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contributor authorHendricks, Eric A.
contributor authorJin, Yi
contributor authorMoskaitis, Jonathan R.
contributor authorDoyle, James D.
contributor authorPeng, Melinda S.
contributor authorWu, Chun-Chieh
contributor authorKuo, Hung-Chi
date accessioned2017-06-09T17:36:56Z
date available2017-06-09T17:36:56Z
date copyright2016/04/01
date issued2015
identifier issn0882-8156
identifier otherams-88114.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231859
description abstractigh-impact Typhoon Morakot (2009) was investigated using a multiply nested regional tropical cyclone prediction model. In the numerical simulations, the horizontal grid spacing, cumulus parameterizations, and microphysical parameterizations were varied, and the sensitivity of the track, intensity, and quantitative precipitation forecasts (QPFs) was examined. With regard to horizontal grid spacing, it is found that convective-permitting (5 km) resolution is necessary for a reasonably accurate QPF, while little benefit is gained through the use of a fourth domain at 1.67-km horizontal resolution. Significant sensitivity of the track forecast was found to the cumulus parameterization, which impacted the model QPFs. In particular, the simplified Arakawa?Schubert parameterization tended to erroneously regenerate the remnants of Tropical Storm Goni to the southwest of Morakot, affecting the large-scale steering flow and the track of Morakot. Strong sensitivity of the QPFs to the microphysical parameterization was found, with the track and intensity showing little sensitivity. It is also found that Morakot?s accumulated precipitation was reasonably predictable, with the control simulation producing an equitable threat score of 0.56 for the 3-day accumulated precipitation using a threshold of 500 mm. This high predictability of precipitation is due in part to more predictable large-scale and topographic forcing.
publisherAmerican Meteorological Society
titleNumerical Simulations of Typhoon Morakot (2009) Using a Multiply Nested Tropical Cyclone Prediction Model
typeJournal Paper
journal volume31
journal issue2
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-15-0016.1
journal fristpage627
journal lastpage645
treeWeather and Forecasting:;2015:;volume( 031 ):;issue: 002
contenttypeFulltext


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