Section Aircraft Noise and Climate Effects, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, the Netherlands
Department of Engineering, University of Cambridge, 1 JJ Thomson Ave, Cambridge, CB3 0DY, United Kingdom
Laboratory for Aviation and the Environment, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, United States
Daven K. Henze
Department of Mechanical Engineering, University of Colorado Boulder, 1111 Engineering Drive, Boulder, CO 80309, United States
Laboratory for Aviation and the Environment, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, United States
Department of Aeronautics, Imperial College London, South Kensington Campus, London, SW7 2AZ, United Kingdom
Laboratory for Aviation and the Environment, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, United States
Steven R. H. Barrett
Laboratory for Aviation and the Environment, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, United States
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1,522
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EndNote: 139
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495
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EndNote: 49
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Total article views: 2,315 (including HTML, PDF, and XML)
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Total article views: 1,522 (including HTML, PDF, and XML)
Thereof 1,522 with geography defined
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Total article views: 793 (including HTML, PDF, and XML)
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Atmospheric model gradients provide a meaningful tool for better understanding the underlying atmospheric processes. Adjoint modeling enables computationally efficient gradient calculations. We present the adjoint of the GEOS-Chem unified chemistry extension (UCX). With this development, the GEOS-Chem adjoint model can capture stratospheric ozone and other processes jointly with tropospheric processes. We apply it to characterize the Antarctic ozone depletion potential of active halogen species.
Atmospheric model gradients provide a meaningful tool for better understanding the underlying...