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@ARTICLE{Fiore:858692,
      author       = {Fiore, Arlene M. and Fischer, Emily V. and Milly, George P.
                      and Pandey Deolal, Shubha and Wild, Oliver and Jaffe, Daniel
                      A. and Staehelin, Johannes and Clifton, Olivia E. and
                      Bergmann, Dan and Collins, William and Dentener, Frank and
                      Doherty, Ruth M. and Duncan, Bryan N. and Fischer, Bernd and
                      Gilge, Stefan and Hess, Peter G. and Horowitz, Larry W. and
                      Lupu, Alexandru and MacKenzie, Ian A. and Park, Rokjin and
                      Ries, Ludwig and Sanderson, Michael G. and Schultz, Martin
                      and Shindell, Drew T. and Steinbacher, Martin and Stevenson,
                      David S. and Szopa, Sophie and Zellweger, Christoph and
                      Zeng, Guang},
      title        = {{P}eroxy acetyl nitrate ({PAN}) measurements at northern
                      midlatitude mountain sites in {A}pril: a constraint on
                      continental source–receptor relationships},
      journal      = {Atmospheric chemistry and physics},
      volume       = {18},
      number       = {20},
      issn         = {1680-7324},
      address      = {Katlenburg-Lindau},
      publisher    = {EGU},
      reportid     = {FZJ-2018-07537},
      pages        = {15345 - 15361},
      year         = {2018},
      abstract     = {Abundance-based model evaluations with observations provide
                      critical tests for the simulated mean state in models of
                      intercontinental pollution transport, and under certain
                      conditions may also offer constraints on model responses to
                      emission changes. We compile multiyear measurements of
                      peroxy acetyl nitrate (PAN) available from five mountaintop
                      sites and apply them in a proof-of-concept approach that
                      exploits an ensemble of global chemical transport models
                      (HTAP1) to identify an observational emergent constraint. In
                      April, when the signal from anthropogenic emissions on PAN
                      is strongest, simulated PAN at northern midlatitude
                      mountaintops correlates strongly with PAN source–receptor
                      relationships (the response to $20\%$ reductions in
                      precursor emissions within northern midlatitude continents;
                      hereafter, SRRs). This finding implies that PAN measurements
                      can provide constraints on PAN SRRs by limiting the SRR
                      range to that spanned by the subset of models simulating PAN
                      within the observed range. In some cases, regional
                      anthropogenic volatile organic compound (AVOC) emissions,
                      tracers of transport from different source regions, and SRRs
                      for ozone also correlate with PAN SRRs. Given the large
                      observed interannual variability in the limited available
                      datasets, establishing strong constraints will require
                      matching meteorology in the models to the PAN measurements.
                      Application of this evaluation approach to the
                      chemistry–climate models used to project changes in
                      atmospheric composition will require routine, long-term
                      mountaintop PAN measurements to discern both the
                      climatological SRR signal and its interannual variability.},
      cin          = {JSC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {512 - Data-Intensive Science and Federated Computing
                      (POF3-512) / Earth System Data Exploration (ESDE)},
      pid          = {G:(DE-HGF)POF3-512 / G:(DE-Juel-1)ESDE},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000448313100002},
      doi          = {10.5194/acp-18-15345-2018},
      url          = {https://juser.fz-juelich.de/record/858692},
}