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contributor authorVan Nguyen, Hiep
contributor authorChen, Yi-Leng
date accessioned2017-06-09T17:31:42Z
date available2017-06-09T17:31:42Z
date copyright2014/11/01
date issued2014
identifier issn0027-0644
identifier otherams-86758.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230351
description abstracthis study makes improvements to the tropical cyclone (TC) initialization method introduced by Nguyen and Chen (i.e., the NC2011 scheme). The authors found that prescribing sea level pressure associated with the initial vortex using a modified Fujita formula has very little impact on the vortex structure and intensity during a series of 1-h model integration and relocation. On the other hand, inserting an artificial warm core makes the vortex spin up much faster. When a warm core is inserted during the initial spinup process, the computational time required for model initialization is reduced by ½??. Because prescribed sea level pressure is not required to spin up the vortex, information on vortex size, such as radius of maximum wind, is no longer needed. The performance of the improved NC2011 scheme with an initial prescribed warm core during the initial spinup process is tested for typhoons that made landfall over southern China or Vietnam in 2006. Before landfall, these storms were over the open ocean where conventional data were sparse, without special observations. Two sets of model runs, with (NC2011-CTRL) and without (CTRL) vortex initialization, are performed for comparison. The initial and time-dependent boundary conditions are from the NCEP Final Analyses (FNL). There are twelve 48-h simulations in each run set. Results show that the vortex initialization improves TC track and intensity simulations.
publisherAmerican Meteorological Society
titleImprovements to a Tropical Cyclone Initialization Scheme and Impacts on Forecasts
typeJournal Paper
journal volume142
journal issue11
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-13-00326.1
journal fristpage4340
journal lastpage4356
treeMonthly Weather Review:;2014:;volume( 142 ):;issue: 011
contenttypeFulltext


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