Climate Modeling
Climate Modeling for the future of the planet
Since the early days of climate modeling, software, hardware, and the way that engineers and scientists collaborate have gone through incredible transformations. Better data and technologies will inform how we mitigate and adapt to global impacts, such as sea level rise, community destruction, and biodiversity loss.
Recent Updates
AI2 CM demonstrates ML correction improves multiyear GCM simulations over multiple climates
June 15, 2022This preprint (an AI2/GFDL collaboration in review for JAMES) shows the first demonstration of inline corrective ML improving climate model…
Are global storm resolving models good for simulating cirrus clouds?
April 20, 2022This paper and a companion by Turbeville et al. were NSF-sponsored collaborations between Bretherton and co-workers at the University of Washington…
Glaciation of supercooled cumulus clouds by rime splintering affects Southern Ocean albedo in a GSRM
April 20, 2022This paper was an NSF-sponsored collaboration between Bretherton and co-workers at the University of Washington and Stony Brook University. Five-day…
Bretherton et al. 2022 paper chosen as AGU Editor's Highlight in Eos
March 15, 2022Our recent corrective ML paper was selected as an AGU Editor's Highlight in Eos, their weekly newsletter. Only 2% of all AGU publications are so…
Read our new paper on corrective ML to improve climate models using fine-grid reference models
January 22, 2022The Climate Modeling ML group's first paper applying corrective machine learning to make a computationally efficient coarse-grid global climate model…
Recent Papers
Correcting a coarse-grid climate model in multiple climates by machine learning from global 25-km resolution simulations
Spencer K. Clark, Noah D. Brenowitz, Brian Henn, Anna Kwa, Jeremy McGibbon, W. Andre Perkins, Oliver Watt-Meyer, Christopher S. Bretherton, Lucas M. Harris Earth and Space Science Open Archive • 2022 Bretherton et al. (2022, https://doi.org/10.1029/2021MS002794) demonstrated a successful approach for using machine learning (ML) to help a coarse-resolution global atmosphere model with real geography (a ~200 km version of NOAA’s FV3GFS) evolve more like a…Productive Performance Engineering for Weather and Climate Modeling with Python
Tal Ben-Nun, Linus Groner, Florian Deconinck, Tobias Wicky, Eddie Davis, Johann P. S. Dahm, Oliver D. Elbert, Rhea George, Jeremy McGibbon, Lukas Trümper, Elynn Wu, Oliver Fuhrer, Thomas Schulthess, Torsten HoeflerarXiv • 2022 Earth system models are developed with a tight coupling to target hardware, often containing highly-specialized code predicated on processor characteristics. This coupling stems from using imperative languages that hard-code computation schedules and layout…Hallett‐Mossop Rime Splintering Dims Cumulus Clouds Over the Southern Ocean: New Insight From Nudged Global Storm‐Resolving Simulations
R. Atlas, C. Bretherton, M. Khairoutdinov, P. BlosseyAGU Advances • 2022 In clouds containing both liquid and ice with temperatures between −3°C and −8°C, liquid droplets collide with large ice crystals, freeze, and shatter, producing a plethora of small ice splinters. This process, known as Hallett‐Mossop rime splintering, and…Correcting Coarse-Grid Weather and Climate Models by Machine Learning From Global Storm-Resolving Simulations
Bretherton, C. S., B. Henn, A. Kwa, N. D. Brenowitz, O. Watt-Meyer, J. McGibbon, W. A. Perkins, S. K. Clark, and L. HarrisJournal of Advances in Modeling Earth Systems • 2022 Global atmospheric `storm-resolving' models with horizontal grid spacing of less than 5~km resolve deep cumulus convection and flow in complex terrain. They promise to be reference models that could be used to improve computationally affordable coarse-grid…Tropical Cirrus in Global Storm‐Resolving Models: 2. Cirrus Life Cycle and Top‐of‐Atmosphere Radiative Fluxes
S. M. Turbeville, J. M. Nugent, T. Ackerman, C. Bretherton, P. BlosseyEarth and Space Science • 2021 Cirrus clouds of various thicknesses and radiative characteristics extend over much of the tropics, especially around deep convection. They are difficult to observe due to their high altitude and sometimes small optical depths. They are also difficult to…
Team
Chris BrethertonResearch
Oliver FuhrerResearch
Noah BrenowitzResearch
Spencer ClarkResearch & Engineering
Johann DahmEngineering
Florian DeconinckEngineering
Oliver ElbertEngineering
Brian HennResearch & Engineering
Anna KwaEngineering
Jeremy McGibbonResearch & Engineering
Andre PerkinsResearch & Engineering
Oliver Watt-MeyerEngineering
Tobias WickyEngineering
Elynn WuEngineering