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contributor authorZhang, Shengjun
contributor authorLi, Tim
contributor authorGe, Xuyang
contributor authorPeng, Melinda
contributor authorPan, Ning
date accessioned2017-06-09T17:35:30Z
date available2017-06-09T17:35:30Z
date copyright2012/04/01
date issued2011
identifier issn0882-8156
identifier otherams-87734.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231436
description abstractcombined tropical cyclone dynamic initialization?three-dimensional variational data assimilation scheme (TCDI?3DVAR) is proposed. The specific procedure for the new initialization scheme is described as follows. First, a first-guess vortex field derived from a global analysis will be spun up in a full-physics mesoscale regional model in a quiescent environment. During the spinup period, the weak vortex is forced toward the observed central minimum sea level pressure (MSLP). The so-generated balanced TC vortex with realistic MSLP and a warm core is then merged into the environmental field and used in the subsequent 3DVAR data assimilation. The observation system simulation experiments (OSSEs) demonstrate that this new TC initialization scheme leads to much improved initial MSLP, warm core, and asymmetric temperature patterns compared to those from the conventional 3DVAR scheme. Forecasts of TC intensity with the new initialization scheme are made, and the results show that the new scheme is able to predict the ?observed? TC intensity change, compared to runs with the conventional 3DVAR scheme or the TCDI-only scheme. Sensitivity experiments further show that the intensity forecasts with knowledge of the initial MSLP and wind fields appear more skillful than do the cases where the initial MSLP, temperature, and humidity fields are known. The numerical experiments above demonstrate the potential usefulness of the proposed new initialization scheme in operational applications. A preliminary test of this scheme with a navy operational model shows encouraging results.
publisherAmerican Meteorological Society
titleA 3DVAR-Based Dynamical Initialization Scheme for Tropical Cyclone Predictions
typeJournal Paper
journal volume27
journal issue2
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-10-05066.1
journal fristpage473
journal lastpage483
treeWeather and Forecasting:;2011:;volume( 027 ):;issue: 002
contenttypeFulltext


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