Mineral dust impact on snow radiative properties in the European Alps combining ground, UAV, and satellite observations

In this paper, we evaluate the impact of mineral dust (MD) on snow radiative properties in the European Alps at ground, aerial, and satellite scale. A field survey was conducted to acquire snow spectral reflectance measurements with an Analytical Spectral Device (ASD) Field Spec Pro spectroradiomete...

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Bibliographic Details
Published in:Journal of geophysical research. Atmospheres 2015-06, Vol.120 (12), p.6080-6097
Main Authors: Di Mauro, B., Fava, F., Ferrero, L., Garzonio, R., Baccolo, G., Delmonte, B., Colombo, R.
Format: Article
Language:English
Subjects:
Alps
Computer simulation
Dust
European Alps
Geophysics
Landsat 8
Meteorology
mineral dust
Mineralogy
Minerals
radiative forcing
Snow
snow albedo
Spectra
UAV
Unmanned aerial vehicles
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Summary:In this paper, we evaluate the impact of mineral dust (MD) on snow radiative properties in the European Alps at ground, aerial, and satellite scale. A field survey was conducted to acquire snow spectral reflectance measurements with an Analytical Spectral Device (ASD) Field Spec Pro spectroradiometer. Surface snow samples were analyzed to determine the concentration and size distribution of MD in each sample. An overflight of a four‐rotor Unmanned Aerial Vehicle (UAV) equipped with an RGB digital camera sensor was carried out during the field operations. Finally, Landsat 8 Operational Land Imager (OLI) data covering the central European Alps were analyzed. Observed reflectance evidenced that MD strongly reduced the spectral reflectance of snow, in particular, from 350 to 600 nm. Reflectance was compared with that simulated by parameterizing the Snow, Ice, and Aerosol Radiation radiative transfer model. We defined a novel spectral index, the Snow Darkening Index (SDI), that combines different wavelengths showing nonlinear correlation with measured MD concentrations (R2 = 0.87, root‐mean‐square error = 0.037). We also estimated a positive instantaneous radiative forcing that reaches values up to 153 W/m2 for the most concentrated sampling area. SDI maps at local scale were produced using the UAV data, while regional SDI maps were generated with OLI data. These maps show the spatial distribution of MD in snow after a natural deposition from the Saharan desert. Such postdepositional experimental data are fundamental for validating radiative transfer models and global climate models that simulate the impact of MD on snow radiative properties. Key Points Saharan mineral dust (MD) strongly alters snow radiative properties in the Alps Novel Snow Darkening Index (SDI) allows to represent the impact of MD on snow Differences between observed and simulated spectra were ascribed to large particles (>30 µm)
ISSN:2169-897X
2169-8996
DOI:10.1002/2015JD023287