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CMAQ Nucleation Algorithms and their impact on PM modeling results in the Lower Fraser Valley. Helmut Roth, Weimin Jiang, Dazhong Yin, and É ric Giroux. National Research Council of Canada Ottawa, Canada. Introduction Nucleation Rates Impact on PM Conclusions & future work.
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CMAQ Nucleation Algorithms and their impact on PM modeling results in the Lower Fraser Valley Helmut Roth, Weimin Jiang, Dazhong Yin, and Éric Giroux National Research Council of Canada Ottawa, Canada
Introduction • Nucleation Rates • Impact on PM • Conclusions & future work
Introduction • Episode: Pacific ’93 (1993 Jul 31 – Aug 07) • Emissions: SMOKE, Giroux, É. et al • Meteorology: MM5, Yin, D. et al • Domain • Nucleation Algorithms
Nucleation parameterizations & algorithms • HK98: Harrington and Kreidenweis (1998) • Fully coupled equations of 2-mode 2-moment model • implemented in aero2 • KLPx: Kulmala et al (1998) • Equations of classical nucleation theory • Implemented in aero2, aero3: KLP2, KLP3 • Differencesin number distribution, density • sulphuric acid – water system
1st layer number rate statistics all maxima occur in cell (17,8) Neptune Beach
Correlation at time of peak nucleation r2=0.9 Aug 05 13:00
Impact on PM concentrations: model runs • Common inputs • Full gas phase calculations • All aerosol processes • Different nucleation algorithms: • NOOP HK98 KLP2 KLP3
Number concentration PM2.5 i-mode
Sulphate (ASO4) concentration PM2.5 i-mode
Main Conclusions • KLP2 and KLP3 results very similar • KLPx had greatest individual cell rate. • HK98 had greatest average rates. • HK98 more responsive to [SULAER] fluctuations. • HK98 increases number concentration over NOOP; KLPx does not. • No increase in PM2.5 SO4 mass over NOOP.
Future work • Impact of nucleation algorithms on model performance using ambient number concentration data
Acknowledgements • U.S. EPA: CMAQ source code • Environment Canada: emissions and met data, ambient PM mass data • Program of Energy Research and Development (PERD) in Canada: funding support