408 citations · 481 across the 6 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
physics.ao-ph2022★ 1 cited
Understanding Extreme Precipitation Changes through Unsupervised Machine Learning
Griffin Mooers, Tom Beucler, Mike Pritchard +1
Despite the importance of quantifying how the spatial patterns of extreme precipitation will change with warming, we lack tools to objectively analyze the storm-scale outputs of mo…
physics.ao-ph2022★ 4 cited
Comparing Storm Resolving Models and Climates via Unsupervised Machine Learning
Griffin Mooers, Mike Pritchard, Tom Beucler +5
Global Storm-Resolving Models (GSRMs) have gained widespread interest because of the unprecedented detail with which they resolve the global climate. However, it remains difficult…