Towards a Flexible Data Fusion Tool for Air Quality Estimation and Forecasting with a Global Scope in Google Earth Engine
Towards a Flexible Data Fusion Tool for Air Quality Estimation and Forecasting with a Global Scope in Google Earth Engine
Carl Malings1, K. Emma Knowland2, Christoph Keller3, Stephen E Cohn4, Nathan R Pavlovic5, Sean Khan6, John E White7, Daniel Westervelt8, Sean Wihera9, Randall Martin10, Alan Chan5 and Callum Wayman11, (1)Morgan State University, GESTAR II, Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, United States, (2)Morgan State University, GESTAR-II, Baltimore, MD, United States, (3)Morgan State University, Baltimore, United States, (4)Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, United States, (5)Sonoma Technology, Inc., Petaluma, United States, (6)United Nations Environment Programme, Nairobi, Kenya, (7)US Environmental Protection Agency Research Triangle Park, Durham, United States, (8)Columbia University, Lamont-Doherty Earth Observatory, Palisades, United States, (9)Clarity Movement Co., Berkeley, United States, (10)Washington University in St. Louis, Energy, Environmental, & Chemical Engineering, St. Louis, United States, (11)Science Systems and Applications, Inc., Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Lanham, United States