Chapter 49
Multi Model Study on the Impact
of Emissions on CTMs
Johannes Bieser, Martin Otto Paul Ramacher, Marje Prank, Efisio Solazzo
and Andreas Uppstu
Abstract Emission data are a key driver and a major source of uncertainty
to atmospheric chemistry transport models. As part of the international modelintercomparison study AQMEII chemistry transport models (CTMs) with harmonized input data have been used to evaluate the impact of emission datasets on
different species and compare it to the effect of meteorology and parametrization of
the CTM.
49.1 Introduction
Emission data are often cited as a key source for model uncertainty in CTM studies. Albeit an intuitively convincing argument, the exact impact of emission data on
modeled concentration and deposition fields has not been quantified in the scientific
literature. Moreover, to assess the impact of the emission dataset one needs to investigate the relative impact of emissions compared to other drivers of CTMs, namely
the meteorological data and the practical implementation of physical and chemical
processes. The presented study is a first step towards a comprehensive understanding
of the impact of emission data on CTM results.
J. Bieser (B) · M. O. P. . Ramacher
Helmholtz-Zentrum Geesthacht, Institute of Coastal Research, Max-Planck-Strasse 1, 21502
Geesthacht, Germany
e-mail: johannes.bieser@hzg.de
M. Prank · A. Uppstu
Finnish Meteorological Institute, Helsinki, Finland
E. Solazzo
European Commission, Joint Research Centre, Ispra, Italy
© Springer Nature Switzerland AG 2020
C. Mensink et al. (eds.), Air Pollution Modeling and its Application XXVI,
Springer Proceedings in Complexity,
https://doi.org/10.1007/978-3-030-22055-6_49
309
Multi Model Study on the Impact
of Emissions on CTMs
Johannes Bieser, Martin Otto Paul Ramacher, Marje Prank, Efisio Solazzo
and Andreas Uppstu
Abstract Emission data are a key driver and a major source of uncertainty
to atmospheric chemistry transport models. As part of the international modelintercomparison study AQMEII chemistry transport models (CTMs) with harmonized input data have been used to evaluate the impact of emission datasets on
different species and compare it to the effect of meteorology and parametrization of
the CTM.
49.1 Introduction
Emission data are often cited as a key source for model uncertainty in CTM studies. Albeit an intuitively convincing argument, the exact impact of emission data on
modeled concentration and deposition fields has not been quantified in the scientific
literature. Moreover, to assess the impact of the emission dataset one needs to investigate the relative impact of emissions compared to other drivers of CTMs, namely
the meteorological data and the practical implementation of physical and chemical
processes. The presented study is a first step towards a comprehensive understanding
of the impact of emission data on CTM results.
J. Bieser (B) · M. O. P. . Ramacher
Helmholtz-Zentrum Geesthacht, Institute of Coastal Research, Max-Planck-Strasse 1, 21502
Geesthacht, Germany
e-mail: johannes.bieser@hzg.de
M. Prank · A. Uppstu
Finnish Meteorological Institute, Helsinki, Finland
E. Solazzo
European Commission, Joint Research Centre, Ispra, Italy
© Springer Nature Switzerland AG 2020
C. Mensink et al. (eds.), Air Pollution Modeling and its Application XXVI,
Springer Proceedings in Complexity,
https://doi.org/10.1007/978-3-030-22055-6_49
309