388
J. Jiang et al.
to OA from ships, industry and power plants, which is mostly estimated by default
parameters in current CTMs.
QUESTIONER: Maria Kanakidou.
QUESTION: You have shown significant contribution of cooking organic aerosol
(COA) to OA level found by the observations. Do you simulate the COA in one of
the OA categories in your model?
ANSWER: No, the cooking organic aerosol is not simulated in this study. Although
the COA is important, the cooking emission is not included in current emission
inventory due to lack of data and very high uncertainty. The situation might be
improved in future when well validated cooking emission data is available as model
input.
Acknowledgements We thank Ramboll for help in CAMx modelling, ECMWF, UCAR, NASA
for providing data for model input. We thank Canonaco F., O’Dowd C., Ovadnevaite J., Favez O.,
Gilardoni S., Marchand N., Minguillón MC., and Florou K. for providing ACSM/AMS data.
References
1. A. Hodzic, P.S. Kasibhatla, D.S. Jo et al., Rethinking the global secondary organic aerosol
(SOA) budget: stronger production, faster removal, shorter lifetime. Atmos. Chem. Phys. 16,
7917–7941 (2016)
2. A. Hodzic, J.L. Jimenez, S. Madronich et al., Modeling organic aerosols in a megacity: potential contribution of semi-volatile and intermediate volatility primary organic compounds to
secondary organic aerosol formation. Atmos. Chem. Phys. 10, 5491–5514 (2010)
3. B. Koo, E. Knipping, G. Yarwood, 1.5-Dimensional volatility basis set approach for modeling
organic aerosol in CAMx and CMAQ. Atmos. Environ. 95, 158–164 (2014)
4. N.M. Donahue, A.L. Robinson, C.O. Stanier et al., Coupled partitioning, dilution, and chemical
aging of semivolatile organics. Environ. Sci. Technol. 40, 2635–2643 (2006)
5. E.A. Bruns, I. El Haddad, J.G. Slowik et al., Identification of significant precursor gases of
secondary organic aerosols from residential wood combustion. Sci. Rep. 6, 27881 (2016)
6. S.M. Platt, I. El Haddad, S.M. Pieber et al., Gasoline cars produce more carbonaceous particulate matter than modern filter-equipped diesel cars. Sci. Rep. 7, 4926 (2017)
7. Ramboll Environ, User’s Guide: The Comprehensive Air Quality Model with extensions
(CAMx) Version 6.3, California, USA (2016)
8. S. Andreani-Aksoyoglu, J. Keller, Estimates of monoterpene and isoprene emissions from the
forests in Switzerland. J. Atmos. Chem. 20, 71–87 (1995)
9. S.H. Jathar, T.D. Gordon, C.J. Hennigan et al., Unspeciated organic emissions from combustion
sources and their influence on the secondary organic aerosol budget in the United States. Proc.
Natl. Acad. Sci. 111, 10473–10478 (2014)
10. G. Ciarelli, S. Aksoyoglu, I. El Haddad et al., Modelling winter organic aerosol at the European
scale with CAMx: evaluation and source apportionment with a VBS parameterization based on
novel wood burning smog chamber experiments. Atmos. Chem. Phys. 17, 7653–7669 (2017)
11. A.L. Robinson, N.M. Donahue, M.K. Shrivastava et al., Rethinking organic aerosols:
semivolatile emissions and photochemical aging. Science 315, 1259–1262 (2007)
12. S.H. Jathar, M. Woody, H.O.T. Pye et al., Chemical transport model simulations of organic
aerosol in Southern California: model evaluation and gasoline and diesel source contributions.
Atmos. Chem. Phys. 17, 4305–4318 (2017)
J. Jiang et al.
to OA from ships, industry and power plants, which is mostly estimated by default
parameters in current CTMs.
QUESTIONER: Maria Kanakidou.
QUESTION: You have shown significant contribution of cooking organic aerosol
(COA) to OA level found by the observations. Do you simulate the COA in one of
the OA categories in your model?
ANSWER: No, the cooking organic aerosol is not simulated in this study. Although
the COA is important, the cooking emission is not included in current emission
inventory due to lack of data and very high uncertainty. The situation might be
improved in future when well validated cooking emission data is available as model
input.
Acknowledgements We thank Ramboll for help in CAMx modelling, ECMWF, UCAR, NASA
for providing data for model input. We thank Canonaco F., O’Dowd C., Ovadnevaite J., Favez O.,
Gilardoni S., Marchand N., Minguillón MC., and Florou K. for providing ACSM/AMS data.
References
1. A. Hodzic, P.S. Kasibhatla, D.S. Jo et al., Rethinking the global secondary organic aerosol
(SOA) budget: stronger production, faster removal, shorter lifetime. Atmos. Chem. Phys. 16,
7917–7941 (2016)
2. A. Hodzic, J.L. Jimenez, S. Madronich et al., Modeling organic aerosols in a megacity: potential contribution of semi-volatile and intermediate volatility primary organic compounds to
secondary organic aerosol formation. Atmos. Chem. Phys. 10, 5491–5514 (2010)
3. B. Koo, E. Knipping, G. Yarwood, 1.5-Dimensional volatility basis set approach for modeling
organic aerosol in CAMx and CMAQ. Atmos. Environ. 95, 158–164 (2014)
4. N.M. Donahue, A.L. Robinson, C.O. Stanier et al., Coupled partitioning, dilution, and chemical
aging of semivolatile organics. Environ. Sci. Technol. 40, 2635–2643 (2006)
5. E.A. Bruns, I. El Haddad, J.G. Slowik et al., Identification of significant precursor gases of
secondary organic aerosols from residential wood combustion. Sci. Rep. 6, 27881 (2016)
6. S.M. Platt, I. El Haddad, S.M. Pieber et al., Gasoline cars produce more carbonaceous particulate matter than modern filter-equipped diesel cars. Sci. Rep. 7, 4926 (2017)
7. Ramboll Environ, User’s Guide: The Comprehensive Air Quality Model with extensions
(CAMx) Version 6.3, California, USA (2016)
8. S. Andreani-Aksoyoglu, J. Keller, Estimates of monoterpene and isoprene emissions from the
forests in Switzerland. J. Atmos. Chem. 20, 71–87 (1995)
9. S.H. Jathar, T.D. Gordon, C.J. Hennigan et al., Unspeciated organic emissions from combustion
sources and their influence on the secondary organic aerosol budget in the United States. Proc.
Natl. Acad. Sci. 111, 10473–10478 (2014)
10. G. Ciarelli, S. Aksoyoglu, I. El Haddad et al., Modelling winter organic aerosol at the European
scale with CAMx: evaluation and source apportionment with a VBS parameterization based on
novel wood burning smog chamber experiments. Atmos. Chem. Phys. 17, 7653–7669 (2017)
11. A.L. Robinson, N.M. Donahue, M.K. Shrivastava et al., Rethinking organic aerosols:
semivolatile emissions and photochemical aging. Science 315, 1259–1262 (2007)
12. S.H. Jathar, M. Woody, H.O.T. Pye et al., Chemical transport model simulations of organic
aerosol in Southern California: model evaluation and gasoline and diesel source contributions.
Atmos. Chem. Phys. 17, 4305–4318 (2017)