Articles | Volume 14, issue 4
Atmos. Meas. Tech., 14, 2673–2697, 2021
https://doi.org/10.5194/amt-14-2673-2021
Atmos. Meas. Tech., 14, 2673–2697, 2021
https://doi.org/10.5194/amt-14-2673-2021

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 et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Hong Chen on behalf of the Authors (19 May 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 May 2020) by Manfred Wendisch
RR by Anonymous Referee #2 (08 Jun 2020)
RR by Anonymous Referee #1 (13 Jun 2020)
ED: Reconsider after major revisions (15 Jun 2020) by Manfred Wendisch
AR by Hong Chen on behalf of the Authors (31 Aug 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 Sep 2020) by Manfred Wendisch
RR by Anonymous Referee #2 (13 Sep 2020)
ED: Publish as is (14 Sep 2020) by Manfred Wendisch

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Hong Chen on behalf of the Authors (01 Apr 2021)   Author's adjustment   Manuscript
EA: Adjustments approved (01 Apr 2021) by Manfred Wendisch
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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.