Sponsors (2)
The bill aims to accelerate AI-enabled, high-resolution weather and climate modeling and workforce development by coordinating HPC access and funding, improving forecasts and research, but does so at material taxpayer cost and with risks of centralization, unequal distribution of benefits, security/privacy challenges, and added administrative burdens.
Scientists, researchers, and students will gain funded, coordinated access to DOE high-performance computing and competitive grants/centers to develop higher-resolution, AI-enabled weather and climate models.
Communities, state and local governments, and health systems could receive more accurate and higher-resolution forecasts and warnings, improving public safety and reducing storm-related losses.
Students and early-career professionals will benefit from funding for workforce development, training, recruitment, and retention pathways for next-generation weather, water, and climate computing jobs.
Taxpayers and federal budgets will face significant costs to establish centers, expand HPC infrastructure, and fund multi-year contracts and grants.
Competitive funding and center selection processes may favor large national labs and established institutions, concentrating resources and making it harder for smaller universities, nonprofits, and some regions to compete.
Centralizing advanced computing at a few centers creates infrastructure bottlenecks and potential single points of failure for nationwide modeling and forecasting needs.
Based on analysis of 5 sections of legislative text.
Directs DOE and NOAA to run competitive R&D using advanced computing to develop, compare, and improve advanced weather models, with centers, reports, and a five-year initiative.
Introduced February 12, 2026 by Ben Ray Luján · Last progress February 12, 2026
Directs the Department of Energy and the National Oceanic and Atmospheric Administration to partner on competitive, merit-reviewed research and development using advanced computing (AI, high-performance computing, cloud, quantum, machine learning, large-data analytics, etc.) to improve weather and Earth-system models. Creates a NOAA-run initiative for proof-of-concept model development and comparisons with operational forecasts, allows up to three DOE National Laboratory centers of excellence, requires joint reports to Congress, and ties program implementation to existing federal rules on foreign-talent recruitment; the initiative authority sunsets after five years.