AI2Allen Institute for AI

Research

PapersDataVideosDemosLeaderboardsSoftwarePodcasts

Research

Papers

Learn more about AI2's Lasting Impact Award
Viewing 21-27 of 27 papers

  • Tropical Cirrus in Global Storm‐Resolving Models: 1. Role of Deep Convection

    J. Nugent, S. M. Turbeville, C. Bretherton, P. Blossey, T. AckermanEarth and Space Science • 2021 Pervasive cirrus clouds in the upper troposphere and tropical tropopause layer (TTL) influence the climate by altering the top‐of‐atmosphere radiation balance and stratospheric water vapor budget. These cirrus are often associated with deep convection, which…

  • 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 Optimization • 2021 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…

  • 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. FuhrerGeoscientific Model Development • 2021 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 Letters • 2021 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. SchulthessElsevier • 2021 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 Systems • 2020 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 FuhrerSFI • 2020 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…