Articles | Volume 14, issue 1
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,, 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,, 2002. 
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Bailey, M. and Hallett, J.: Growth rates and habits of ice crystals between −20C and −70C, J. Atmos. Sci., 61, 514–544,<0514:GRAHOI>2.0.CO;2, 2004. 
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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.