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Volume 14, issue 14
Atmos. Chem. Phys., 14, 7617-7629, 2014
https://doi.org/10.5194/acp-14-7617-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 14, 7617-7629, 2014
https://doi.org/10.5194/acp-14-7617-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 30 Jul 2014

Research article | 30 Jul 2014

Comparison of surface and column measurements of aerosol scattering properties over the western North Atlantic Ocean at Bermuda

R. P. Aryal1,*, K. J. Voss1, P. A. Terman1,**, W. C. Keene2, J. L. Moody2, E. J. Welton3, and B. N. Holben4 R. P. Aryal et al.
  • 1Department of Physics, University of Miami, FL 33146, USA
  • 2Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22903, USA
  • 3Code 613.1, NASA GSFC, Greenbelt, MD 20771, USA
  • 4Code 614.4, NASA GSFC, Greenbelt, MD 20771, USA
  • *now at: Department of Physics, Eckerd College, St Petersburg, FL 33711, USA
  • **now at: Department of Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA

Abstract. Light scattering by size-resolved aerosols in near-surface air at Tudor Hill, Bermuda, was measured between January and June 2009. Vertical distributions of aerosol backscattering and column-averaged aerosol optical properties were characterized in parallel with a micro-pulse lidar (MPL) and an automated sun–sky radiometer. Comparisons were made between extensive aerosol parameters in the column, such as the lidar-retrieved extinction at 400 m and the aerosol optical depth (AOD), and scattering was measured with a surface nephelometer. Comparisons were also made for intensive parameters such as the Ångström exponent and calculations using AERONET(Aerosol Robotic Network)-derived aerosol physical parameters (size distribution, index of refraction) and Mie theory, and the ratio of submicron scattering to total scattering for size-segregated nephelometer measurements. In these comparisons the r2 was generally around 0.50. Data were also evaluated based on back trajectories. The correlation between surface scattering and lidar extinction was highest for flows when the surface scattering was dominated by smaller particles and the flow had a longer footprint over land then over the ocean. The correlation of AOD with surface scatter was similar for all flow regimes. There was also no clear dependence of the atmospheric lapse rate, as determined from a nearby radiosonde station, on flow regime. The Ångström exponent for most flow regimes was 0.9–1.0, but for the case of air originating from North America, but with significant time over the ocean, the Ångström exponent was 0.57 ± 0.18. The submicron fraction of aerosol near the surface (Rsub-surf) was significantly greater for the flows from land (0.66 ± 0.11) than for the flows which spent more time over the ocean (0.40 ± 0.05). When comparing Rsub-surf and the column-integrated submicron scattering fraction, Rsub-col, the correlation was similar, r2 = 0.50, but Rsub-surf was generally less than Rsub-col, indicating more large particles contributing to light scattering at the surface, contrary to conditions over continents and for polluted continental transport over the ocean. In general, though, the marginal correlations indicate that the column optical properties are weakly correlated with the surface optical measurements. Thus, if it is desired to associate aerosol chemical/physical properties with their optical properties, it is best to use optical and chemical/physical measurements with both collected at the surface or both collected in the column.

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