[Eoas-seminar] Meteorology PhD Defense for Tristan Hall, Tuesday, July 9, 2019, 1:00 PM, LOV353
eoas-seminar at lists.fsu.edu
eoas-seminar at lists.fsu.edu
Tue Jun 25 13:25:00 EDT 2019
PhD Meteorology Candidate
Title: A climatology of U.S. tropical cyclone rainfall, its use in a statistical forecasting technique and an analysis of Global Forecast System tropical cyclone rainfall forecast environments
Major Professor: Dr. Henry Fuelberg
Date: July 9th, 2019 Time: 1:00 PM
Location: Werner A. Baum Seminar Room (353 Love Building)
(Please join us for refreshments served outside room 353 Love @ 12:30 PM)
While advances in tropical cyclone (TC) track forecasting have been substantial over the past few decades, and modest advances in intensity forecasting have occurred more recently, the quality of TC rainfall forecasts has not undergone the same rigorous veriﬁcation. This is despite the 27% of total TC-related deaths being due to rainfall-induced ﬂooding and that rainfall-related deaths occur more frequently than those due to any another weather-related hazard. A continual eﬀort is needed to understand and better-forecast TC rainfall. This dissertation research seeks to contribute to this endeavor.
A climatological dataset is created using 6-h Stage IV rainfall accumulations combined with Best Track 6-h locations for all TCs within 300 km of the U.S. Gulf and Atlantic coastlines during years 2004 – 2013. Stage IV data are used due to their higher spatiotemporal resolution, their extension to high latitudes, and because they have been found to be the superior option when compared to other TC rainfall data sources. The 6-h Stage IV rainfall accumulations are composited by shear magnitude and storm intensity in earth-, motion-, and shear-relative reference frames. Additionally, a full composite comprised of all storms is created. This compositing is done for TCs impacting the U.S. Gulf and Atlantic coastlines. Seven geographical regions are created within this domain to further composite the rainfall. The geographical regions are determined based on 2004 – 2013 Best Track (HURDAT2) landfall locations. Results show that some Stage IV rain rate characteristics, especially those in speciﬁc regions, are diﬀerent when compared to prior ﬁndings based on satellite-derived rain rates.
Results from the Stage IV-derived climatological datasets then are used together with track forecasts from the Global Forecast System (GFS) during years 2014 – 2016 to create 72-h TC rainfall forecasts. Separate forecasts are created for each 6-h TC position forecast based on shear magnitude, storm intensity, and the all-storms composites in earth-, motion-, and shear-relative reference frames. This yielded 1,290 veriﬁable forecasts during the 3-yr period. These statistical rainfall forecasts along with forecasts from the GFS are veriﬁed using the Fractions Skill Score (FSS) metric. Results show that the statistical method based on shear magnitude in a shear relative reference frame that used regional rainfall composites is the best performing of the methods. These preliminary results show that this method is a viable candidate to supplement the GFS in forecasting TC rainfall.
GFS analysis and forecast environmental parameters are composited based on the skill (FSS) of each forecast. Three categories are created: Top (FSS > 0.6), Bottom (FSS < 0.3), and Middle (0.3 < FSS < 0.6). This methodology is based on the desire to provide “guidance on guidance,” i.e., suggesting to a forecaster whether the TC’s environment is conducive to a skillful or not-skillful GFS rainfall forecast. Results show that some aspects of the mean sea level pressure,
1000 – 500 hPa thickness anomalies, eddy ﬂux convergence, and upper-level winds and divergence
diﬀer between skillful and non-skillful TC rainfall forecasts.
Florida State University
Academic Program Specialist
Department of Earth, Ocean, & Atmospheric Science
1017 Academic Way, 410 Love Building (Meteorology)
Tallahassee, FL 32306
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