the YOTC data set, to distinguish between TC track prediction errors attributable to the initial conditions and those attributable to the NWP model. The average position error was reduced by about 10% by replacing the initial conditions, and in some cases, the predictions were significantly improved. In these cases, the low wavenumber component of the ECMWF analysis was found to account for most of the improvement. In addition, the observed tracks were captured by the JMA Typhoon Ensemble Prediction System (TEPS), which deals with initial condition uncertainties. In some cases, however, the replacement of the initial conditions did not improve the prediction even when the ECMWF forecast was accurate. In these cases, TEPS could not capture the observed track either, implying the need for dealing with uncertainties associated with the NWP model. Copyright 2012 by the American Geophysical Union.
CITATION STYLE
Yamaguchi, M., Nakazawa, T., & Aonashi, K. (2012). Tropical cyclone track forecasts using JMA model with ECMWF and JMA initial conditions. Geophysical Research Letters, 39(9). https://doi.org/10.1029/2012GL051473
Mendeley helps you to discover research relevant for your work.