Background
Global-scale modeling of air quality and trace gases provides key information in data-sparse regions of importance to the United States (U.S.) Department of State (DoS), U.S. Environmental Protection Agency (EPA), USDA, DOE, and NOAA. DoS requests air quality forecasts for health and safety decisions for U.S. Embassies in countries with poorest air quality. EPA and USDA seek air quality (i.e., nitrogen dioxide (NO2)) measurements in agriculture and rural regions: current in situ networks are in urban centers. NASA’s Global Modeling and Assimilation Office (GMAO) will integrate data from distributed Pandora sensors into the Goddard Earth Observing System-Composition Forecast (GEOS-CF) model with downscaling approaches used for more precise air quality forecasts at EPA, USDA and DoS sites of interest. There is a multi-agency need to improve the U.S. Government's ability to detect and forecast crucial air quality parameters in poorly sampled locations both domestic and international.