@inproceedings{7e45a1a17f3a436985c9047fa2eb3c6a,
title = "The I-WRF Framework: Containerized Weather Modeling, Validation, and Verification",
abstract = "We describe the I-WRF project for the NSF Cyberinfrastructure for Sustained Scientific Innovation program, which provides a framework for application containers that allow the Weather Research and Forecasting Model (WRF) software and accompanying MET and METplus validation software to be run on a wide range of resources with minimal installation requirements. I-WRF will support three major science use cases that quantify impacts of environmental or human developments together with climate change on critical outcomes. I-WRF is also intended to facilitate outreach by making it easier to provide training and demonstrations to build understanding and interest for new potential atmospheric scientists.",
keywords = "application containers, orchestration, weather modeling",
author = "Richard Knepper and Sara Pryor and Bennett Wineholt and Melissa Bukovsky and Jared Lee and Xin Zhou",
note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 2023 Practice and Experience in Advanced Research Computing, PEARC 2023 ; Conference date: 23-07-2023 Through 27-07-2023",
year = "2023",
month = jul,
day = "23",
doi = "10.1145/3569951.3597547",
language = "English",
series = "PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing",
publisher = "Association for Computing Machinery, Inc",
pages = "206--210",
booktitle = "PEARC 2023 - Computing for the common good",
}