Cornell University contribution to the DoE grant: A Framework for Improving Analysis and Modeling of Earth System and Intersectoral Dynamics at Regional Scales (HyperFACETS).

Content

  • Overview
  • Publications
  • Cornell Team
  • Professor Pryor's Homepage

    • Overview

    This collaboration between Cornell University and the National Center for Atmospheric Research (NCAR) will develop a coordinated and well documented containerized framework for the Weather Research and Forecasting (WRF) model that seamlessly integrates a new multi-node WRF container, an optimized Model Evaluation Tools (METplus) container, and an enhanced Analysis and Visualization container for more productive research. The Integrated WRF Framework (I-WRF) supports multi-node simulations, thus enabling research-grade applications, i.e. simulations covering large domains at high spatial discretization. I-WRF’s coordinated capabilities and ease of use enable a wider range of researchers—atmospheric scientists, civil engineers, agricultural scientists, and more—to run their own modeling activities, followed by convenient interaction with the results, including evaluation and visualizations. The I-WRF container is designed for optimal portability and reproducibility of results for traceability of research. The integrated framework and container features will be tested and validated on the latest parallel HPC and cloud platforms by CI researchers and use case scientists who will scale studies on the evolution of renewable energy generation in a changing climate, the effect of land use and climate change on severe weather events, and the relation between air quality and human morbidity and mortality. On the other end of the computational spectrum, these exact same containers will serve as the vehicles for introducing students to numerical atmospheric simulations and output evaluation at WRF and METplus tutorials and in classroom curricula at universities.
    The containerized end-to-end system demonstrations for these use cases have been selected to: (1) represent important themes within geoscience, engineering, and sustainability (e.g., the energy transition, land use/land cover (LULC) feedbacks to climate change, and social vulnerability), (2) include a range of WRF model configurations, (3) represent high compute-burden simulations. See full details at the project site: https://i-wrf.org/

    Publications

    Knepper, R., Pryor, S.C., Wineholt, B, Bukovsky, M. & Lee, J. (2023). The I-WRF Framework: Containerized Weather Modeling, Validation, and Verification. Proceedings of the Practice and Experience in Advanced Research Computing (PEARC23).

    Presentations

  • Knepper R., Pryor S.C., Zhou X., Lee J.A. and Haupt S.E. (2024): I-WRF: Containerized WRF, MET, and MET Plus for Portability, Scaling, and Outreach, 10th Symposium on High Performance Computing for Weather, Water, and Climate, American Meteorological Society Conference, January-February 2024, Baltimore
  • Knepper, R., Pryor, S.C., Haupt, S.E. & Lee, J (2023). CSSI: Frameworks: Large Scale Atmospheric Research Using an Integrated WRF Modeling, Visualization, and Verification Framework (I-WRF).. Poster presented at the 2023 NSF CSSI PI Meeting, Houston, TX.
  • Zhou, X., Letson, F., Crippa, P. & Pryor, S.C. (2022). Urban Impacts on Deep Convection in the Southern Great Plains. Presentation at the American Geophysical Union Fall Meeting 2022.

    Team

  • Dr. Rich Knepper, Cornell Center for Advanced Computing
  • Professor Sara C Pryor, Earth and Atmospheric Sciences
  • Dr Xin Zhou, Post Doc, Earth and Atmospheric Sciences
  • Mr Bennett Wineholt, Cornell Center for Advanced Computing
    • Back to top