Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice
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...
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ftdoajarticles:oai:doaj.org/article:935d459d6ea3464fb56bf71ec59ad94e 2023-05-15T13:11:32+02:00 Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice C. Barrientos Velasco H. Deneke H. Griesche P. Seifert R. Engelmann A. Macke 2020-04-01T00:00:00Z https://doi.org/10.5194/amt-13-1757-2020 https://doaj.org/article/935d459d6ea3464fb56bf71ec59ad94e EN eng Copernicus Publications https://www.atmos-meas-tech.net/13/1757/2020/amt-13-1757-2020.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-13-1757-2020 1867-1381 1867-8548 https://doaj.org/article/935d459d6ea3464fb56bf71ec59ad94e Atmospheric Measurement Techniques, Vol 13, Pp 1757-1775 (2020) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2020 ftdoajarticles https://doi.org/10.5194/amt-13-1757-2020 2022-12-31T00:59:08Z 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 0.83 km×1.59 km 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 % 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 %), 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 %. 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 % and 2.4 %, 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 ... Article in Journal/Newspaper albedo Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Atmospheric Measurement Techniques 13 4 1757 1775 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
spellingShingle |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 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 |
topic_facet |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
description |
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 0.83 km×1.59 km 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 % 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 %), 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 %. 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 % and 2.4 %, 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 ... |
format |
Article in Journal/Newspaper |
author |
C. Barrientos Velasco H. Deneke H. Griesche P. Seifert R. Engelmann A. Macke |
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 |
publishDate |
2020 |
url |
https://doi.org/10.5194/amt-13-1757-2020 https://doaj.org/article/935d459d6ea3464fb56bf71ec59ad94e |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic Sea ice |
genre_facet |
albedo Arctic Sea ice |
op_source |
Atmospheric Measurement Techniques, Vol 13, Pp 1757-1775 (2020) |
op_relation |
https://www.atmos-meas-tech.net/13/1757/2020/amt-13-1757-2020.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-13-1757-2020 1867-1381 1867-8548 https://doaj.org/article/935d459d6ea3464fb56bf71ec59ad94e |
op_doi |
https://doi.org/10.5194/amt-13-1757-2020 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
13 |
container_issue |
4 |
container_start_page |
1757 |
op_container_end_page |
1775 |
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1766247852461260800 |