Abstract
Abstract. The aerosol–radiation–meteorology feedback loop is the process by which aerosols interact with solar radiation to influence boundary layer meteorology. Through this feedback, aerosols cause cooling of the surface, resulting in reduced buoyant turbulence, enhanced atmospheric stratification and suppressed boundary layer growth. These changes in meteorology result in the accumulation of aerosols in a shallow boundary layer, which can enhance the extent of aerosol–radiation interactions. The feedback effect is thought to be important during periods of high aerosol concentrations, for example, during urban haze. However, direct quantification and isolation of the factors and processes affecting the feedback loop have thus far been limited to observations and low-resolution modelling studies. The coupled large-eddy simulation (LES)–aerosol model, the University of California, Los Angeles large-eddy simulation – Sectional Aerosol Scheme for Large Scale Applications (UCLALES-SALSA), allows for direct interpretation on the sensitivity of boundary layer dynamics to aerosol perturbations. In this work, UCLALES-SALSA has for the first time been explicitly set up to model the urban environment, including addition of an anthropogenic heat flux and treatment of heat storage terms, to examine the sensitivity of meteorology to the newly coupled aerosol–radiation scheme. We find that (a) sensitivity of boundary layer dynamics in the model to initial meteorological conditions is extremely high, (b) simulations with high aerosol loading (220 µg m−3) compared to low aerosol loading (55 µg m−3) cause overall surface cooling and a reduction in sensible heat flux, turbulent kinetic energy and planetary boundary layer height for all 3 d examined, and (c) initial meteorological conditions impact the vertical distribution of aerosols throughout the day.
Reference48 articles.
1. Ács, F., Mihailović, D. T., and Rajković, B.: A Coupled Soil Moisture and Surface Temperature Prediction Model, J. Appl. Meteorol., 30, 812–822, https://doi.org/10.1175/1520-0450(1991)030<0812:ACSMAS>2.0.CO;2, 1991. a, b
2. Andrejczuk, M., Gadian, A., and Blyth, A.: Numerical simulations of
stratocumulus cloud response to aerosol perturbation, Atmos. Res.,
140–141, 76–84, https://doi.org/10.1016/j.atmosres.2014.01.006, 2014. a
3. Bellon, G. and Stevens, B.: Using the sensitivity of large-eddy simulations to evaluate atmospheric boundary layer models, J. Atmos.
Sci., 69, 1582–1601, https://doi.org/10.1175/JAS-D-11-0160.1, 2012. a
4. Bond, T. C. and Bergstrom, R. W.: Light absorption by carbonaceous particles: An investigative review, Aerosol Sci. Tech., 40, 27–67,
https://doi.org/10.1080/02786820500421521, 2006. a
5. Byun, D. W.: Dynamically consistent formulations in meteorological and air
quality models for multiscale atmospheric studies. Part II: Mass conservation
issues, J. Atmos. Sci., 56, 3808–3820,
https://doi.org/10.1175/1520-0469(1999)056<3808:DCFIMA>2.0.CO;2, 1999. a
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