Incorporates machine learning to improve atmospheric river forecasts. Develops AI-driven tools and models for predicting landfalls and precipitation impacts. Enhances data processing and modeling techniques, using AI for high-resolution forecasting systems. Improves hazard communication methodologies.
Analysis summaries, actor details, and coverage mappings were LLM-classified and may contain errors.
This is a Congressional Act with binding legal obligations on federal agencies, using mandatory language ('shall') throughout and establishing specific program requirements with oversight mechanisms.
This document has minimal risk domain coverage, primarily addressing AI system safety and robustness (7.3) through its focus on improving forecast reliability. There is implicit mention of governance structures (6.5) related to federal AI implementation. The document does not substantially address discrimination, privacy, misinformation, malicious actors, human-computer interaction, or most socioeconomic risks.
This Act primarily governs AI use in Public Administration (federal weather forecasting agencies) and Scientific Research and Development Services (atmospheric research). It also has implications for Professional and Technical Services through partnerships with consultants and research institutions.
The document covers multiple AI lifecycle stages with primary focus on Build and Use Model (developing AI/ML forecasting systems), Verify and Validate (establishing forecast skill metrics and testing), Deploy (operationalizing prototype systems), and Operate and Monitor (ongoing evaluation and improvement of forecasting capabilities). It addresses the complete lifecycle from planning through operational monitoring.
The document explicitly mentions AI and machine learning methods for improving atmospheric river forecasts. It focuses on predictive AI systems for weather forecasting rather than generative AI. No specific compute thresholds, foundation models, or open-weight models are mentioned. The scope is task-specific AI for atmospheric river prediction and forecasting.
United States Congress; Senate; House of Representatives
The document is enacted by the Senate and House of Representatives of the United States of America in Congress assembled, establishing Congress as the proposing authority for this legislation.
Committee on Commerce, Science, and Transportation of the Senate; Committee on Science, Space, and Technology of the House of Representatives; Under Secretary (NOAA)
Congressional committees provide oversight through mandatory plan submission and review. The Under Secretary has operational authority to implement and enforce program requirements within NOAA.
Committee on Commerce, Science, and Transportation of the Senate; Committee on Science, Space, and Technology of the House of Representatives; Under Secretary (NOAA); Office of Oceanic and Atmospheric Research
Congressional committees monitor implementation through plan review and oversight. NOAA's Office of Oceanic and Atmospheric Research maintains atmospheric river observatories and ensures ongoing monitoring of program effectiveness.
National Oceanic and Atmospheric Administration (NOAA); Under Secretary; Office of Oceanic and Atmospheric Research; weather enterprise in the United States; institutions of higher education
The Act primarily targets NOAA (through the Under Secretary) to establish and implement the atmospheric river forecast improvement program. It also involves the weather enterprise and institutions of higher education as collaborative partners in developing AI-driven forecasting tools.
2 subdomains (2 Minimal)