Brian Henn

1. ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses
   2024/11/18 by Oliver Watt‐Meyer, Oliver Watt-Meyer, Watt-Meyer, Oliver +17 · 3 voices · 31 citations
   Earth and Planetary Sciences · #Cryospheric studies and observations #Underwater Acoustics Research #cs.LG #physics.ao-ph
2. ACE: A fast, skillful learned global atmospheric model for climate prediction
   2023/10/03 by Oliver Watt‐Meyer, Gideon Dresdner, Watt-Meyer, Oliver +21 · 12 citations
   Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #FOS: Computer and information sciences #FOS: Physical sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations
3. Machine Learning Climate Model Dynamics: Offline versus Online Performance
   2020/11/05 by Noah Brenowitz, Brian Henn, Brenowitz, Noah D. +13 · 1 citation
   Earth and Planetary Sciences · Engineering · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Data Analysis #Energy Load and Power Forecasting #FOS: Physical sciences #Meteorological Phenomena and Simulations #Statistics and Probability (physics.data-an)