Papers

Learn more about AI2's Lasting Impact Award
Viewing 1-7 of 7 papers
  • Domain-Specific Multi-Level IR Rewriting for GPU: The Open Earth Comp

    Gysi, T., C. Müller, T. Grosser, T. Hoefler, O. Zinenko, O. Fuhrer, E. Davis, and T. WickyACM Transactions on Architecture and Code Optimization2021 Most compilers have a single core intermediate representation (IR) (e.g., LLVM) sometimes complemented with vaguely defined IR-like data structures. This IR is commonly low-level and close to machine instructions. As a result, optimizations relying on domain…
  • 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. HarrisEarth and Space Science Open Archive2021 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…
  • fv3gfs-wrapper: a Python wrapper of the FV3GFS atmospheric model

    McGibbon, J., N. Brenowitz, M. Cheeseman, S. K. Clark, J. Dahm, E. Davis, O. D. Elbert, R. C. George, L. M. Harris, B. Henn, A. Kwa, W. A. Perkins, O. Watt-Meyer, T. Wicky, C. S. Bretherton, and O. Fuhrer,Geoscientific Model Development2021 Simulation software in geophysics is traditionally written in Fortran or C++ due to the stringent performance requirements these codes have to satisfy. As a result, researchers who use high-productivity languages for exploratory work often find these codes…
  • Correcting weather and climate models by machine learning nudged historical simulations

    Watt-Meyer, O., N. Brenowitz, S. K. Clark, B. Henn, A. Kwa, J. McGibbon, W. A. Perkins, and C. S. BrethertonGeophysical Research Letters2021 Due to limited resolution and inaccurate physical parameterizations, weather and climate models consistently develop biases compared to the observed atmosphere. Using the FV3GFS model at coarse resolution, we propose a method of machine learning corrective…
  • GridTools: A framework for portable weather and climate applications

    Afanasyev, A., M. Bianco, L. Mosimann, C. Osuna, F. Thaler, H. Vogt, O. Fuhrer, J. VandeVondele, and T. C. SchulthessElsevier2021 Weather forecasts and climate projections are of tremendous importance for economical and societal reasons. Software implementing weather and climate models is complex to develop and hard to maintain, and requires a large range of different competencies…
  • GFDL SHiELD: A Unified System for Weather-to-Seasonal Prediction

    Harris L., Zhou L. ,Lin S, Chen J., Chen X., Gao K., Morin M., Rees S., Sun Y., Tong M., Xiang B., Bender M., Benson R., Cheng K., Clark S., Elbert O. D, Hazelton A., Huff J., Kaltenbaugh A., Liang Z., Marchok T., Hailey Shin H, Stern WJournal of Advances in Modeling Earth Systems2020 We present the System for High-resolution prediction on Earth-to-Local Domains (SHiELD), an atmosphere model developed by the Geophysical Fluid Dynamics Laboratory (GFDL) coupling the nonhydrostatic FV3 Dynamical Core to a physics suite originally taken from…
  • Dawn: A high-level domain-specific language compiler toolchain for weather and climate applications

    Carlos Osuna, Tobias Wicky, Fabian Thuering, Torsten Hoefler, Oliver FuhrerSFI2020 High-level programming languages that allow to express numerical methods and generate efficient parallel implementations are of key importance for the productivity of domain-scientists. The diversity and complexity of hardware architectures is imposing a huge…