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...
Main Authors: | , , , , , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Katlenburg-Lindau : Copernicus
2020
|
Subjects: | |
Online Access: | https://dx.doi.org/10.34657/5291 https://oa.tib.eu/renate/handle/123456789/6244 |
id |
ftdatacite:10.34657/5291 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.34657/5291 2023-05-15T13:11:31+02:00 Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice Barrientos Velasco, Carola Deneke, Hartwig Griesche, Hannes Seifert, Patric Engelmann, Ronny Macke, Andreas 2020 https://dx.doi.org/10.34657/5291 https://oa.tib.eu/renate/handle/123456789/6244 en eng Katlenburg-Lindau : Copernicus Creative Commons Attribution 4.0 International CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY cloud Arctic warming solar radiation 550 CreativeWork article 2020 ftdatacite https://doi.org/10.34657/5291 2022-03-10T12:44:35Z 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 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. Article in Journal/Newspaper albedo Arctic Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
cloud Arctic warming solar radiation 550 |
spellingShingle |
cloud Arctic warming solar radiation 550 Barrientos Velasco, Carola Deneke, Hartwig Griesche, Hannes Seifert, Patric Engelmann, Ronny Macke, Andreas Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice |
topic_facet |
cloud Arctic warming solar radiation 550 |
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 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. |
format |
Article in Journal/Newspaper |
author |
Barrientos Velasco, Carola Deneke, Hartwig Griesche, Hannes Seifert, Patric Engelmann, Ronny Macke, Andreas |
author_facet |
Barrientos Velasco, Carola Deneke, Hartwig Griesche, Hannes Seifert, Patric Engelmann, Ronny Macke, Andreas |
author_sort |
Barrientos Velasco, Carola |
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 |
Katlenburg-Lindau : Copernicus |
publishDate |
2020 |
url |
https://dx.doi.org/10.34657/5291 https://oa.tib.eu/renate/handle/123456789/6244 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic Sea ice |
genre_facet |
albedo Arctic Sea ice |
op_rights |
Creative Commons Attribution 4.0 International CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.34657/5291 |
_version_ |
1766247752754266112 |