activity
20182022
most citedComparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement

13 citations · 24 across the 2 of their papers we have counts for

collaborators
Showing physics.ao-phShow all

2 papers · 1 filter

physics.ao-ph2020

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…