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      Satellite isoprene retrievals constrain emissions and atmospheric oxidation

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          SUMMARY:

          Isoprene is the dominant non-methane organic compound emitted to the atmosphere 13 . It drives ozone and aerosol production, modulates atmospheric oxidation, and interacts with the global nitrogen cycle 48 . Isoprene emissions are highly uncertain 1, 9 , as is the non-linear chemistry coupling isoprene and the hydroxyl radical, OH—its primary sink 1013 . Here we present the first global isoprene measurements from space, using the Cross-track Infrared Sounder (CrIS). These isoprene measurements, together with observations of its oxidation product formaldehyde, provide new constraints on isoprene emissions and atmospheric oxidation. We find 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-NO x. We analyze these datasets 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 NO x emissions bias modeled OH and hence isoprene. Over southern Africa, we find that a prominent isoprene hotspot is missing from bottom-up predictions. A multi-year analysis sheds light on interannual isoprene variability, and suggests the role of El Niño.

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          The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)

          The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) is the latest atmospheric reanalysis of the modern satellite era produced by NASA’s Global Modeling and Assimilation Office (GMAO). MERRA-2 assimilates observation types not available to its predecessor, MERRA, and includes updates to the Goddard Earth Observing System (GEOS) model and analysis scheme so as to provide a viable ongoing climate analysis beyond MERRA’s terminus. While addressing known limitations of MERRA, MERRA-2 is also intended to be a development milestone for a future integrated Earth system analysis (IESA) currently under development at GMAO. This paper provides an overview of the MERRA-2 system and various performance metrics. Among the advances in MERRA-2 relevant to IESA are the assimilation of aerosol observations, several improvements to the representation of the stratosphere including ozone, and improved representations of cryospheric processes. Other improvements in the quality of MERRA-2 compared with MERRA include the reduction of some spurious trends and jumps related to changes in the observing system, and reduced biases and imbalances in aspects of the water cycle. Remaining deficiencies are also identified. Production of MERRA-2 began in June 2014 in four processing streams, and converged to a single near-real time stream in mid 2015. MERRA-2 products are accessible online through the NASA Goddard Earth Sciences Data Information Services Center (GES DISC).
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            The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions

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              Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4)

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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                17 July 2020
                09 September 2020
                September 2020
                09 March 2021
                : 585
                : 7824
                : 225-233
                Affiliations
                [1 ]Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA.
                [2 ]Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.
                [3 ]School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
                [4 ]Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA.
                [5 ]Department of Chemistry, University of Colorado, Boulder, CO, USA.
                [6 ]Department of Atmospheric and Cryogenic Sciences, University of Innsbruck, Innsbruck, Austria.
                [7 ]NOAA Earth System Research Laboratory, Boulder, CO, USA.
                [8 ]Institute for Ion Physics and Applied Physics, University of Innsbruck, Innsbruck, Austria.
                [9 ]Department of Chemistry, University of Oslo, Oslo, Norway.
                [10 ]Department of Meteorology, The Pennsylvania State University, University Park, PA, USA.
                Author notes
                [†]

                Now at: Bioclimatology, University of Göttingen, Göttingen, Germany.

                AUTHOR CONTRIBUTIONS:

                D.B.M. planned the project and oversaw the scientific interpretation. K.C.W. performed the Δ T b calculations, ANN training, CrIS isoprene retrievals and evaluation, lifetime calculations, emission optimization, and synthesis of results for major source regions. V.H.P. performed radiative transfer model simulations and provided guidance with CrIS data analysis. M.J.D. assisted with ANN training and application. D.B.M. and K.C.W. conducted the GEOS-Chem model simulations. K.H.B. worked on the development of RCIM and Mini-CIM and incorporated them into GEOS-Chem. J.A.de G., M.G., C.W., and A.W. carried out the aircraft measurements used for evaluation. J.D.F. provided ground-based isoprene measurements from Amazonia. K.C.W. and D.B.M. wrote the manuscript. All authors reviewed and commented on the paper.

                [* ]Correspondence and requests for materials should be addressed to D.B. Millet. ( dbm@ 123456umn.edu )
                Article
                NASAPA1612085
                10.1038/s41586-020-2664-3
                7490801
                32908268
                208baf68-e48c-42dd-9669-3422f8b9c8f0

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