A018-02
Global satellite isoprene retrievals constrain emissions and atmospheric oxidation

Monday, 7 December 2020: 10:41
Virtual
Kelley C Wells1, Dylan B Millet1, Vivienne Payne2, Malte Julian Deventer3,4, Kelvin Hamilton Bates5, Joost de Gouw6, Martin Graus7, Carsten Warneke8,9, Armin Wisthaler7,10 and Jose D Fuentes11, (1)University of Minnesota Twin Cities, St Paul, MN, United States, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)University of Minnesota Twin Cities, Minneapolis, MN, United States, (4)University of Goettingen, Bioclimatology, Göttingen, Germany, (5)Harvard University, Cambridge, MA, United States, (6)University of Colorado at Boulder, Department of Chemistry, Boulder, United States, (7)University of Innsbruck, Innsbruck, Austria, (8)Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, (9)NOAA Earth System Research Laboratory, Chemical Sciences Division, Boulder, CO, United States, (10)University of Oslo, Oslo, Norway, (11)Penn State University, Department of Meteorology and Atmospheric Science, University Park, PA, United States
Recorded Presentation
Abstract:
Isoprene is the dominant non-methane organic compound emitted to the atmosphere. It drives ozone and aerosol production, modulates atmospheric oxidation, and interacts with the global nitrogen cycle. We recently presented the first global isoprene measurements from space, using the Cross-track Infrared Sounder (CrIS), and showed that isoprene:formaldehyde relationships measured from space are broadly consistent with current understanding of isoprene-OH chemistry, with no indication of missing OH recycling at low-NOx. In this presentation we analyze this new dataset over four global isoprene hotspots in relation to model predictions, and present a first demonstration of isoprene emission quantification based directly on satellite measurements of isoprene itself. A major discrepancy emerges over Amazonia, where current underestimates of natural NOx emissions bias modeled OH and hence isoprene. Over southern Africa, we find that a prominent isoprene hotspot is missing from bottom-up predictions. Finally, we present progress towards a next-generation isoprene retrieval for improved sensitivity and quantification of interannual isoprene emissions.
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