Description:

Gaps, needs and opportunities for developing future Earth prediction systems, including recent work on numerics, physics, next-gen technologies, machine learning, artificial intelligence, observations, and data assimilation. How data is inspiring innovation in community model development efforts. Coupled applications and impacts to the future of Earth prediction systems, including air quality, wildfire and fire hazards. Current status, innovations, applications, and future developments