Chapter 60
A Parameterization of Heterogeneous
Hydrolysis of N 2 O 5 for 3-D Atmospheric
Modelling
R. Wolke, Y. Chen, W. Schröder, G. Spindler and A. Wiedensohler
Abstract During night-time, the heterogeneous hydrolysis of N 2 O 5 on the surface
of deliquescent aerosol particles represents a major source for the formation of HNO 3
and leads to an important reduction of NO x in the atmosphere. In Chen et al., Atmos.
Chem. Phys. 18:673–689, 2018 [5], we investigate an improved parameterization
of the heterogeneous N 2 O 5 hydrolysis. This approach is based on laboratory experiments and takes into account the temperature, relative humidity, aerosol particle composition as well as the surface area concentration. The parametrization was implemented in the online coupled model system COSMO-MUSCAT (Consortium for
Small-scale Modelling and Multi-Scale Chemistry Aerosol Transport, https://cosmomuscat.tropos.de). In Chen et al., Atmos. Chem. Phys. 18:673–689, 2018 [5], the
modified model was applied for the simulation of the HOPE-Melpitz campaign (10–
25 September 2013) where especially the nitrate prediction over western and central
Europe was analysed. The modelled particulate nitrate concentrations were compared
with filter measurements over Germany. In this first study, the particulate nitrate
results are significantly improved by using the developed N 2 O 5 parametrization,
particularly if the particulate nitrate was dominated by the local chemical formation
(September 12, 17–18 and 25). The aim of the current study consists in an evaluation over a longer time period for different meteorological conditions and emission
situations. For this reason, we have simulated the period from March to November
2010. The results were compared with other approaches and evaluated by filter measurements. The improvement was confirmed for the results in spring and autumn, but
nitrate is strongly over-predicted also for the new parametrization during the summer
time.
R. Wolke (B) · Y. Chen · W. Schröder · G. Spindler · A. Wiedensohler
Leibniz Institute for Tropospheric Research (TROPOS), Permoserstrasse 15,
04303 Leipzig, Germany
e-mail: wolke@tropos.de
Present Address:
Y. Chen
Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
© 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_60
377
A Parameterization of Heterogeneous
Hydrolysis of N 2 O 5 for 3-D Atmospheric
Modelling
R. Wolke, Y. Chen, W. Schröder, G. Spindler and A. Wiedensohler
Abstract During night-time, the heterogeneous hydrolysis of N 2 O 5 on the surface
of deliquescent aerosol particles represents a major source for the formation of HNO 3
and leads to an important reduction of NO x in the atmosphere. In Chen et al., Atmos.
Chem. Phys. 18:673–689, 2018 [5], we investigate an improved parameterization
of the heterogeneous N 2 O 5 hydrolysis. This approach is based on laboratory experiments and takes into account the temperature, relative humidity, aerosol particle composition as well as the surface area concentration. The parametrization was implemented in the online coupled model system COSMO-MUSCAT (Consortium for
Small-scale Modelling and Multi-Scale Chemistry Aerosol Transport, https://cosmomuscat.tropos.de). In Chen et al., Atmos. Chem. Phys. 18:673–689, 2018 [5], the
modified model was applied for the simulation of the HOPE-Melpitz campaign (10–
25 September 2013) where especially the nitrate prediction over western and central
Europe was analysed. The modelled particulate nitrate concentrations were compared
with filter measurements over Germany. In this first study, the particulate nitrate
results are significantly improved by using the developed N 2 O 5 parametrization,
particularly if the particulate nitrate was dominated by the local chemical formation
(September 12, 17–18 and 25). The aim of the current study consists in an evaluation over a longer time period for different meteorological conditions and emission
situations. For this reason, we have simulated the period from March to November
2010. The results were compared with other approaches and evaluated by filter measurements. The improvement was confirmed for the results in spring and autumn, but
nitrate is strongly over-predicted also for the new parametrization during the summer
time.
R. Wolke (B) · Y. Chen · W. Schröder · G. Spindler · A. Wiedensohler
Leibniz Institute for Tropospheric Research (TROPOS), Permoserstrasse 15,
04303 Leipzig, Germany
e-mail: wolke@tropos.de
Present Address:
Y. Chen
Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
© 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_60
377