vix.ing · top · new · best · stats · spec

Spencer K. Clark

  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 · 42 citations
    Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #Atmospheric sciences #Climatology #Convection #Cryospheric studies and observations #Environmental science #Geography #Geology #Madden–Julian oscillation #Meteorology #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 · 19 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. ACE2-SOM: Coupling an ML atmospheric emulator to a slab ocean and learning the sensitivity of climate to changed CO2
    2024/12/05 by Spencer K. Clark, Clark, Spencer K., Oliver Watt-Meyer +18 · 1 voice · 5 citations
    Earth and Planetary Sciences · Environmental Science · Physics and Astronomy · #Atmospheric and Environmental Gas Dynamics #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences #Ocean Acidification Effects and Responses #physics.ao-ph
  4. Machine Learning Climate Model Dynamics: Offline versus Online Performance
    2020/11/05 by Noah Brenowitz, Brenowitz, Noah D., Brian Henn +13 · 2 citations
    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)
  5. The Precipitation Response to Warming and CO2 Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models
    2024/03/27 by Ilai Guendelman, Timothy M. Merlis, Kai‐Yuan Cheng +7 · 1 voice · 1 citation
    Earth and Planetary Sciences · Environmental Science · #Climate variability and models #Meteorological Phenomena and Simulations #Tropical and Extratropical Cyclones Research
  6. Machine-learned climate model corrections from a global storm-resolving model
    2022/11/21 by Anna Kwa, Spencer K. Clark, Kwa, Anna +15 · 1 citation
    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 #Geophysics and Gravity Measurements #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations
  7. 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