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dc.contributor.authorWang, Weiguo
dc.contributor.authorSippel, Jason A.
dc.contributor.authorAbarca, Sergio
dc.contributor.authorZhu, Lin
dc.contributor.authorLiu, Bin
dc.contributor.authorZhang, Zhan
dc.contributor.authorMehra, Avichal
dc.contributor.authorTallapragada, Vijay
dc.date.accessioned2019-09-19T10:05:18Z
dc.date.available2019-09-19T10:05:18Z
dc.date.copyright4/5/2018 12:00:00 AM
dc.date.issued2018
dc.identifier.otherwaf-d-17-0115.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261378
dc.description.abstractAbstractThis note describes a modification of the boundary layer parameterization scheme in the Hurricane Weather Research and Forecasting (HWRF) Model, which improves the simulations of low-level wind and surface inflow angle in the eyewall area and has been implemented in the HWRF system and used in the operational system since 2016. The modification is on an observation-based adjustment of eddy diffusivity previously implemented in the model. It is needed because the previous adjustment resulted in a discontinuity in the vertical distribution of eddy diffusivity near the surface-layer top, which increases the friction within the surface layer and compromises the surface-layer constant-flux assumption. The discontinuity affects the simulation of storm intensity and intensification, one of the main metrics of model performance, particularly in strong tropical cyclones. This issue is addressed by introducing a height-dependent adjustment so that the vertical profile of eddy diffusivity is continuous throughout the boundary layer. It is shown that the implementation of the modification results in low-level winds and surface inflow angles in the storm?s eyewall region closer to observations.
dc.publisherAmerican Meteorological Society
dc.titleImproving NCEP HWRF Simulations of Surface Wind and Inflow Angle in the Eyewall Area
dc.typeJournal Paper
dc.journal.volume33
dc.journal.issue3
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/WAF-D-17-0115.1
dc.journal.fristpage887
dc.journal.lastpage898
dc.treeWeather and Forecasting:;2018:;volume 033:;issue 003
dc.contenttypeFulltext


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