School of Meteorology (Defense)

All Faculty Meeting Student Org Events Career Development School of Meteorology Colloquium Social Event/Celebration Academic Calendar National Weather Center Colloquia School of Meteorology (Defense) Boundary Layer, Urban Meteorology and Land-Surface Processes Weather and Climate Systems Convective Meteorology (Mesoscale Dynamics)
May
04

Jiafen Hu – May 4

School of Meteorology MS Thesis Defense   Test of Different Transformation Functions to Hydrometeor and Water Vapor Mixing Ratios for Direct Variational Assimilation of Radar Reflectivity Data   Jiafen Hu Tuesday, May 4th 2:00pm Join Google Meet https://meet.google.com/hcf-kfam-pxk Many issues arose from using highly nonlinear radar reflectivity forward observation operator in three-dimensional variational data assimilation […]

By Markelle Mikkelson |
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Dec
01

Emily Tinney – December 1

School of Meteorology MS Thesis Defense A 13-year Trajectory-Based Analysis of Convection-Driven Changes in Upper Troposphere Lower Stratosphere Composition over the United States   Emily Tinney   Tuesday, December 1, 2020   11:00 am CST     Join Zoom: https://oklahoma.zoom.us/j/93970293102?pwd=QTBoWVN4ZGZoMUNoWThtSndUdHBRZz09 Join our Cloud HD Video Meeting Zoom is the leader in modern enterprise video communications, […]

By Taylor Stephenson |
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Nov
20

Stuart Edris – November 20

School of Meteorology MS Thesis Defense Evaluation of Flash Drought Criteria Component   Stuart Edris   Friday, November 20th 8:00 am   Join Zoom Meeting   https://oklahoma.zoom.us/j/92299356131?pwd=bis4V21ySHFyT3FmQkh3U29MNnp1Zz09 Join our Cloud HD Video Meeting Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and […]

By Taylor Stephenson |
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Nov
19

Melanie Schroers – November 19

School of Meteorology MS Thesis Defense Potential Predictability and Impacts of Subseasonal Extreme Precipitation Events in the United States   Melanie Schroers Thursday, November 19th 2:00pm Join Google Meet: https://meet.google.com/hjt-mbix-mxi   Prediction of climate extremes at the S2S time scale has become a large topic of conversation between researchers and decision makers. Long duration precipitation […]

By Taylor Stephenson |
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Nathan Lis – July 6

ARRC Dissertation Defense Monday, July 6 @ 1:00 PM CT   Drop Size Distribution Retrieval from Radar Data to Enhance the Spectral Bin Classification in Detecting Icing Conditions   Nathan Lis School of Meteorology   Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/152903101 You can also dial in using your phone. United States: +1 (646) […]

By Taylor Stephenson |
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Jun
29

Joel McAuliffe – June 29

School of Meteorology Colloquium   A comparative Convective Study between the Local Particle Filter and Ensemble Kalman Filter with the Gridpoint Statistical Interpolation System   Joel McAuliffe Monday, June 29th 1:00 pm  Join Google Meeting meet.google.com/gpo-dokq-brn   The localized particle filter (LPF) is a recent advance in ensemble data assimilation for numerical weather prediction. Derived […]

By Taylor Stephenson |
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Makenzie Krocak – June 12

School of Meteorology Colloquium If we forecast it, they may (or may not) use it: sub-daily severe weather timing information and its utility for forecasters, stakeholders, and end users Makenzie J Krocak Friday, June 12th 2:00 pm   Join Zoom Meeting https://oklahoma.zoom.us/j/98827021217?pwd=SndZR3VwdlhEeDZ6d0MzWlQ2bkhnQT09 Meeting ID: 988 2702 1217 Password: 975450 Severe weather causes significant damage and […]

By Taylor Stephenson |
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Apr
30

Bo Huang – April 30

School of Meteorology Colloquium   Reducing Sampling Errors of the Background Error Covariance Estimate in Ensemble-based Data Assimilation   Bo Huang  Thursday, April 30 @ 9:00 AM (Central time) https://oklahoma.zoom.us/j/93220661533?pwd=U2x3QzNmUnZ5QmQ2ZzhyMGtaejk5QT09 Meeting ID: 932 2066 1533 Password: 893184   Ensemble-based data assimilation (DA) estimates forecast error in a flow-dependent fashion, in contrast to the traditional variational […]

By Taylor Stephenson |
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Apr
24

Tim Supinie – April 24

 Four-Dimensional Ensemble Kalman Filter Assimilation of High Temporal Resolution Phased Array Radar Data With Real Convective Storm Cases   Tim Supinie Friday, April 24th 2:00 PM CDT   Join Zoom Meeting https://oklahoma.zoom.us/j/592764373?pwd=bkMySkU2bEorWDVjSytqanhRNXF6dz09   Zoom Meeting ID: 592 764 373 Password: 423984   With the US National Weather Service (NWS) Weather Surveillance Radar-1988 Doppler (WSR-88D) radar network […]

By Taylor Stephenson |
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Apr
08

Ryan Lagerquist- April 8

Using Deep Learning to Improve Prediction and Understanding of High-impact Weather Ryan Lagerquist Wednesday, April 8th 11:00 am  https://oklahoma.zoom.us/j/822210097 Zoom password: 596031   I describe the application of convolutional neural networks (CNN), a type of deep-learning method, to high-impact weather.  CNNs are specially designed to learn directly from spatial grids, which improves both skill and interpretability.  […]

By Taylor Stephenson |
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