This proposal focuses on the application of NASA Earth Science observations to support essential EPA, WRAP, and CenSARA operational decision support tools concerned primarily with national Air Quality that includes connections to Climate and Agriculture. The decision support tools, the National Emissions Inventory (NEI) and Community Multiscale Air Quality (CMAQ) model, are used for numerous critical environmental management and policy activities including regulation setting and regional strategy development for attainment of National Ambient Air Quality Standards. This work is aligned with NASA strategic objectives of using NASA spacecraft- and aircraft-observations, in concurrence with coincident field missions to advance scientific and technological understanding, and applying this knowledge for societal benefit.Our goals are to use satellite, aircraft and in-situ observations to enhance inputs to CMAQ with the ultimate goal of improving human he alth and the environment. Specifically, we propose to: (1) Use satellite-based fire data to enhance fire emissions within the NEI, with a particular focus on poorly represented agricultural and rangeland fires. We intent to use satellite and in-situ data to enhance an existing algorithm, produce and validate the product, and benchmark fire emission improvements to the NEI, which is an input to SMOKE, an emissions processor for CMAQ and other chemical transport models.; (2) Synthesize agricultural and rangeland fire research into a format usable by the Wildland Fire Emissions Information System, an existing NASA Carbon Cycle Applications project; (3) Analyze CALIPSO data to build an injection height database that links fire behavior and fire weather to plume rise, validate the product using satellite-, aircraft- and in-situ data, and verify and enhance injection height within SMOKE. We consider soliciting requirements from modelers essential to plume rise application within regional- and global- air quality a nd climate modeling communities; (4) Benchmark and validate CMAQ model simulations using surface network and satellite data.