A102
Novel Techniques to Infer Emissions and Concentrations of Air Pollutants and GHGs from Satellite Data for Policy Applications
Novel Techniques to Infer Emissions and Concentrations of Air Pollutants and GHGs from Satellite Data for Policy Applications
Session ID#: 78222
Session Description:
Techniques have been developed over the years to infer emissions and surface concentrations of air pollutants (e.g., nitrogen dioxide, sulfur dioxide, fine particulate matter, ammonia) and greenhouse gases (e.g., methane, carbon dioxide) from satellite data. Recent advances in these techniques, as well as satellite data with finer spatio-temporal resolution, are improving our ability to constrain these emissions and concentrations. This session will present the latest research in constraining emissions and surface concentrations from space, including substantive refinements to existing techniques and the development of new and novel techniques for policy applications. Novel techniques may include, but are not limited to, synergistic uses of two or more satellite datasets to constrain emissions or pollutant concentrations.
Index Terms:
0322 Constituent sources and sinks [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0345 Pollution: urban and regional [ATMOSPHERIC COMPOSITION AND STRUCTURE]
Primary Convener: Bryan N Duncan, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Conveners: Daniel L Goldberg, Argonne National Laboratory, Argonne, IL, United States and William H Swartz, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States
Primary Liaison: Bryan N Duncan, NASA GSFC, Greenbelt, MD, United States
See more of: Atmospheric Sciences
