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@ARTICLE{Clemens:1021478,
      author       = {Clemens, Jan and Vogel, Bärbel and Hoffmann, Lars and
                      Griessbach, Sabine and Thomas, Nicole and Fadnavis, Suvarna
                      and Müller, Rolf and Peter, Thomas and Ploeger, Felix},
      title        = {{A} multi-scenario {L}agrangian trajectory analysis to
                      identify source regions of the {A}sian tropopause aerosol
                      layer on the {I}ndian subcontinent in {A}ugust 2016},
      journal      = {Atmospheric chemistry and physics},
      volume       = {24},
      number       = {1},
      issn         = {1680-7316},
      address      = {Katlenburg-Lindau},
      publisher    = {EGU},
      reportid     = {FZJ-2024-00771},
      pages        = {763 - 787},
      year         = {2024},
      abstract     = {The Asian tropopause aerosol layer (ATAL) is present during
                      the Asian summer monsoon season affecting the radiative
                      balance of the atmosphere. However, the source regions and
                      transport pathways of ATAL particles are still uncertain.
                      Here, we investigate transport pathways from different
                      regions at the model boundary layer (MBL) to the ATAL by
                      combining two Lagrangian transport models (CLaMS, Chemical
                      Lagrangian Model of the Stratosphere; MPTRAC,
                      Massive-Parallel Trajectory Calculations) with balloon-borne
                      measurements of the ATAL performed by the Compact Optical
                      Backscatter Aerosol Detector (COBALD) above Nainital (India)
                      in August 2016. Trajectories are initialised at the measured
                      location of the ATAL and calculated 90 d backwards in time
                      to investigate the relation between the measured, daily
                      averaged, aerosol backscatter ratio and source regions at
                      the MBL. Different simulation scenarios are performed to
                      find differences and robust patterns when the reanalysis
                      data (ERA5 or ERA-Interim), the trajectory model, the
                      vertical coordinate (kinematic and diabatic approach) or the
                      convective parameterisation are varied. The robust finding
                      among all scenarios is that the largest continental air mass
                      contributions originate from the Tibetan Plateau and the
                      Indian subcontinent (mostly the Indo-Gangetic Plain), and
                      the largest maritime air mass contributions in Asia come
                      from the western Pacific (e.g. related to tropical
                      cyclones). Additionally, all simulation scenarios indicate
                      that the transport of maritime air from the tropical western
                      Pacific to the region of the ATAL lowers the backscatter
                      ratio (BSR) of the ATAL, while most scenarios indicate that
                      the transport of polluted air from the Indo-Gangetic Plain
                      increases the BSR. While the results corroborate key
                      findings from previous ERA-Interim-based studies, they also
                      highlight the variability in the contributions of different
                      MBL regions to the ATAL depending on different simulation
                      scenarios.},
      cin          = {IEK-7 / JSC / CASA},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IEK-7-20101013 / I:(DE-Juel1)JSC-20090406 /
                      I:(DE-Juel1)CASA-20230315},
      pnm          = {2112 - Climate Feedbacks (POF4-211) / 5111 -
                      Domain-Specific Simulation $\&$ Data Life Cycle Labs (SDLs)
                      and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-2112 / G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001166579000001},
      doi          = {10.5194/acp-24-763-2024},
      url          = {https://juser.fz-juelich.de/record/1021478},
}