Austin Dixon – April 16
Convective Meteorology (Mesoscale Dynamics) Seminar Vorticity Characteristics During Tornadogenesis in a High Resolution, Violently Tornadic Supercell Simulation Austin Dixon Friday, April 16th 3:00pm Join Google Meet: https://meet.google.com/ksh-txvg-kni It’s no stretch to say that the exact process of tornadogenesis remains somewhat of a mystery. Having the “tornado-in-a-bottle” scenario that we have here […]
Morgan Schneider – April 9
Convective Meteorology (Mesoscale Dynamics) Quantifying and Mitigating Debris-Induced Bias in Doppler Radar Measurements of Tornadic Winds Morgan Schneider Friday, April 9th 3:00pm Join Google Meet: https://meet.google.com/ksh-txvg-kni Lofting and centrifuging of tornadic debris are known to cause bias in Doppler radar measurements of tornado wind speeds. Debris presence within a resolution volume is consistently […]
Martin Satrio – April 2
Convective Meteorology (Mesoscale Dynamics) Seminar A Preliminary Radar Investigation of the 17 May 2021 McCook / Farnam, NE Tornadic Supercell during TORUS Martin Satrio Friday, April 2nd 3:30 pm Join Google Meet https://meet.google.com/ksh-txvg-kni While numerical simulations have highlighted the importance of the streamwise vorticity current (SVC) in modulating the low-level mesocyclone in supercells, […]
Ben J. Davis – March 26
Convective Meteorology (Mesoscale Dynamics) Seminar Frequent Assimilation of Enhanced AMVs Using Hybrid EnVar to Improve Hurricane Prediction Ben J. Davis Friday, March 26th 3:30pm Join Google Meet https://meet.google.com/ksh-txvg-kni Novel high frequency, high resolution enhanced atmospheric motion vector (AMV) data is assimilated in Hurricane Irma (2017). The enhanced AMV data set has sub-hourly frequency, 6 […]
Logan Roy – March 26
Convective Meteorology (Mesoscale Dynamics) Seminar An Introduction to the Cloud Particle Model: A Novel Particle Based Cloud Microphysics Numerical Model Logan Roy Friday, March 26th 3:00 pm Join Google Meet https://meet.google.com/ksh-txvg-kni Numerical weather prediction and climate models have large uncertainties associated with representing clouds and microphysical properties and processes, which involve a […]
John D’Alessandro – March 19
Convective Meteorology (Mesoscale Dynamics) Seminar Characterizing the occurrence and spatial heterogeneity of liquid, ice and mixed phase clouds over the Southern Ocean using in situ observations John D’Alessandro Friday, March 19th 3:00pm Join Google Meet https://meet.google.com/ksh-txvg-kni Low level clouds over the Southern Ocean are an essential component controlling the energy budget over the region, […]
Rachael Cross – March 12
Convective Meteorology (Mesoscale Dynamics) Seminar Exploring Observational Tornado Debris Signature Hypotheses Using Radar Simulations and Large-Eddy Simulations Rachael Cross Friday, March 12th 3:00pm Join Google Meet https://meet.google.com/ksh-txvg-kni Tornadoes can loft various types and sizes of debris, sometimes resulting in a polarimetric radar signature called the TDS (Tornado Debris Signature). The presence of a TDS in the radar data […]
Kevin Thiel – February 26
Convective Meteorology (Mesoscale Dynamics) Investigating GLM flash optical energy measurements with ABI and MRMS datasets Kevin Thiel Friday, February 26th 3:00 pm Join Google Meet https://meet.google.com/ksh-txvg-kni Abstract: Recent deployment of the Geostationary Lightning Mapper (GLM) on the GOES-R series of satellites provides a new perspective of convection that can be utilized by the severe storms […]
Jessica Blair – February 19
Convective Meteorology (Mesoscale Dynamics) Seminar Modeling CCN effects on Electrification within High and Low Precipitation Supercells Jessica Blair Friday, February 19th 3:00pm Join Google Meet https://meet.google.com/ksh-txvg-kni Cloud condensation nuclei (CCN) affect both the electric and dynamic evolution of storms, but the effects on storm electrification in different storm modes have not […]
Amanda Burke – February 12
Convective Meteorology (Mesoscale Dynamics) Seminar Preliminary Analysis of Hail Size Prediction using Deep Learning Models Amanda Burke Friday, February 12th 3:30pm Join Google Meet https://meet.google.com/ksh-txvg-kni Using Deep learning (DL) models to predict different atmospheric phenomena has rapidly grown in the past few years. The ability to learn both spatial and temporal data patterns, instead of distributions, highlights one reason why DL […]