Advanced Weather Model Computing Development Act
HB4141, titled the Advanced Weather Model Computing Development Act, directs the National Oceanic and Atmospheric Administration (NOAA) and the Department of Energy to collaborate on research and computing development to improve numerical weather and climate prediction. The bill amends the Weather Research and Forecasting Innovation Act of 2017 to emphasize the use of artificial intelligence, machine learning, advanced computing, and, where practicable, quantum computing to improve weather forecast accuracy, resolution, and warning systems.
The bill also authorizes NOAA to expand or establish centers of excellence focused on next-generation computing capabilities, public-private partnerships, software and algorithm development, and workforce development. It permits multi-year contracts for high-performance and cloud computing infrastructure and requires NOAA, in collaboration with DOE, to report to Congress within two years on the value of high-resolution probabilistic forecasts and the computing needs needed to support them. In addition, it requires NOAA to produce a publicly available 10-year strategic plan on high-performance computing and data management needs, updated every five years through 2035, and to provide annual congressional briefings through 2030 on progress toward those goals.
The bill would amend federal law governing NOAA weather research by revising Section 108 of the Weather Research and Forecasting Innovation Act of 2017 and adding new requirements for planning, reporting, and technology adoption. It would not directly regulate states or private parties, but it would shape federal weather and climate forecasting capabilities, NOAA procurement and partnerships, and the agency’s long-term computing and data infrastructure priorities. The affected statutory framework is the Weather Research and Forecasting Innovation Act, with implementation centered on NOAA and its coordination with the Department of Energy.
Based on the available context, the bill appears to have a generally positive, forward-looking policy orientation, with no recorded votes or committee debate to indicate opposition or amendments. Its emphasis on modernization, forecasting accuracy, and public-private collaboration suggests support for scientific and operational improvements in weather prediction. Because there are no transcripts or vote totals provided, the overall sentiment can only be characterized as favorable by the bill’s design and sponsorship, rather than by documented legislative debate.
No specific points of contention are documented in the provided materials. Potential areas that could draw scrutiny include the use of artificial intelligence, machine learning, and quantum computing in federal forecasting, the reliance on public-private partnerships, the authorization of multi-year contracts with contingent liabilities, and the resource demands of a long-term strategic plan and reporting requirements. However, no member objections, amendments, or recorded votes are available to identify which of these issues, if any, were disputed.