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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 6
Atmos. Meas. Tech., 10, 2129–2147, 2017
https://doi.org/10.5194/amt-10-2129-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Twenty-five years of operations of the Network for the Detection...

Atmos. Meas. Tech., 10, 2129–2147, 2017
https://doi.org/10.5194/amt-10-2129-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 09 Jun 2017

Research article | 09 Jun 2017

Thin ice clouds in the Arctic: cloud optical depth and particle size retrieved from ground-based thermal infrared radiometry

Yann Blanchard et al.
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Cited articles  
Allen, J. R.: Measurements of Cloud Emissivity in the 8–13 μ Waveband, J. Appl. Meteor., 10, 260–265, https://doi.org/10.1175/1520-0450(1971)010<0260:MOCEIT>2.0.CO;2, 1971.
Baran, A. J.: From the single-scattering properties of ice crystals to climate prediction: A way forward, Atmos. Res., 112, 45–69, https://doi.org/10.1016/j.atmosres.2012.04.010, 2012.
Battan, L. J.: Radar observation of the atmosphere, Q. J. Roy. Meteorol. Soc., 99, 793–793, https://doi.org/10.1002/qj.49709942229, 1973.
Baum, B. A., Yang, P., Heymsfield, A. J., Bansemer, A., Cole, B. H., Merrelli, A., Schmitt, C., and Wang, C.: Ice cloud single-scattering property models with the full phase matrix at wavelengths from 0.2 to 100 μ m, J. Quant. Spectrosc. Ra., 146, 123–139, https://doi.org/10.1016/j.jqsrt.2014.02.029, 2014.
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Multiband thermal measurements of zenith sky radiance were used in a retrieval algorithm, to estimate cloud optical depth and effective particle diameter of thin ice clouds in the Canadian High Arctic. The retrieval technique was validated using a synergy lidar and radar data. Inversions were performed across three polar winters and results showed a significant correlation (R2 = 0.95) for cloud optical depth retrievals and an overall accuracy of 83 % for the classification of thin ice clouds.
Multiband thermal measurements of zenith sky radiance were used in a retrieval algorithm, to...
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