activity
20142023
most citedUsing Machine Learning to Calibrate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System

67 citations · 99 across the 6 of their papers we have counts for

collaborators

7 papers

physics.ao-ph2023★ 8 cited

The Effects of Spatial Interpolation on a Novel, Dual-Doppler 3D Wind Retrieval Technique

Jordan P. Brook, Alain Protat, Corey K. Potvin +2

Three-dimensional wind retrievals from ground-based Doppler radars have played an important role in meteorological research and nowcasting over the past four decades. However, in r…

cs.LG2022★ 11 cited

Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction

Montgomery Flora, Corey Potvin, Amy McGovern +1

Machine learning (ML) models are becoming increasingly common in the atmospheric science community with a wide range of applications. To enable users to understand what an ML model…

stat.ML2022★ 13 cited

Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement

Montgomery Flora, Corey Potvin, Amy McGovern +1

With increasing interest in explaining machine learning (ML) models, the first part of this two-part study synthesizes recent research on methods for explaining global and local as…

physics.ao-ph2020★ 67 cited

Using Machine Learning to Calibrate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System

Montgomery Flora, Corey K. Potvin, Patrick S. Skinner +2

A primary goal of the National Oceanic and Atmospheric Administration (NOAA) Warn-on-Forecast (WoF) project is to provide rapidly updating probabilistic guidance to human forecaste…

physics.ao-ph2018

Possible Implications of Self-Similarity for Tornadogenesis and Maintenance

Pavel Bělík, Brittany Dahl, Douglas Dokken +3

Self-similarity in tornadic and some non-tornadic supercell flows is studied and power laws relating various quantities in such flows are demonstrated. Magnitudes of the exponents…

physics.flu-dyn2016

Applications of vortex gas models to tornadogenesis and maintenance

Pavel Bělík, Douglas P. Dokken, Corey K. Potvin +2

Processes related to the production of vorticity in the forward and rear flank downdrafts and their interaction with the boundary layer are thought to play a role in tornadogenesis…

math.DS2014

Possible Implications of a Vortex Gas Model and Self-Similarity for Tornadogenesis and Maintenance

Douglas P. Dokken, Kurt Scholz, Mikhail M. Shvartsman +4

We describe tornadogenesis and maintenance using the 3-dimensional vortex gas model presented in Chorin (1994) and developed further in Flandoli and Gubinelli (2002). We suggest th…