Delay in Arctic Sea Ice Freeze-Up Linked to Early Summer Sea Ice Loss: Evidence from Satellite Observations
The past decades have witnessed a rapid loss of the Arctic sea ice and a significant lengthening of the melt season. The years with the lowest summertime sea ice minimum were found to be accompanied by the latest freeze-up onset on record. Here, a synthetic approach is taken to examine the connectio...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2021
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs13112162 |
id |
ftmdpi:oai:mdpi.com:/2072-4292/13/11/2162/ |
---|---|
record_format |
openpolar |
spelling |
ftmdpi:oai:mdpi.com:/2072-4292/13/11/2162/ 2023-08-20T03:59:17+02:00 Delay in Arctic Sea Ice Freeze-Up Linked to Early Summer Sea Ice Loss: Evidence from Satellite Observations Lei Zheng Xiao Cheng Zhuoqi Chen Qi Liang agris 2021-05-31 application/pdf https://doi.org/10.3390/rs13112162 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs13112162 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 11; Pages: 2162 Arctic remote sensing sea ice loss melt timing ice-albedo feedback Text 2021 ftmdpi https://doi.org/10.3390/rs13112162 2023-08-01T01:51:18Z The past decades have witnessed a rapid loss of the Arctic sea ice and a significant lengthening of the melt season. The years with the lowest summertime sea ice minimum were found to be accompanied by the latest freeze-up onset on record. Here, a synthetic approach is taken to examine the connections between sea ice melt timing and summer sea ice evolution from the remote sensing perspective. A 40-year (1979–2018) satellite-based time-series analysis shows that the date of autumn sea ice freeze-up is significantly correlated with the sea ice extent in early summer (r = −0.90, p < 0.01), while the spring melt onset is not a promising predictor of summer sea ice evolution. The delay in Arctic sea ice freeze-up (0.61 days year−1) in the Arctic was accompanied by a decline in surface albedo (absolute change of −0.13% year−1), an increase in net short-wave radiation (0.21 W m−2 year−1), and an increase in skin temperature (0.08 °C year−1) in summer. Sea ice loss would be the key reason for the delay in autumn freeze-up, especially in the Laptev, East-Siberian, Chukchi and Beaufort Seas, where sea ice has significantly declined throughout the summer, and strong correlations were found between the freeze-up onset and the solar radiation budget since early summer. This study highlights a connection between the summer sea ice melting and the autumn refreezing process through the ice-albedo feedback based on multisource satellite-based observations. Text albedo Arctic Chukchi laptev Sea ice MDPI Open Access Publishing Arctic Remote Sensing 13 11 2162 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
Arctic remote sensing sea ice loss melt timing ice-albedo feedback |
spellingShingle |
Arctic remote sensing sea ice loss melt timing ice-albedo feedback Lei Zheng Xiao Cheng Zhuoqi Chen Qi Liang Delay in Arctic Sea Ice Freeze-Up Linked to Early Summer Sea Ice Loss: Evidence from Satellite Observations |
topic_facet |
Arctic remote sensing sea ice loss melt timing ice-albedo feedback |
description |
The past decades have witnessed a rapid loss of the Arctic sea ice and a significant lengthening of the melt season. The years with the lowest summertime sea ice minimum were found to be accompanied by the latest freeze-up onset on record. Here, a synthetic approach is taken to examine the connections between sea ice melt timing and summer sea ice evolution from the remote sensing perspective. A 40-year (1979–2018) satellite-based time-series analysis shows that the date of autumn sea ice freeze-up is significantly correlated with the sea ice extent in early summer (r = −0.90, p < 0.01), while the spring melt onset is not a promising predictor of summer sea ice evolution. The delay in Arctic sea ice freeze-up (0.61 days year−1) in the Arctic was accompanied by a decline in surface albedo (absolute change of −0.13% year−1), an increase in net short-wave radiation (0.21 W m−2 year−1), and an increase in skin temperature (0.08 °C year−1) in summer. Sea ice loss would be the key reason for the delay in autumn freeze-up, especially in the Laptev, East-Siberian, Chukchi and Beaufort Seas, where sea ice has significantly declined throughout the summer, and strong correlations were found between the freeze-up onset and the solar radiation budget since early summer. This study highlights a connection between the summer sea ice melting and the autumn refreezing process through the ice-albedo feedback based on multisource satellite-based observations. |
format |
Text |
author |
Lei Zheng Xiao Cheng Zhuoqi Chen Qi Liang |
author_facet |
Lei Zheng Xiao Cheng Zhuoqi Chen Qi Liang |
author_sort |
Lei Zheng |
title |
Delay in Arctic Sea Ice Freeze-Up Linked to Early Summer Sea Ice Loss: Evidence from Satellite Observations |
title_short |
Delay in Arctic Sea Ice Freeze-Up Linked to Early Summer Sea Ice Loss: Evidence from Satellite Observations |
title_full |
Delay in Arctic Sea Ice Freeze-Up Linked to Early Summer Sea Ice Loss: Evidence from Satellite Observations |
title_fullStr |
Delay in Arctic Sea Ice Freeze-Up Linked to Early Summer Sea Ice Loss: Evidence from Satellite Observations |
title_full_unstemmed |
Delay in Arctic Sea Ice Freeze-Up Linked to Early Summer Sea Ice Loss: Evidence from Satellite Observations |
title_sort |
delay in arctic sea ice freeze-up linked to early summer sea ice loss: evidence from satellite observations |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13112162 |
op_coverage |
agris |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic Chukchi laptev Sea ice |
genre_facet |
albedo Arctic Chukchi laptev Sea ice |
op_source |
Remote Sensing; Volume 13; Issue 11; Pages: 2162 |
op_relation |
https://dx.doi.org/10.3390/rs13112162 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs13112162 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
11 |
container_start_page |
2162 |
_version_ |
1774724905306161152 |