14 papers in the archive.
AERIS is a 1.3 to 80B parameter Swin diffusion transformer reaching 10.2 ExaFLOPS on Aurora, stable to 90-day forecasts and outperforming IFS ENS.
Software, scaling & compressionAllen Institute for AI (Ai2, ACE)Argonne National LaboratoryUniversity of California, Los Angeles (UCLA)University of Chicago
FuXi Weather is an ML system that assimilates multi-satellite observations and produces 10-day global forecasts, outperforming ECMWF HRES in observation-sparse regions like central Africa.
Data assimilationChina Meteorological Administration (CMA)Fudan University (FuXi)Nanjing University of Information Science & Technology (NUIST)Tsinghua University (NowcastNet)University of California, Los Angeles (UCLA)
Neural networks classify US West Coast atmospheric river landfalls back to 1916, and tree-ring regression extends annual AR counts to 1400 CE.
Climate analysis & attributionColumbia University (LEAP, Lamont-Doherty)University of California, Los Angeles (UCLA)
Mixture density networks model monthly wildfire frequency and area burned across the western US, matching annual area burned with r = 0.85 observed.
Extremes & hazardsColumbia University (LEAP, Lamont-Doherty)University of California, Los Angeles (UCLA)
Neural advection-diffusion equation approach to climate modeling; the abstract is missing, so the scope and results cannot be verified.
Climate emulationUniversity of California, Los Angeles (UCLA)
ClimaX is a transformer foundation model pretrained on CMIP6 that fine-tunes to many weather and climate tasks, outperforming data-driven baselines.
Foundation modelsMicrosoft Research (AI for Science)University of California, Los Angeles (UCLA)code
A machine learning framework trained on climate models attributes tropical tropospheric warming: forcing adds 0.25 K/decade, internal variability offsets 0.07, and an aerosol bias adds 0.04.
Climate analysis & attributionNSF NCAR / UCARUniversity of California, Los Angeles (UCLA)Colorado State University (incl. CIRA)
Random forest trained on GFS forecasts and radiometer data predicts zenith atmospheric noise temperature at NASA Deep Space Network sites, enabling up to 2.43 dB downlink gain.
Applications & impactsNASACalifornia Institute of Technology (Caltech)University of California, Los Angeles (UCLA)
UNet post-processing of CFSv2 cuts global precipitation bias from +5–7 mm/day to within ±1 mm/day over land at 1–3 day leads.
Post-processing & calibrationNOAA (incl. GFDL, PSL, GSL, NCEP/EMC)University of California, Los Angeles (UCLA)
Climate-invariant ML embeds physical knowledge into parameterization emulators so they generalize across climate regimes, maintaining offline accuracy in three atmospheric models.
Explainability, uncertainty & physicsColumbia University (LEAP, Lamont-Doherty)Google ResearchMassachusetts Institute of Technology (MIT)NVIDIAUniversity of California, Los Angeles (UCLA)
Machine learning that accounts for model uncertainty detects a physically interpretable anthropogenic signal in extreme precipitation across all global observational datasets.
Climate analysis & attributionUniversity of California, Los Angeles (UCLA)
Random forest retrieves tropical overshooting cloud-top height from Himawari-8 infrared channels against CloudSat, reaching r=0.92 and RMSE 222 m versus 1305 m for interpolation.
Observations & remote sensingUniversity of California, Los Angeles (UCLA)
A deep neural network retrieves high-latitude rain and snow from GMI and MODIS data, largely outperforming GPROF on snowfall and reducing rain underestimation.
Observations & remote sensingNASACalifornia Institute of Technology (Caltech)Tsinghua University (NowcastNet)University of California, Los Angeles (UCLA)University of Oklahoma (AI2ES)
Backpropagation neural networks forecast typhoon wind speeds at three western Taiwan stations, outperforming linear regression across different typhoon tracks.
Local & station forecastingUniversity of California, Los Angeles (UCLA)
