Articles | Volume 14, issue 1
https://doi.org/10.5194/amt-14-369-2021
https://doi.org/10.5194/amt-14-369-2021
Research article
 | 
18 Jan 2021
Research article |  | 18 Jan 2021

Simulated reflectance above snow constrained by airborne measurements of solar radiation: implications for the snow grain morphology in the Arctic

Soheila Jafariserajehlou, Vladimir V. Rozanov, Marco Vountas, Charles K. Gatebe, and John P. Burrows

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Cited articles

Aoki, T., Aoki, T., Fukabori, M., and Uchiyama, A.: Numerical simulation of the atmospheric effects on snow albedo with a multiple scattering radiative transfer model for the atmosphere-snow system, J. Meteorol. Soc. Jpn., 77, 595–614, https://doi.org/10.2151/jmsj1965.77.2_595, 1999.  
Arnold, G. T., Tsay, S.-C., King, M. D., Li, J. Y., and Soulen, P. F.: Airborne spectral measurements of surface-atmosphere anisotropy for arctic sea ice and tundra, Int. J. Remote Sens., 23, 3763–3781, https://doi.org/10.1080/01431160110117373, 2002. 
Arrhenius, S.: On the influence of carbonic acid in the air upon the temperature of the ground, Mag. J. Sci., 41, 237–276, 1896. 
Bailey, M. and Hallett, J.: Growth rates and habits of ice crystals between −20C and −70C, J. Atmos. Sci., 61, 514–544, https://doi.org/10.1175/1520-0469(2004)061<0514:GRAHOI>2.0.CO;2, 2004. 
Barkstrom, B.: Some Effects of Multiple Scattering on the Distribution of Solar Radiation in Snow and Ice, J. Glaciol., 11, 357–368, https://doi.org/10.3189/S0022143000022334, 1972. 
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Short summary
In this work, we study retrieval of snow grain morphologies and their impact on the reflectance in a coupled snow–atmosphere system. We present a sensitivity study to highlight the importance of having adequate information about snow and atmosphere. A novel two-stage algorithm for retrieving the size and shape of snow grains is presented. The reflectance simulation results are compared to that of airborne measurements; high correlations of 0.98 at IR and 0.88–0.98 at VIS are achieved.