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Master’s Thesis Defense: Miss Teresa Turner

July 13, 2020 @ 2:30 pm - 4:30 pm

Due to the COVID-19 Pandemic, the University has instruction to cancel all in-person events through the Summer semester to adhere to city and state orders limiting public gatherings. Events still running must now take place Online— listed events will include a link in which one may access the Online webspace:

To view Miss Turner’s defense, enter her Online chatroom via Microsoft Teams— it will open one hour prior to the event at 2:30 pm on Monday, July 13.

Predicting peak wind gusts during specific weather types with the meteorologically stratified guest factor model

Miss Teresa Turner
University of Wisconsin-Milwaukee
MS Graduate Student – Teaching Assistant

Peak wind gusts were estimated by the meteorologically stratified gust factor model at Milwaukee, WI (KMKE) for eight different weather types during 2010-2017. The gust factor model couples gust factors with wind speed and direction forecast guidance to produce peak gust forecasts. The model evaluated used two model output statistics (MOS) guidance products at lags ranging from 6-24 hr and was compared with peak gust forecasts provided by the Localized Aviation MOS Program (LAMP) as well as observed gusts reported by automated surface observing systems (ASOS).
Compared with climatology, the gust factor model showed skill when coupled with MOS in predicting peak gusts during most of the eight weather types at the analyzed lags of 06 hr, 12 hr, 18 hr, and 24 hr. The MOS products results performed similarly for each of the weather types. The gust factor model does not show skill during convective weather situations, in part because during these conditions the provided MOS wind speed and direction forecasts are less accurate. This is important for operational wind forecasting, because this method can be used for many non-convective gust-producing weather situations.

Committee Members:
Profs. Clark Evans, Jonathan Kahl, Paul Roebber

Details

Date:
July 13, 2020
Time:
2:30 pm - 4:30 pm
Event Category: