TY  - JOUR
AU  - Fiore, Arlene M.
AU  - Fischer, Emily V.
AU  - Milly, George P.
AU  - Pandey Deolal, Shubha
AU  - Wild, Oliver
AU  - Jaffe, Daniel A.
AU  - Staehelin, Johannes
AU  - Clifton, Olivia E.
AU  - Bergmann, Dan
AU  - Collins, William
AU  - Dentener, Frank
AU  - Doherty, Ruth M.
AU  - Duncan, Bryan N.
AU  - Fischer, Bernd
AU  - Gilge, Stefan
AU  - Hess, Peter G.
AU  - Horowitz, Larry W.
AU  - Lupu, Alexandru
AU  - MacKenzie, Ian A.
AU  - Park, Rokjin
AU  - Ries, Ludwig
AU  - Sanderson, Michael G.
AU  - Schultz, Martin
AU  - Shindell, Drew T.
AU  - Steinbacher, Martin
AU  - Stevenson, David S.
AU  - Szopa, Sophie
AU  - Zellweger, Christoph
AU  - Zeng, Guang
TI  - Peroxy acetyl nitrate (PAN) measurements at northern midlatitude mountain sites in April: a constraint on continental source–receptor relationships
JO  - Atmospheric chemistry and physics
VL  - 18
IS  - 20
SN  - 1680-7324
CY  - Katlenburg-Lindau
PB  - EGU
M1  - FZJ-2018-07537
SP  - 15345 - 15361
PY  - 2018
AB  - 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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000448313100002
DO  - DOI:10.5194/acp-18-15345-2018
UR  - https://juser.fz-juelich.de/record/858692
ER  -