Kwa, Anna

1. ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses
   2024/11/18 by Oliver Watt‐Meyer, Oliver Watt-Meyer, Brian Henn +17 · 3 voices · 30 citations
   Earth and Planetary Sciences · #Cryospheric studies and observations #Underwater Acoustics Research #cs.LG #physics.ao-ph
2. ACE2-SOM: Coupling an ML atmospheric emulator to a slab ocean and learning the sensitivity of climate to changed CO₂
   2024/12/05 by Clark, Spencer K., Watt-Meyer, Oliver, Kwa, Anna +6 · 3 citations
   #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences
3. Machine Learning Climate Model Dynamics: Offline versus Online Performance
   2020/11/05 by Noah Brenowitz, Brenowitz, Noah D., Brian Henn +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)
4. SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators
   2025/09/15 by Duncan, James P. C., Wu, Elynn, Dheeshjith, Surya +15 · 7 citations
   #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
5. HiRO-ACE: Fast and skillful AI emulation and downscaling trained on a 3 km global storm-resolving model
   2025/12/20 by W. Andre Perkins, Anna Kwa, Perkins, W. Andre +15 · 1 voice · 2 citations
   Environmental Science · Earth and Planetary Sciences · #Climate variability and models #Meteorological Phenomena and Simulations #Tropical and Extratropical Cyclones Research