Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice

<p>The role of clouds in recent Arctic warming is not fully understood, including their effects on the solar radiation and the surface energy budget. To investigate relevant small-scale processes in detail, the intensive Physical feedbacks of Arctic planetary boundary layer, Sea ice, Cloud and...

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Main Authors: C. Barrientos Velasco, H. Deneke, H. Griesche, P. Seifert, R. Engelmann, A. Macke
Format: Article
Language:English
Published: Copernicus Publications 2020-04-01
Series:Atmospheric Measurement Techniques
Online Access:https://www.atmos-meas-tech.net/13/1757/2020/amt-13-1757-2020.pdf
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spelling doaj-935d459d6ea3464fb56bf71ec59ad94e2020-11-25T01:48:01ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482020-04-01131757177510.5194/amt-13-1757-2020Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea iceC. Barrientos VelascoH. DenekeH. GriescheP. SeifertR. EngelmannA. Macke<p>The role of clouds in recent Arctic warming is not fully understood, including their effects on the solar radiation and the surface energy budget. To investigate relevant small-scale processes in detail, the intensive Physical feedbacks of Arctic planetary boundary layer, Sea ice, Cloud and AerosoL (PASCAL) drifting ice floe station field campaign was conducted during early summer in the central arctic. During this campaign, the small-scale spatiotemporal variability of global irradiance was observed for the first time on an ice floe with a dense network of autonomous pyranometers. A total of 15 stations were deployed covering an area of <span class="inline-formula">0.83 km×1.59 km</span> from 4–16 June 2017. This unique, open-access dataset is described here, and an analysis of the spatiotemporal variability deduced from this dataset is presented for different synoptic conditions. Based on additional observations, five typical sky conditions were identified and used to determine the values of the mean and variance of atmospheric global transmittance for these conditions. Overcast conditions were observed 39.6&thinsp;% of the time predominantly during the first week, with an overall mean transmittance of 0.47. The second most frequent conditions corresponded to multilayer clouds (32.4&thinsp;%), which prevailed in particular during the second week, with a mean transmittance of 0.43. Broken clouds had a mean transmittance of 0.61 and a frequency of occurrence of 22.1&thinsp;%. Finally, the least frequent sky conditions were thin clouds and cloudless conditions, which both had a mean transmittance of 0.76 and occurrence frequencies of 3.5&thinsp;% and 2.4&thinsp;%, respectively. For overcast conditions, lower global irradiance was observed for stations closer to the ice edge, likely attributable to the low surface albedo of dark open water and a resulting reduction of multiple reflections between the surface and cloud base. Using a wavelet-based multi-resolution analysis, power spectra of the time series of atmospheric transmittance were compared for single-station and spatially averaged observations and for different sky conditions. It is shown that both the absolute magnitude and the scale dependence of variability contains characteristic features for the different sky conditions.</p>https://www.atmos-meas-tech.net/13/1757/2020/amt-13-1757-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author C. Barrientos Velasco
H. Deneke
H. Griesche
P. Seifert
R. Engelmann
A. Macke
spellingShingle C. Barrientos Velasco
H. Deneke
H. Griesche
P. Seifert
R. Engelmann
A. Macke
Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice
Atmospheric Measurement Techniques
author_facet C. Barrientos Velasco
H. Deneke
H. Griesche
P. Seifert
R. Engelmann
A. Macke
author_sort C. Barrientos Velasco
title Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice
title_short Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice
title_full Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice
title_fullStr Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice
title_full_unstemmed Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice
title_sort spatiotemporal variability of solar radiation introduced by clouds over arctic sea ice
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2020-04-01
description <p>The role of clouds in recent Arctic warming is not fully understood, including their effects on the solar radiation and the surface energy budget. To investigate relevant small-scale processes in detail, the intensive Physical feedbacks of Arctic planetary boundary layer, Sea ice, Cloud and AerosoL (PASCAL) drifting ice floe station field campaign was conducted during early summer in the central arctic. During this campaign, the small-scale spatiotemporal variability of global irradiance was observed for the first time on an ice floe with a dense network of autonomous pyranometers. A total of 15 stations were deployed covering an area of <span class="inline-formula">0.83 km×1.59 km</span> from 4–16 June 2017. This unique, open-access dataset is described here, and an analysis of the spatiotemporal variability deduced from this dataset is presented for different synoptic conditions. Based on additional observations, five typical sky conditions were identified and used to determine the values of the mean and variance of atmospheric global transmittance for these conditions. Overcast conditions were observed 39.6&thinsp;% of the time predominantly during the first week, with an overall mean transmittance of 0.47. The second most frequent conditions corresponded to multilayer clouds (32.4&thinsp;%), which prevailed in particular during the second week, with a mean transmittance of 0.43. Broken clouds had a mean transmittance of 0.61 and a frequency of occurrence of 22.1&thinsp;%. Finally, the least frequent sky conditions were thin clouds and cloudless conditions, which both had a mean transmittance of 0.76 and occurrence frequencies of 3.5&thinsp;% and 2.4&thinsp;%, respectively. For overcast conditions, lower global irradiance was observed for stations closer to the ice edge, likely attributable to the low surface albedo of dark open water and a resulting reduction of multiple reflections between the surface and cloud base. Using a wavelet-based multi-resolution analysis, power spectra of the time series of atmospheric transmittance were compared for single-station and spatially averaged observations and for different sky conditions. It is shown that both the absolute magnitude and the scale dependence of variability contains characteristic features for the different sky conditions.</p>
url https://www.atmos-meas-tech.net/13/1757/2020/amt-13-1757-2020.pdf
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