Articles | Volume 14, issue 10
Atmos. Chem. Phys., 14, 5111–5125, 2014
https://doi.org/10.5194/acp-14-5111-2014
Atmos. Chem. Phys., 14, 5111–5125, 2014
https://doi.org/10.5194/acp-14-5111-2014

Research article 26 May 2014

Research article | 26 May 2014

Effects of aerosols on precipitation in north-eastern North America

R. Mashayekhi and J. J. Sloan R. Mashayekhi and J. J. Sloan
  • Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON, N2L 3G1, Canada

Abstract. The changes in precipitation in north-eastern North America caused by chemistry – and particularly anthropogenic aerosols – are investigated using the Weather Research Forecasting with Chemistry (WRF/Chem v3.2) model. The simulations were carried out for a five-month period from April to August 2009. The model results show that non-negligible changes in both convective and cloud-resolved (non-convective) precipitation are caused by chemistry and/or aerosols over most parts of the domain. The changes can be attributed to both radiative and microphysical interactions with the meteorology. A chemistry-induced change of approximately −15% is found in the five-month mean daily convective precipitation over areas with high convective rain; most of this can be traced to radiative effects. Total convective rain is greater than total non-convective rain in the domain, but a chemistry-induced increase of about 30% is evident in the five-month mean daily non-convective precipitation over the heavily urbanized parts of the Atlantic coast. The effects of aerosols on cloud microphysics and precipitation were examined for two particle size ranges, 0.039–0.1 μm and 1–2.5 μm, representing the nucleation and accumulation modes respectively. Strongly positive spatial correlation between cloud droplet number and non-convective rain are found for activated (cloud-borne) aerosols in both size ranges. Non-activated (interstitial) aerosols have a positive correlation with cloud droplet number and non-convective rain when they are small and an inverse correlation for larger sizes.

Download
Altmetrics
Final-revised paper
Preprint