Articles | Volume 12, issue 9
https://doi.org/10.5194/amt-12-5087-2019
https://doi.org/10.5194/amt-12-5087-2019
Research article
 | 
23 Sep 2019
Research article |  | 23 Sep 2019

The impact of neglecting ice phase on cloud optical depth retrievals from AERONET cloud mode observations

Jonathan K. P. Shonk, Jui-Yuan Christine Chiu, Alexander Marshak, David M. Giles, Chiung-Huei Huang, Gerald G. Mace, Sally Benson, Ilya Slutsker, and Brent N. Holben

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Cited articles

Antón, M., Alados-Arboledas, L., Guerrero-Rascado, J. L., Costa, M. J., Chiu, J., and Olmo, F. J.: Experimental and modeled UV erythemal irradiance under overcast conditions: the role of cloud optical depth, Atmos. Chem. Phys., 12, 11723–11732, https://doi.org/10.5194/acp-12-11723-2012, 2012. 
Arking, A. and Childs, J. D.: Retrieval of cloud cover parameters from multispectral images, J. Clim. Appl. Meteorol., 24, 322–333, 1985. 
Barja, B., Bennouna, Y., Toledano, C., Antuña, J. C., Cachorro, V., Hernández, C., de Frutos, Á., and Estevan, R.: Cloud optical depth measurements with sun-photometer in Camagüey, Cuba, Óptica Pura y Aplicada, 45, 389–396, 2012. 
Barker, H. W. and Marshak, A.: Inferring optical depth of broken clouds above green vegetation using surface solar radiometric measurements, J. Atmos. Sci., 58, 3989–3006, 2001. 
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Short summary
Retrievals of cloud optical depth made using AERONET radiometers in “cloud mode” rely on the assumption that all cloud is liquid. The presence of ice cloud therefore introduces errors in the retrieved optical depth, which can be over 25 in optically thick ice clouds. However, such clouds are not frequent and the long-term mean optical depth error is about 3 for a sample of real clouds. A correction equation could improve the retrieval further, although this would require extra instrumentation.