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W. Gong et al.
determine if the representation of aerosol-cloud interaction will lead to an improvement in model predictions (e.g., in terms of forecast scores).
Answer to (2): Indeed, the investigation of interaction between urban aerosols and
urban heat island effect is a main focus of the study. This initial analysis has been
focused on the impact of aerosol-cloud interactions in this urbanized environment.
We hope that the suite of simulations to be carried out over the full month of July
period (see above), with and without the aerosol effects, in combination with the
urban module (TEB), will shed some light on this aspect.
Questioner: Pieter De Meutter
Question: Did you look at the modelled outflow speed of convective system, since
the downdraught depends on the microphysics? Observed wind speed/gust might be
used to validate any finding on that.
Answer: We have not yet looked at the modeled outflow speed from convective cells.
It is a good suggestion. We may be able to explore this by making use of weather
radar products (e.g., radial velocities).
References
1. W. Gong et al., Modelling aerosol cloud meteorology interaction: a case study with a fully
coupled air quality model GEM-MACH. Atmos. Environ. 115, 695–715 (2015). https://doi.org/
10.1016/j.atmosenv.2015.05.062
2. J.-Y. Han, J.-J. Baik, A.P. Khain, A numerical study of urban aerosol impacts on clouds and
precipitation. J. Atmos. Sci. 69, 504–520 (2012)
3. S. Leroyer, S. Blair, J. Mailhot, I.B. Strachan, Micro-scale numerical prediction over Montreal
with the Canadian external urban modeling system. J. Appl. Meteor. Climate. 50, 2410–2428
(2011)
4. P.A. Makar, et al., A process analysis of the impact of air-quality/weather feedbacks using
GEMMACH. In: D. Steyn, R. Mathur (Eds.), Air Pollution Modeling and Its Application XXIII.
Springer, pp. 229–235 (2014)
5. V. Masson, A physical based scheme for urban energy budget in atmospheric models. Bound.Layer Meteor. 94, 357–397 (2000)
6. J.A. Milbrandt, M.K. Yau, A multimoment bulk microphysics parameterization. Part I: analysis
of the role of the spectral shape parameter. J. Atmos. Sci. 62, 3051e3064 (2005a)
7. J.A. Milbrandt, M.K. Yau, A multimoment bulk microphysics parameterization. Part II: a proposed three-moment closure and scheme description. J. Atmos. Sci. 62(9), 3065e3081 (2005b)
8. M.D. Moran, et al., Particulate-matter forecasting with GEM-MACH15, a new Canadian airquality forecast model. In: Steyn DG, Rao ST (eds) Air Pollution Modelling and Its Application
XX, Springer, Dordrecht, pp. 289–292 (2010)
9. S. Ren et al., Impact of urban land use and anthropogenic heat on air quality in urban environments. In: Proceedings 36th ITM on Air Pollution Modelling and Its Application, this volume
(2018)
W. Gong et al.
determine if the representation of aerosol-cloud interaction will lead to an improvement in model predictions (e.g., in terms of forecast scores).
Answer to (2): Indeed, the investigation of interaction between urban aerosols and
urban heat island effect is a main focus of the study. This initial analysis has been
focused on the impact of aerosol-cloud interactions in this urbanized environment.
We hope that the suite of simulations to be carried out over the full month of July
period (see above), with and without the aerosol effects, in combination with the
urban module (TEB), will shed some light on this aspect.
Questioner: Pieter De Meutter
Question: Did you look at the modelled outflow speed of convective system, since
the downdraught depends on the microphysics? Observed wind speed/gust might be
used to validate any finding on that.
Answer: We have not yet looked at the modeled outflow speed from convective cells.
It is a good suggestion. We may be able to explore this by making use of weather
radar products (e.g., radial velocities).
References
1. W. Gong et al., Modelling aerosol cloud meteorology interaction: a case study with a fully
coupled air quality model GEM-MACH. Atmos. Environ. 115, 695–715 (2015). https://doi.org/
10.1016/j.atmosenv.2015.05.062
2. J.-Y. Han, J.-J. Baik, A.P. Khain, A numerical study of urban aerosol impacts on clouds and
precipitation. J. Atmos. Sci. 69, 504–520 (2012)
3. S. Leroyer, S. Blair, J. Mailhot, I.B. Strachan, Micro-scale numerical prediction over Montreal
with the Canadian external urban modeling system. J. Appl. Meteor. Climate. 50, 2410–2428
(2011)
4. P.A. Makar, et al., A process analysis of the impact of air-quality/weather feedbacks using
GEMMACH. In: D. Steyn, R. Mathur (Eds.), Air Pollution Modeling and Its Application XXIII.
Springer, pp. 229–235 (2014)
5. V. Masson, A physical based scheme for urban energy budget in atmospheric models. Bound.Layer Meteor. 94, 357–397 (2000)
6. J.A. Milbrandt, M.K. Yau, A multimoment bulk microphysics parameterization. Part I: analysis
of the role of the spectral shape parameter. J. Atmos. Sci. 62, 3051e3064 (2005a)
7. J.A. Milbrandt, M.K. Yau, A multimoment bulk microphysics parameterization. Part II: a proposed three-moment closure and scheme description. J. Atmos. Sci. 62(9), 3065e3081 (2005b)
8. M.D. Moran, et al., Particulate-matter forecasting with GEM-MACH15, a new Canadian airquality forecast model. In: Steyn DG, Rao ST (eds) Air Pollution Modelling and Its Application
XX, Springer, Dordrecht, pp. 289–292 (2010)
9. S. Ren et al., Impact of urban land use and anthropogenic heat on air quality in urban environments. In: Proceedings 36th ITM on Air Pollution Modelling and Its Application, this volume
(2018)