Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 4
Articles | Volume 14, issue 4
https://doi.org/10.5194/amt-14-2673-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-2673-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 4
Research article
 | 
07 Apr 2021
Research article |  | 07 Apr 2021

The effect of low-level thin arctic clouds on shortwave irradiance: evaluation of estimates from spaceborne passive imagery with aircraft observations

Hong Chen, Sebastian Schmidt, Michael D. King, Galina Wind, Anthony Bucholtz, Elizabeth A. Reid, Michal Segal-Rozenhaimer, William L. Smith, Patrick C. Taylor, Seiji Kato, and Peter Pilewskie

Supplement

https://doi.org/10.5194/amt-14-2673-2021-supplement

Data sets

MODIS Atmosphere L2 Cloud Product (06_L2), NASA MODIS Adaptive Processing System S. Platnick, S. A. Ackerman, M. D. King, G. Wind, K. Meyer, W. P. Menzel, R. A. Frey,R. E. Holz, B. A. Baum, and P. Yang https://doi.org/10.5067/MODIS/MOD06_L2.006

Video supplement

Synchronized Flight Videos for ARISE Hong Chen and Sebastian Schmidt https://doi.org/10.5281/zenodo.4029241

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Short summary
In this paper, we accessed the shortwave irradiance derived from MODIS cloud optical properties by using aircraft measurements. We developed a data aggregation technique to parameterize spectral surface albedo by snow fraction in the Arctic. We found that undetected clouds have the most significant impact on the imagery-derived irradiance. This study suggests that passive imagery cloud detection could be improved through a multi-pixel approach that would make it more dependable in the Arctic.
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