Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3215-2017
https://doi.org/10.5194/amt-10-3215-2017
Research article
 | 
04 Sep 2017
Research article |  | 04 Sep 2017

Combined retrieval of Arctic liquid water cloud and surface snow properties using airborne spectral solar remote sensing

André Ehrlich, Eike Bierwirth, Larysa Istomina, and Manfred Wendisch

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Cited articles

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Brückner, M., Pospichal, B., Macke, A., and Wendisch, M.: A new multispectral cloud retrieval method for ship-based solar transmissivity measurements, J. Geophys. Res., 119, 11338–11354, https://doi.org/10.1002/2014JD021775, 2014.
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Ehrlich, A., Bierwirth, E., Wendisch, M., Gayet, J.-F., Mioche, G., Lampert, A., and Heintzenberg, J.: Cloud phase identification of Arctic boundary-layer clouds from airborne spectral reflection measurements: test of three approaches, Atmos. Chem. Phys., 8, 7493–7505, https://doi.org/10.5194/acp-8-7493-2008, 2008.
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Short summary
In the Arctic, uncertainties in passive solar remote sensing of cloud properties arise from uncertainties in the assumed spectral surface albedo, mainly determined by the generally unknown effective snow grain size. Therefore, a retrieval method is presented that simultaneously derives liquid water cloud and snow surface parameters, including cloud optical thickness, droplet effective radius, and effective snow grain size. Airborne measurements were used to test the retrieval procedure.