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High‐Frequency Sea Ice Variability in Observations and Models
We characterize high‐frequency variability of sea ice extent (HFVSIE) in observations and climate models. We find that HFVSIE in models is biased low with respect to observations, especially at synoptic timescales (
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| Published in: | Geophysical research letters 2021-07, Vol.48 (14), p.n/a |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
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| cites | cdi_FETCH-LOGICAL-c3166-cf00a78017f102e39da6a572f2d64a3d1d8a4f06a16af17762b9953251c8f4ed3 |
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| container_issue | 14 |
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| container_title | Geophysical research letters |
| container_volume | 48 |
| creator | Blanchard‐Wrigglesworth, Edward Donohoe, Aaron Roach, Lettie A. DuVivier, Alice Bitz, Cecilia M. |
| description | We characterize high‐frequency variability of sea ice extent (HFVSIE) in observations and climate models. We find that HFVSIE in models is biased low with respect to observations, especially at synoptic timescales ( |
| doi_str_mv | 10.1029/2020GL092356 |
| format | article |
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Plain Language Summary
We quantify the variability of sea ice extent (SIE) in both polar regions at weather and sub‐seasonal timescales (3–60 days) in climate models and observations. We find that in general SIE is less variable in models compared to observations, while there is a large spread in variability across Climate Model Intercomparison Project 6 (CMIP6) models. This spread partly results from model spread in the mean state of sea ice, while model spread in wind variability does not appear to play a significant role. We investigate the coupling of atmospheric conditions and ocean wave state with events of rapid SIE gain or loss, and find that these events occur when winds blow perpendicular to the sea ice edge (“off‐ice” for SIE gains, and “on‐ice” for SIE loss). Particularly during winter, we also find distinct wave states: during SIE gain events, waves near the sea ice are smaller, and tend to travel away from the sea ice, while the opposite is true during SIE loss events. In models, the atmospheric patterns that couple with SIE gain or loss events tend to resemble those in observations, but there is also large spread in these patterns across models.
Key Points
High‐frequency variability of sea ice extent (HFVSIE) in models is generally biased low and inter‐model spread is large
In observations, HFVSIE is associated with sea level pressure dipoles, winds perpendicular to sea ice edge, and ocean wave state
Sea ice mean state plays a role in HFVSIE model spread. The lack of waves in models may be a source of bias for HFVSIE</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2020GL092356</identifier><language>eng</language><ispartof>Geophysical research letters, 2021-07, Vol.48 (14), p.n/a</ispartof><rights>2021. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3166-cf00a78017f102e39da6a572f2d64a3d1d8a4f06a16af17762b9953251c8f4ed3</citedby><cites>FETCH-LOGICAL-c3166-cf00a78017f102e39da6a572f2d64a3d1d8a4f06a16af17762b9953251c8f4ed3</cites><orcidid>0000-0002-2608-0868 ; 0000-0002-9477-7499 ; 0000-0003-1647-0990 ; 0000-0003-4189-3928</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2020GL092356$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2020GL092356$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,11494,27903,27904,46447,46871</link.rule.ids></links><search><creatorcontrib>Blanchard‐Wrigglesworth, Edward</creatorcontrib><creatorcontrib>Donohoe, Aaron</creatorcontrib><creatorcontrib>Roach, Lettie A.</creatorcontrib><creatorcontrib>DuVivier, Alice</creatorcontrib><creatorcontrib>Bitz, Cecilia M.</creatorcontrib><title>High‐Frequency Sea Ice Variability in Observations and Models</title><title>Geophysical research letters</title><description>We characterize high‐frequency variability of sea ice extent (HFVSIE) in observations and climate models. We find that HFVSIE in models is biased low with respect to observations, especially at synoptic timescales (<20 days) in the Arctic year‐round and at monthly timescales (30–60 days) in Antarctica in winter. Models show large spread in HFVSIE, especially in Antarctica. This spread is partly explained by sea ice mean‐state while model biases in sea level pressure (SLP) and wind variability do not appear to play a major role in HFVSIE spread. Extreme sea ice extent (SIE) changes are associated with SLP anomaly dipoles aligned with the sea ice edge and winds directed on‐ice (off‐ice) during SIE loss (gain) events. In observations, these events are also associated with distinct ocean wave states during the cold season, when waves are greater (smaller) and travel toward (away from) the sea ice edge during SIE loss (gain) events.
Plain Language Summary
We quantify the variability of sea ice extent (SIE) in both polar regions at weather and sub‐seasonal timescales (3–60 days) in climate models and observations. We find that in general SIE is less variable in models compared to observations, while there is a large spread in variability across Climate Model Intercomparison Project 6 (CMIP6) models. This spread partly results from model spread in the mean state of sea ice, while model spread in wind variability does not appear to play a significant role. We investigate the coupling of atmospheric conditions and ocean wave state with events of rapid SIE gain or loss, and find that these events occur when winds blow perpendicular to the sea ice edge (“off‐ice” for SIE gains, and “on‐ice” for SIE loss). Particularly during winter, we also find distinct wave states: during SIE gain events, waves near the sea ice are smaller, and tend to travel away from the sea ice, while the opposite is true during SIE loss events. In models, the atmospheric patterns that couple with SIE gain or loss events tend to resemble those in observations, but there is also large spread in these patterns across models.
Key Points
High‐frequency variability of sea ice extent (HFVSIE) in models is generally biased low and inter‐model spread is large
In observations, HFVSIE is associated with sea level pressure dipoles, winds perpendicular to sea ice edge, and ocean wave state
Sea ice mean state plays a role in HFVSIE model spread. The lack of waves in models may be a source of bias for HFVSIE</description><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9j01OwzAUhC0EEqGw4wA-AIFnO7HjFUIVTSsFVeJvG73ENhiFFOxClR1H4IychKCyYMVqZvFpNB8hxwxOGXB9xoFDWYHmIpc7JGE6y9ICQO2SBECPnSu5Tw5ifAIAAYIl5HzuHx6_Pj5nwb6-2b4d6I1FumgtvcfgsfGdXw_U93TZRBvece1XfaTYG3q1MraLh2TPYRft0W9OyN3s8nY6T6tluZheVGkrmJRp6wBQFcCUG59aoQ1KzBV33MgMhWGmwMyBRCbRMaUkb7TOBc9ZW7jMGjEhJ9vdNqxiDNbVL8E_YxhqBvWPfP1XfsT5Ft_4zg7_snV5XUmeF1J8A-U_Wpg</recordid><startdate>20210728</startdate><enddate>20210728</enddate><creator>Blanchard‐Wrigglesworth, Edward</creator><creator>Donohoe, Aaron</creator><creator>Roach, Lettie A.</creator><creator>DuVivier, Alice</creator><creator>Bitz, Cecilia M.</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-2608-0868</orcidid><orcidid>https://orcid.org/0000-0002-9477-7499</orcidid><orcidid>https://orcid.org/0000-0003-1647-0990</orcidid><orcidid>https://orcid.org/0000-0003-4189-3928</orcidid></search><sort><creationdate>20210728</creationdate><title>High‐Frequency Sea Ice Variability in Observations and Models</title><author>Blanchard‐Wrigglesworth, Edward ; Donohoe, Aaron ; Roach, Lettie A. ; DuVivier, Alice ; Bitz, Cecilia M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3166-cf00a78017f102e39da6a572f2d64a3d1d8a4f06a16af17762b9953251c8f4ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Blanchard‐Wrigglesworth, Edward</creatorcontrib><creatorcontrib>Donohoe, Aaron</creatorcontrib><creatorcontrib>Roach, Lettie A.</creatorcontrib><creatorcontrib>DuVivier, Alice</creatorcontrib><creatorcontrib>Bitz, Cecilia M.</creatorcontrib><collection>CrossRef</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Blanchard‐Wrigglesworth, Edward</au><au>Donohoe, Aaron</au><au>Roach, Lettie A.</au><au>DuVivier, Alice</au><au>Bitz, Cecilia M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High‐Frequency Sea Ice Variability in Observations and Models</atitle><jtitle>Geophysical research letters</jtitle><date>2021-07-28</date><risdate>2021</risdate><volume>48</volume><issue>14</issue><epage>n/a</epage><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>We characterize high‐frequency variability of sea ice extent (HFVSIE) in observations and climate models. We find that HFVSIE in models is biased low with respect to observations, especially at synoptic timescales (<20 days) in the Arctic year‐round and at monthly timescales (30–60 days) in Antarctica in winter. Models show large spread in HFVSIE, especially in Antarctica. This spread is partly explained by sea ice mean‐state while model biases in sea level pressure (SLP) and wind variability do not appear to play a major role in HFVSIE spread. Extreme sea ice extent (SIE) changes are associated with SLP anomaly dipoles aligned with the sea ice edge and winds directed on‐ice (off‐ice) during SIE loss (gain) events. In observations, these events are also associated with distinct ocean wave states during the cold season, when waves are greater (smaller) and travel toward (away from) the sea ice edge during SIE loss (gain) events.
Plain Language Summary
We quantify the variability of sea ice extent (SIE) in both polar regions at weather and sub‐seasonal timescales (3–60 days) in climate models and observations. We find that in general SIE is less variable in models compared to observations, while there is a large spread in variability across Climate Model Intercomparison Project 6 (CMIP6) models. This spread partly results from model spread in the mean state of sea ice, while model spread in wind variability does not appear to play a significant role. We investigate the coupling of atmospheric conditions and ocean wave state with events of rapid SIE gain or loss, and find that these events occur when winds blow perpendicular to the sea ice edge (“off‐ice” for SIE gains, and “on‐ice” for SIE loss). Particularly during winter, we also find distinct wave states: during SIE gain events, waves near the sea ice are smaller, and tend to travel away from the sea ice, while the opposite is true during SIE loss events. In models, the atmospheric patterns that couple with SIE gain or loss events tend to resemble those in observations, but there is also large spread in these patterns across models.
Key Points
High‐frequency variability of sea ice extent (HFVSIE) in models is generally biased low and inter‐model spread is large
In observations, HFVSIE is associated with sea level pressure dipoles, winds perpendicular to sea ice edge, and ocean wave state
Sea ice mean state plays a role in HFVSIE model spread. The lack of waves in models may be a source of bias for HFVSIE</abstract><doi>10.1029/2020GL092356</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-2608-0868</orcidid><orcidid>https://orcid.org/0000-0002-9477-7499</orcidid><orcidid>https://orcid.org/0000-0003-1647-0990</orcidid><orcidid>https://orcid.org/0000-0003-4189-3928</orcidid><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0094-8276 |
| ispartof | Geophysical research letters, 2021-07, Vol.48 (14), p.n/a |
| issn | 0094-8276 1944-8007 |
| language | eng |
| recordid | cdi_crossref_primary_10_1029_2020GL092356 |
| source | Wiley-Blackwell AGU Digital Archive |
| title | High‐Frequency Sea Ice Variability in Observations and Models |
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