Articles | Volume 12, issue 7
The Cryosphere, 12, 2371–2382, 2018
https://doi.org/10.5194/tc-12-2371-2018
The Cryosphere, 12, 2371–2382, 2018
https://doi.org/10.5194/tc-12-2371-2018
Research article
20 Jul 2018
Research article | 20 Jul 2018

On the reflectance spectroscopy of snow

Alexander Kokhanovsky et al.

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Basart, S., Pérez, C., Nickovic, S., Cuevas, E., and Baldasano, J. M.: Development and evaluation of the BSC-DREAM8b dust regional model over Northern Africa, the Mediterranean and the Middle East, Tellus B, 64, 2012, https://doi.org/10.3402/tellusb.v64i0.18539, 2012. 
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Di Mauro, B., Fava, F., Ferrero, R., Garzonio, R., Baccolo, G., Delmonte, B., and Colombo, R.: Mineral dust impact on snow radiative properties in the European Alps combining ground, UAV, and satellite observations, J. Geophys. Res.-Atmos., 120, 6080–6097, 2015. 
Doherty, S. J., Warren, S. G., Grenfell, T. C., Clarke, A. D., and Brandt, R. E.: Light-absorbing impurities in Arctic snow, Atmos. Chem. Phys., 10, 11647–11680, https://doi.org/10.5194/acp-10-11647-2010, 2010. 
Dozier, J., Green, R. O., Nolin, A. W., and Painter, T. H.: Interpretation of snow properties from imaging spectrometry, Remote Sens. Environ., 113, S25–S37, 2009. 
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Short summary
This work presents a new technique with which to derive the snow microphysical and optical properties from snow spectral reflectance measurements. The technique is robust and easy to use, and it does not require the extraction of snow samples from a given snowpack. It can be used in processing satellite imagery over extended fresh dry, wet and polluted snowfields.