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contributor authorYamaguchi, Munehiko
contributor authorSakai, Ryota
contributor authorKyoda, Masayuki
contributor authorKomori, Takuya
contributor authorKadowaki, Takashi
date accessioned2017-06-09T16:31:42Z
date available2017-06-09T16:31:42Z
date copyright2009/08/01
date issued2009
identifier issn0027-0644
identifier otherams-69452.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4211123
description abstractThe Japan Meteorological Agency (JMA) Typhoon Ensemble Prediction System (TEPS) and its performance are described. In February 2008, JMA started an operation of TEPS that was designed for providing skillful tropical cyclone (TC) track predictions in both deterministic and probabilistic ways. TEPS consists of 1 nonperturbed prediction and 10 perturbed predictions based on the lower-resolution version (TL319L60) of the JMA Global Spectral Model (GSM; TL959L60) and a global analysis for JMA/GSM. A singular vector method is employed to create initial perturbations. Focusing on TCs in the western North Pacific Ocean and the South China Sea (0°?60°N, 100°E?180°), TEPS runs 4 times a day, initiated at 0000, 0600, 1200, and 1800 UTC with a prediction range of 132 h. The verifications of TEPS during the quasi-operational period from May to December 2007 indicate that the ensemble mean track predictions statistically have better performance as compared with the control (nonperturbed) predictions: the error reduction in the 5-day predictions is 40 km on average. Moreover, it is found that the ensemble spread of tracks is an indicator of position error, indicating that TEPS will be useful in presenting confidence information on TC track predictions. For 2008 when TEPS was in operational use, however, it was also found that the ensemble mean was significantly worse than the deterministic model (JMA/GSM) out to 84 h.
publisherAmerican Meteorological Society
titleTyphoon Ensemble Prediction System Developed at the Japan Meteorological Agency
typeJournal Paper
journal volume137
journal issue8
journal titleMonthly Weather Review
identifier doi10.1175/2009MWR2697.1
journal fristpage2592
journal lastpage2604
treeMonthly Weather Review:;2009:;volume( 137 ):;issue: 008
contenttypeFulltext


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