; and (3) forecast wildfire propagation and combustion risks based on an analysis of the availability of combustible materials in the built and natural environments. (b) Training dataset In carrying out this section, the Administrator shall gather observational data and synthetic data on the built and natural environments collected across the Federal Government to develop and curate a related training dataset for purposes of training the artificial intelligence technology used in furtherance of this section. (c) Data acquisition In carrying out this section, the Administrator may contract to acquire relevant data. (d) Weather integration In carrying out this section, the Administrator shall integrate outputs from weather and other environmental models and data. (e) Environmental impact The Administrator shall develop and disseminate best practices to minimize environmental impacts from the use of artificial intelligence technology to carry out this section. (f) Public access Subject to section 109, the Administrator shall make available to the public, at no-cost and with no restrictions on copying, publishing, distributing, citing, adapting, or otherwise using under an open license, the code for the artificial intelligence used under subsection (a) and the training dataset developed under subsection (b). 106. Emissions monitoring and analysis program (a) In general Not later than one year after the date of the enactment of this Act, the Administrator, in consultation with the Administrator of the Environmental Protection Agency, the Administrator of the National Aeronautics and Space Administration, the Secretary of Energy, the Director of the National Science Foundation, the Director of the National Center for Atmospheric Research, the Environmental Information Services Working Group, and such other technical experts as the Administrator considers appropriate, shall develop a program to use artificial intelligence to analyze global atmospheric observations in order to— (1) improve atmospheric dispersion models