Thesis Defense Forecasting Quasi-Linear Convective Systems and Mesovortex Tornado Potential Using the Warn-on-Forecast System (WoFS) Kelsey Britt Friday, July 19th, 2024 NWC 5600 / 2:00 pm If unable to attend in person Join Google Meet: meet.google.com/vyc-upgp-odw Abstract: Quasi-linear convective systems (QLCSs) can produce multiple hazards (e.g., straight-line winds, flash flooding, and mesovortex tornadoes) that pose […]
Thesis Defense Evaluation of Flash Drought Identification with Machine Learning Techniques Stuart Edris Thursday, July 18th, 2024 NWC 5930/ 2:00 pm If unable to attend in person join Zoom: https://oklahoma.zoom.us/j/97232856348?pwd=Up4mE8cmbw2bjrGfBiPs8daJPN5QTc.1 Abstract: Droughts are extreme dry events that decrease an ecosystems and societys availability of water resources, leading to impacts on vegetation health and agricultural production […]
Thesis Defense Creating Grid-Based Machine Learning Severe Weather Guidance for Watch-to-Warning Lead Times in the Warn-on-Forecast System Sam Varga Thursday, July 18th, 2024 NWC 5930 / 10:00 am If unable to attend in person join Google Meet: https://meet.google.com/hzj-xasw-onq Abstract: The Warn-on-Forecast System (WoFS) is a rapidly updating convection-allowing ensemble focused on providing numerical guidance at Watch-to-Warning […]
Thesis Defense Identification and Verification of Mesoscale Convective Systems in the Models of the High-Resolution Ensemble Forecast System Jeffrey Milne Tuesday, July 16th , 2024 NWC 5930 / 9:30 am Abstract: To better understand the characteristics of storms produced by forecast models and those seen in observations, contiguous and nearly contiguous radar objects with reflectivity […]
Thesis Defense Characterizing the Effects of Land Cover Changes on the Spatiotemporal and Microphysical Properties of Convective Cells in Houston, Texas Oluwafemi Omitusa Friday, July 12th, 2024 RIL 202 / 11:00 am Abstract: This study examines the behavior and microphysical properties of convective cells across different environments in the Houston metropolitan area during summer 2022. […]
Master’s Thesis Defense Evolution of Cloud Organization Within Observed Rainfall Events during the DYNAMO/AMIE Field Campaign Theresa Lincheck Friday, July 12th, 2024 NWC 5930 / 10:00 am If unable to attend in person Join Zoom: https://oklahoma.zoom.us/j/98217144644?pwd=bnE2R3c4TzMyY0xWeWpIVVVubTExQT09 Abstract: Tropical convective organization is important for the modulation of the climate on a range of spatial-temporal scales, however […]
Master’s Thesis Defense Title: Impact of Assimilating Lower Atmospheric Boundary Layer Observations from Uncrewed Aerial Systems on Short-Term Probabilistic Predictions of a Tornadic Supercell Event Jordan Tweedie Thursday, July 11th , 2024 NWC 5600 / 9:00 am If unable to attend in person Join Zoom: https://oklahoma.zoom.us/j/93541724468?pwd=UfxzqiqmmGyMvphYLWkH0Wej7o3C0b.1
Thesis Defense An Examination of the Behavior of a Giant Hail-Producing Supercell in Oklahoma on 23 MAY 2011 Using Data from Five Doppler Radars Leah Swinney Wednesday, July 10th , 2024 NWC 5600 / 10:00 am If unable to attend in person Join Zoom: https://oklahoma.zoom.us/j/97510872286 Abstract: Dual-polarization radar observations are valuable for identifying the location […]
NWC Seminar Observations and Simulations of the Marine Boundary Layer Cloud Condensation Nuclei over the Southern Ocean Qing Niu Tuesday, July 2nd, 2024 Skype / 4:00 PM Central https://join.skype.com/ZtXooVnUoqD8 Abstract: Ship-borne observations acquired during the 2017-2018 Measurement of Aerosols, Radiation, and CloUds over the pristine Southern Ocean (MARCUS) Experiment, providing unique data on aerosols latitudinal […]
PhD Defense Expert-Guided Machine Learning for Meteorological Predictions Across Spatio-Temporal Scales Amanda Burke Tuesday, July 2nd, 2024 Zoom / 12:00 pm https://oklahoma.zoom.us/j/94120953482?pwd=w0hj5XwYsWb5mTsxuoeE6FrysEbKO8.1 Abstract: In satellite imagery, above-anvil cirrus plumes (plumes) serve as critical indicators of impending severe weather, often appearing 30 minutes before reported events. Their real-time identification is particularly valuable in radar-deficient regions, where […]