33 citations · 92 across the 10 of their papers we have counts for
3 papers · 1 filter
Predicting rare events using neural networks and short-trajectory data
John Strahan, Justin Finkel, Aaron R. Dinner +1
Estimating the likelihood, timing, and nature of events is a major goal of modeling stochastic dynamical systems. When the event is rare in comparison with the timescales of simula…
Revealing the statistics of extreme events hidden in short weather forecast data
Justin Finkel, Edwin P. Gerber, Dorian S. Abbot +1
Extreme weather events have significant consequences, dominating the impact of climate on society. While high-resolution weather models can forecast many types of extreme events on…
Snow topography on undeformed Arctic sea ice captured by an idealized "snow dune" model
Predrag Popović, Justin Finkel, Mary C. Silber +1
Our ability to predict the future of Arctic sea ice is limited by ice's sensitivity to detailed surface conditions such as the distribution of snow and melt ponds. Snow on top of t…