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contributor authorPeng, Shiqiu
contributor authorLi, Yineng
contributor authorGu, Xiangqian
contributor authorChen, Shumin
contributor authorWang, Dongxiao
contributor authorWang, Hui
contributor authorZhang, Shuwen
contributor authorLv, Weihua
contributor authorWang, Chunzai
contributor authorLiu, Bei
contributor authorLiu, Duanling
contributor authorLai, Zhijuan
contributor authorLai, Wenfeng
contributor authorWang, Shengan
contributor authorFeng, Yerong
contributor authorZhang, Junfeng
date accessioned2017-06-09T17:36:43Z
date available2017-06-09T17:36:43Z
date copyright2015/04/01
date issued2015
identifier issn0882-8156
identifier otherams-88052.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231790
description abstractreal-time regional forecasting system for the South China Sea (SCS), called the Experimental Platform of Marine Environment Forecasting (EPMEF), is introduced in this paper. EPMEF consists of a regional atmosphere model, a regional ocean model, and a wave model, and performs a real-time run four times a day. Output from the Global Forecast System (GFS) from the National Centers for Environmental Prediction (NCEP) is used as the initial and boundary conditions of two nested domains of the atmosphere model, which can exert a constraint on the development of small- and mesoscale atmospheric perturbations through dynamical downscaling. The forecasted winds at 10-m height from the atmosphere model are used to drive the ocean and wave models. As an initial evaluation, a census on the track predictions of 44 tropical cyclones (TCs) during 2011?13 indicates that the performance of EPMEF is very encouraging and comparable to those of other official agencies worldwide. In particular, EPMEF successfully predicted several abnormal typhoon tracks including the sharp recurving of Megi (2010) and the looping of Roke (2011). Further analysis reveals that the dynamically downscaled GFS forecasts from the most updated forecast cycle and the optimal combination of different microphysics and PBL schemes primarily contribute to the good performance of EPMEF in TC track forecasting. EPMEF, established primarily for research purposes with the potential to be implemented into operations, provides valuable information not only to the operational forecasters of local marine/meteorological agencies or international TC forecast centers, but also to other stakeholders such as the fishing industry and insurance companies.
publisherAmerican Meteorological Society
titleA Real-Time Regional Forecasting System Established for the South China Sea and Its Performance in the Track Forecasts of Tropical Cyclones during 2011–13
typeJournal Paper
journal volume30
journal issue2
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-14-00070.1
journal fristpage471
journal lastpage485
treeWeather and Forecasting:;2015:;volume( 030 ):;issue: 002
contenttypeFulltext


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