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dc.contributor.authorLiu, Hao-Yan
dc.contributor.authorWang, Yuqing
dc.contributor.authorXu, Jing
dc.contributor.authorDuan, Yihong
dc.date.accessioned2019-09-19T10:05:21Z
dc.date.available2019-09-19T10:05:21Z
dc.date.copyright3/2/2018 12:00:00 AM
dc.date.issued2018
dc.identifier.otherwaf-d-17-0139.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261389
dc.description.abstractAbstractThis study extends an earlier dynamical initialization (DI) scheme for tropical cyclones (TCs) to situations under the influence of terrain. When any terrain lower than 1 km exists between 150 and 450 km from the TC center, topographic variables are defined and a filtering algorithm is used to remove noise due to the presence of terrain before the vortex separation is conducted. When any terrain higher than 1 km exists between 150 and 300 km from the TC center, or the TC center is within 150 km of land, a semi-idealized integration without the terrain is conducted to spin up an axisymmetric TC vortex before the inclusion of the terrain and the merging of the TC vortex with the large-scale analysis field. In addition, a procedure for the vortex size/intensity adjustment is introduced to reduce the initial errors before the forecast run. Two sets of hindcasts, one without (CTRL run) and one with the new DI scheme (DI run), are conducted for nine TCs affected by terrain over the western North Pacific in 2015. Results show that the new DI scheme largely reduces the initial position and intensity errors. The 72-h position errors and the intensity errors up to the 36-h forecasts are smaller in DI runs than in CTRL runs and smaller than those from the HWRF forecasts for the same TCs as well. The new DI scheme is also shown to produce the TC inner-core structure and rainbands more consistent with satellite and radar observations.
dc.publisherAmerican Meteorological Society
dc.titleA Dynamical Initialization Scheme for Tropical Cyclones under the Influence of Terrain
dc.typeJournal Paper
dc.journal.volume33
dc.journal.issue3
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/WAF-D-17-0139.1
dc.journal.fristpage641
dc.journal.lastpage659
dc.treeWeather and Forecasting:;2018:;volume 033:;issue 003
dc.contenttypeFulltext


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