We study the statistical relations between the black carbon (BC) content in the atmospheric column and the surface albedo (A), the values of which are available from MERRA-2 reanalysis data for four test areas near the Arctic coast of Russia in April 2010–2016. We also analyze the atmospheric meteorological parameters: air temperature and rainfall and snowfall amounts. The statistical analysis has been carried out using diurnally averaged parameters. An increase in the air temperature is accompanied everywhere by a decrease in the surface albedo, both on a monthly scale and in daily variations. Precipitation in the form of fresh snow increases the surface albedo. On the whole over 7 years, a significant negative correlation between BC and A in April was found in Nenets Autonomous okrug and on the Gydan Peninsula. Separate years (generally diverse for different areas) are revealed when day-to-day variations in A and BC correlate within a month, again with negative coefficients. We estimated possible albedo variations due to changes in different parameters, as well as variations in albedo radiative forcing.
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This work was supported in part by the Russian Fund for Basic Research (through grants nos. 18-05-60 183 and 18-05-60 216).
The authors declare that they have no conflicts of interest.
Translated by O. Bazhenov
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Vinogradova, A.A., Titkova, T.B. Atmospheric Black Carbon and Surface Albedo in the Russian Arctic during Spring. Atmos Ocean Opt 33, 260–266 (2020). https://doi.org/10.1134/S1024856020030136
- the Arctic
- black carbon
- surface albedo
- meteorological parameters
- multiple linear regression