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Ehrlich, André; Bierwirth, Eike; Istomina, Larysa; Wendisch, Manfred (2017): Cloud optical thickness, cloud particle effective radius, and effective snow grain size retrieved from airborne spectral reflectivity measurements during VERDI 2012 over the Beaufort Sea. PANGAEA, https://doi.org/10.1594/PANGAEA.882979, Supplement to: Ehrlich, A et al. (2017): Combined retrieval of Arctic liquid water cloud and surface snow properties using airborne spectral solar remote sensing. Atmospheric Measurement Techniques, 10(9), 3215-3230, https://doi.org/10.5194/amt-10-3215-2017

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Abstract:
The data contain time series of cloud optical thickness, cloud particle effective radius, and effective snow grain size retrieved from airborne spectral reflectivity measurements during the Vertical Distribution of Ice in Arctic Clouds (VERDI) campaign 2012 over the Beaufort Sea. Along the flight track of the Polar 5 aircraft operated by the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI), the cloud and snow properties were derived simultaneously by applying a trispectral retrieval algorithm using reflectivity ratios as described by Ehrlich et al. (2017). Corresponding spectral nadir reflectivities measured by the spectral modular airborne radiation measurement system (SMART) at 645 nm, 860 nm, 1040 nm, 1655 nm, and 2100 nm wavelength are provided. Satellite observations of the moderate-resolution imaging spectroradiometer (MODIS) cloud product Collection 6 were extracted along the flight track.
Project(s):
Coverage:
Median Latitude: 69.619207 * Median Longitude: -136.346289 * South-bound Latitude: 69.053130 * West-bound Longitude: -138.562530 * North-bound Latitude: 70.007510 * East-bound Longitude: -133.445330
Date/Time Start: 2012-04-29T16:54:00 * Date/Time End: 2012-05-17T17:12:00
Comment:
Vertical Distribution of Ice in Arctic Clouds (VERDI) campaign, Inuvik, Northwest Territories, Canada, 21 April 2012 - 17 May 2012.
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** Use of these data requires prior OK from the PIs. The VERDI Data Protocol applies **
Size:
2 datasets

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