85 citations · 551 across the 30 of their papers we have counts for
6 papers · 1 filter
Can AI weather models predict out-of-distribution gray swan tropical cyclones?
Y. Qiang Sun, Pedram Hassanzadeh, Mohsen Zand +3
Predicting gray swan weather extremes, which are possible but so rare that they are absent from the training dataset, is a major concern for AI weather models and long-term climate…
Climate Bistability at the Inner Edge of the Habitable Zone due to Runaway Greenhouse and Cloud Feedbacks
Bowen Fan, Da Yang, Dorian S. Abbot
Understanding the climate dynamics at the inner edge of the habitable zone (HZ) is crucial for predicting the habitability of rocky exoplanets. Previous studies using Global Climat…
Predator and Prey: A Minimum Recipe for the Transition from Steady to Oscillating Precipitation in Hothouse Climates
Da Yang, Dorian S. Abbot, Seth Seidel
In the present tropical atmosphere, precipitation typically exhibits noisy, small-amplitude fluctuations about an average. However, recent cloud-resolving simulations show that in…
Impact of Planetary Parameters on Water Clouds Microphysics
Huanzhou Yang, Thaddeus D. Komacek, Owen B. Toon +4
Potentially habitable exoplanets are targets of great interest for the James Webb Space Telescope and upcoming mission concepts such as the Habitable Worlds Observatory. Clouds str…
Using Explainable AI and Transfer Learning to understand and predict the maintenance of Atlantic blocking with limited observational data
Huan Zhang, Justin Finkel, Dorian S. Abbot +2
Blocking events are an important cause of extreme weather, especially long-lasting blocking events that trap weather systems in place. The duration of blocking events is, however,…
AI can identify Solar System instability billions of years in advance
Dorian S. Abbot, J. D. Laurence-Chasen, Robert J. Webber +2
Rare event schemes require an approximation of the probability of the rare event as a function of system state. Finding an appropriate reaction coordinate is typically the most cha…