Modelling cloud processing of aerosol during the ACE-2 HILLCLOUD experiment

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Modelling cloud processing of aerosol during the ACE-2 HILLCLOUD experiment. / Flynn, Michael J.; Bower, Keith N.; Choularton, Thomas W.; Wobrock, Wolfram; Mäkelä, Jyrki M.; Martinsson, Bengt; Frank, Göran; Hansson, Hans Christen; Karlsson, Hans; Laj, Paolo.

I: Tellus. Series B: Chemical and Physical Meteorology, Vol. 52, Nr. 2, 01.01.2000, s. 779-800.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Harvard

Flynn, MJ, Bower, KN, Choularton, TW, Wobrock, W, Mäkelä, JM, Martinsson, B, Frank, G, Hansson, HC, Karlsson, H & Laj, P 2000, 'Modelling cloud processing of aerosol during the ACE-2 HILLCLOUD experiment', Tellus. Series B: Chemical and Physical Meteorology, vol. 52, nr. 2, s. 779-800. https://doi.org/10.1034/j.1600-0889.2000.00029.x

APA

Flynn, M. J., Bower, K. N., Choularton, T. W., Wobrock, W., Mäkelä, J. M., Martinsson, B., Frank, G., Hansson, H. C., Karlsson, H., & Laj, P. (2000). Modelling cloud processing of aerosol during the ACE-2 HILLCLOUD experiment. Tellus. Series B: Chemical and Physical Meteorology, 52(2), 779-800. https://doi.org/10.1034/j.1600-0889.2000.00029.x

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Author

Flynn, Michael J. ; Bower, Keith N. ; Choularton, Thomas W. ; Wobrock, Wolfram ; Mäkelä, Jyrki M. ; Martinsson, Bengt ; Frank, Göran ; Hansson, Hans Christen ; Karlsson, Hans ; Laj, Paolo. / Modelling cloud processing of aerosol during the ACE-2 HILLCLOUD experiment. I: Tellus. Series B: Chemical and Physical Meteorology. 2000 ; Vol. 52, Nr. 2. s. 779-800.

RIS

TY - JOUR

T1 - Modelling cloud processing of aerosol during the ACE-2 HILLCLOUD experiment

AU - Flynn, Michael J.

AU - Bower, Keith N.

AU - Choularton, Thomas W.

AU - Wobrock, Wolfram

AU - Mäkelä, Jyrki M.

AU - Martinsson, Bengt

AU - Frank, Göran

AU - Hansson, Hans Christen

AU - Karlsson, Hans

AU - Laj, Paolo

PY - 2000/1/1

Y1 - 2000/1/1

N2 - A numerical model has been used to simulate the conditions observed during the ACE-2 Hillcloud experiment and to study the processes which may be taking place. The model incorporates gas phase chemistry of sulphur and nitrogen compounds upstream of the cloud, and the interaction of aerosol, precursor trace gases and oxidants within the cloud. Gas phase and aerosol inputs to the model have been provided from measurements made in the field. Dynamics of the air flow over the hill consisted of simple prescribed dynamics based on wind speed measurements, and also for some cases modelled dynamics. In this modelling study, it was found that during clean case studies particles down to 40-55 nm diameter were activated to form cloud droplets, the total number of droplets formed ranging from 200 to 400 drops/cm3. Significant modification of the aerosol spectra due to cloud processing was observed. In polluted cases particles down to 65-80 nm diameter were activated to form cloud droplets, the total number of droplets ranging from 800 to 2800 drops/cm3. Modification of the aerosol spectra due to cloud processing was slight. In all cases, changes in the aerosol spectra were due to both the uptake of HNO3, HCl, NH3 and SO2 from the gas phase, (the SO2 being oxidised to sulphate) and the repartitioning of species such as HNO3, HCl, and NH3 from larger particles onto smaller ones. Modelling results have been compared with observations made. Modelled droplet numbers are typically within 20% of the best measured values. The mode of the droplet distribution typically around 10-20 μm for clean cases and 4-8 μm for polluted cases was found to be in good agreement with the measured values of 10-25 μm for clean cases, but not in such good agreement for polluted cases. Measurements of upwind and interstitial aerosol distributions showed that the smallest particles activated were 30 and 50 nm for clean and polluted cases respectively, slightly smaller than the model values quoted above. Measured upwind and downwind aerosol spectra showed similar modification to that predicted by the model in eight out of the eleven model runs carried out. Chemistry measurements also give general evidence for both the uptake of species from the gas phase, and repartitioning of species from large particles onto smaller ones, though comparisons for individual cases are more difficult. From this modelling study, it can be concluded that in general, in the remote environment the exchange of hydrochloric acid, nitric acid and ammonia between aerosol particles and take up from the gas phase in the vicinity of cloud may be a very important mechanism in regulating the evolution of the aerosol spectrum. Further, the much more linear relationship between cloud droplet and accumulation mode aerosol number, which was observed in the measurements made during the ACE-2 HILLCLOUD project is supported by these modelling results. The implications of this for the indirect effect will be explored in future work.

AB - A numerical model has been used to simulate the conditions observed during the ACE-2 Hillcloud experiment and to study the processes which may be taking place. The model incorporates gas phase chemistry of sulphur and nitrogen compounds upstream of the cloud, and the interaction of aerosol, precursor trace gases and oxidants within the cloud. Gas phase and aerosol inputs to the model have been provided from measurements made in the field. Dynamics of the air flow over the hill consisted of simple prescribed dynamics based on wind speed measurements, and also for some cases modelled dynamics. In this modelling study, it was found that during clean case studies particles down to 40-55 nm diameter were activated to form cloud droplets, the total number of droplets formed ranging from 200 to 400 drops/cm3. Significant modification of the aerosol spectra due to cloud processing was observed. In polluted cases particles down to 65-80 nm diameter were activated to form cloud droplets, the total number of droplets ranging from 800 to 2800 drops/cm3. Modification of the aerosol spectra due to cloud processing was slight. In all cases, changes in the aerosol spectra were due to both the uptake of HNO3, HCl, NH3 and SO2 from the gas phase, (the SO2 being oxidised to sulphate) and the repartitioning of species such as HNO3, HCl, and NH3 from larger particles onto smaller ones. Modelling results have been compared with observations made. Modelled droplet numbers are typically within 20% of the best measured values. The mode of the droplet distribution typically around 10-20 μm for clean cases and 4-8 μm for polluted cases was found to be in good agreement with the measured values of 10-25 μm for clean cases, but not in such good agreement for polluted cases. Measurements of upwind and interstitial aerosol distributions showed that the smallest particles activated were 30 and 50 nm for clean and polluted cases respectively, slightly smaller than the model values quoted above. Measured upwind and downwind aerosol spectra showed similar modification to that predicted by the model in eight out of the eleven model runs carried out. Chemistry measurements also give general evidence for both the uptake of species from the gas phase, and repartitioning of species from large particles onto smaller ones, though comparisons for individual cases are more difficult. From this modelling study, it can be concluded that in general, in the remote environment the exchange of hydrochloric acid, nitric acid and ammonia between aerosol particles and take up from the gas phase in the vicinity of cloud may be a very important mechanism in regulating the evolution of the aerosol spectrum. Further, the much more linear relationship between cloud droplet and accumulation mode aerosol number, which was observed in the measurements made during the ACE-2 HILLCLOUD project is supported by these modelling results. The implications of this for the indirect effect will be explored in future work.

UR - http://www.scopus.com/inward/record.url?scp=0034074209&partnerID=8YFLogxK

U2 - 10.1034/j.1600-0889.2000.00029.x

DO - 10.1034/j.1600-0889.2000.00029.x

M3 - Article

AN - SCOPUS:0034074209

VL - 52

SP - 779

EP - 800

JO - Tellus. Series B: Chemical and Physical Meteorology

JF - Tellus. Series B: Chemical and Physical Meteorology

SN - 1600-0889

IS - 2

ER -