We intend to build a clearinghouse of internal and public resources for NOAA, that leverage standard development environments including Google Colab offsite link, Binder offsite link, and Github offsite link. Our goal is to offer a library to search, discover, and tailor accessible knowledge. From tutorials to best practices, we aspire to offer materials, training, and ideas.
2021 Pilot Resource Gap Assessment

As part of the NOAA Artificial Intelligence strategy, NCAI conducted a pilot training resource gap assessment in Spring 2021. The primary purpose of the assessment was to gather training deficiencies, needs, and priorities across the NOAA workforce.
Survey respondents agreed that NOAA currently lacks sufficient access to training to incorporate artificial intelligence (AI) in ways that would contribute to the overall NOAA mission. Respondents indicated that this prohibits the ability of the workforce to become AI literate and proficient. At all levels of NOAA and with different roles in the AI development cycle (i.e., practitioner, user, manager), respondents requested access to NOAA-specific training material using NOAA data and computing resources to remove common barriers to the “Research to Operations, Applications, and Services” pipeline.
To address the workforce training needs, resource creation should be prioritized to convert NOAA AI success stories into interactive training material in a computing environment that allows the workforce to immediately apply learning outcomes to support NOAA’s mission via the AI strategy.
Image caption: NOAA training action priority lifecycle highlighted by workforce role and relationship to AI.
Resources



The AI4ESS Summer School interactive course by the National Center for Atmospheric Research (NCAR UCAR) covers essential and cutting edge topics in artificial intelligence, machine learning, and deep learning relevant for Earth system science.

Earth Science Information Partners (ESIP) machine learning cluster developed training tutorials focusing on Earth science applications.


AI2ES is a convergent, multi-sector NSF institute led by the University of Oklahoma that brings together researchers in AI, atmospheric science, ocean science, and risk communication.