Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory

Repeated transects have become the backbone of spatially distributed ice and snow thickness measurements crucial for understanding of ice mass balance. Here we detail the transects at the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) 2019–2020, which represent the f...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Elementa (Washington, D.C.) D.C.), 2023-02, Vol.11 (1)
Hauptverfasser: Itkin, Polona, Hendricks, Stefan, Webster, Melinda, von Albedyll, Luisa, Arndt, Stefanie, Divine, Dmitry, Jaggi, Matthias, Oggier, Marc, Raphael, Ian, Ricker, Robert, Rohde, Jan, Schneebeli, Martin, Liston, Glen E.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page
container_title Elementa (Washington, D.C.)
container_volume 11
creator Itkin, Polona
Hendricks, Stefan
Webster, Melinda
von Albedyll, Luisa
Arndt, Stefanie
Divine, Dmitry
Jaggi, Matthias
Oggier, Marc
Raphael, Ian
Ricker, Robert
Rohde, Jan
Schneebeli, Martin
Liston, Glen E.
description Repeated transects have become the backbone of spatially distributed ice and snow thickness measurements crucial for understanding of ice mass balance. Here we detail the transects at the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) 2019–2020, which represent the first such measurements collected across an entire season. Compared with similar historical transects, the snow at MOSAiC was thin (mean depths of approximately 0.1–0.3 m), while the sea ice was relatively thick first-year ice (FYI) and second-year ice (SYI). SYI was of two distinct types: relatively thin level ice formed from surfaces with extensive melt pond cover, and relatively thick deformed ice. On level SYI, spatial signatures of refrozen melt ponds remained detectable in January. At the beginning of winter the thinnest ice also had the thinnest snow, with winter growth rates of thin ice (0.33 m month−1 for FYI, 0.24 m month−1 for previously ponded SYI) exceeding that of thick ice (0.2 m month−1). By January, FYI already had a greater modal ice thickness (1.1 m) than previously ponded SYI (0.9 m). By February, modal thickness of all SYI and FYI became indistinguishable at about 1.4 m. The largest modal thicknesses were measured in May at 1.7 m. Transects included deformed ice, where largest volumes of snow accumulated by April. The remaining snow on level ice exhibited typical spatial heterogeneity in the form of snow dunes. Spatial correlation length scales for snow and sea ice ranged from 20 to 40 m or 60 to 90 m, depending on the sampling direction, which suggests that the known anisotropy of snow dunes also manifests in spatial patterns in sea ice thickness. The diverse snow and ice thickness data obtained from the MOSAiC transects represent an invaluable resource for model and remote sensing product development.
doi_str_mv 10.1525/elementa.2022.00048
format Article
fullrecord <record><control><sourceid>proquest_crist</sourceid><recordid>TN_cdi_cristin_nora_10037_30187</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2788863168</sourcerecordid><originalsourceid>FETCH-LOGICAL-c346t-3b274d3250e476e7a7b8b5fd4766aa70a48b439cde79cc153a63a68721dcf7f83</originalsourceid><addsrcrecordid>eNpNkE1LAzEQhoMoWLS_wIMBz1vzsbtJj2XxCyo9VE8ewmx21m5pk5qkSv-929aCMDAz8PLw8BJyw9mIF6K4xxWu0SUYCSbEiDGW6zMyEFIUGWeiPP93X5JhjMs-wpkSuRAD8jFHoJ1FCq6h0fkfahcQwCYMXUydjbQNfk13CCFbefdJUwAX0aZIIdG0QPo6m0-6ila9QoAVndURwzckH3bX5KKFVcTh374i748Pb9VzNp09vVSTaWZlXqZM1kLlTa_IMFclKlC1rou26Z8SQDHIdZ3LsW1Qja3lhYSyH60Eb2yrWi2vyO2Raw_OzjgfwHDGpDKSca36xN0xsQn-a4sxmaXfBtdLGaG01qXk5Z4jTxwfY8DWbEK3hrDrWWZftTlVbfZVm0PV8hfdunH-</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2788863168</pqid></control><display><type>article</type><title>Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory</title><source>NORA - Norwegian Open Research Archives</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Itkin, Polona ; Hendricks, Stefan ; Webster, Melinda ; von Albedyll, Luisa ; Arndt, Stefanie ; Divine, Dmitry ; Jaggi, Matthias ; Oggier, Marc ; Raphael, Ian ; Ricker, Robert ; Rohde, Jan ; Schneebeli, Martin ; Liston, Glen E.</creator><creatorcontrib>Itkin, Polona ; Hendricks, Stefan ; Webster, Melinda ; von Albedyll, Luisa ; Arndt, Stefanie ; Divine, Dmitry ; Jaggi, Matthias ; Oggier, Marc ; Raphael, Ian ; Ricker, Robert ; Rohde, Jan ; Schneebeli, Martin ; Liston, Glen E.</creatorcontrib><description>Repeated transects have become the backbone of spatially distributed ice and snow thickness measurements crucial for understanding of ice mass balance. Here we detail the transects at the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) 2019–2020, which represent the first such measurements collected across an entire season. Compared with similar historical transects, the snow at MOSAiC was thin (mean depths of approximately 0.1–0.3 m), while the sea ice was relatively thick first-year ice (FYI) and second-year ice (SYI). SYI was of two distinct types: relatively thin level ice formed from surfaces with extensive melt pond cover, and relatively thick deformed ice. On level SYI, spatial signatures of refrozen melt ponds remained detectable in January. At the beginning of winter the thinnest ice also had the thinnest snow, with winter growth rates of thin ice (0.33 m month−1 for FYI, 0.24 m month−1 for previously ponded SYI) exceeding that of thick ice (0.2 m month−1). By January, FYI already had a greater modal ice thickness (1.1 m) than previously ponded SYI (0.9 m). By February, modal thickness of all SYI and FYI became indistinguishable at about 1.4 m. The largest modal thicknesses were measured in May at 1.7 m. Transects included deformed ice, where largest volumes of snow accumulated by April. The remaining snow on level ice exhibited typical spatial heterogeneity in the form of snow dunes. Spatial correlation length scales for snow and sea ice ranged from 20 to 40 m or 60 to 90 m, depending on the sampling direction, which suggests that the known anisotropy of snow dunes also manifests in spatial patterns in sea ice thickness. The diverse snow and ice thickness data obtained from the MOSAiC transects represent an invaluable resource for model and remote sensing product development.</description><identifier>ISSN: 2325-1026</identifier><identifier>EISSN: 2325-1026</identifier><identifier>DOI: 10.1525/elementa.2022.00048</identifier><language>eng</language><publisher>Oakland: University of California Press, Journals &amp; Digital Publishing Division</publisher><subject>Anisotropy ; Climate change ; Deformation ; Dunes ; Heterogeneity ; Ice ; Ice cover ; Ice formation ; Ice thickness ; Mass balance ; Mosaics ; Observatories ; Ponds ; Product development ; Remote sensing ; Sea ice ; Snow ; Snow accumulation ; Spatial heterogeneity ; Thickness measurement ; Time series ; Trends ; Winter</subject><ispartof>Elementa (Washington, D.C.), 2023-02, Vol.11 (1)</ispartof><rights>2023 The Author(s). This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c346t-3b274d3250e476e7a7b8b5fd4766aa70a48b439cde79cc153a63a68721dcf7f83</citedby><cites>FETCH-LOGICAL-c346t-3b274d3250e476e7a7b8b5fd4766aa70a48b439cde79cc153a63a68721dcf7f83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,26544,27901,27902</link.rule.ids></links><search><creatorcontrib>Itkin, Polona</creatorcontrib><creatorcontrib>Hendricks, Stefan</creatorcontrib><creatorcontrib>Webster, Melinda</creatorcontrib><creatorcontrib>von Albedyll, Luisa</creatorcontrib><creatorcontrib>Arndt, Stefanie</creatorcontrib><creatorcontrib>Divine, Dmitry</creatorcontrib><creatorcontrib>Jaggi, Matthias</creatorcontrib><creatorcontrib>Oggier, Marc</creatorcontrib><creatorcontrib>Raphael, Ian</creatorcontrib><creatorcontrib>Ricker, Robert</creatorcontrib><creatorcontrib>Rohde, Jan</creatorcontrib><creatorcontrib>Schneebeli, Martin</creatorcontrib><creatorcontrib>Liston, Glen E.</creatorcontrib><title>Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory</title><title>Elementa (Washington, D.C.)</title><description>Repeated transects have become the backbone of spatially distributed ice and snow thickness measurements crucial for understanding of ice mass balance. Here we detail the transects at the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) 2019–2020, which represent the first such measurements collected across an entire season. Compared with similar historical transects, the snow at MOSAiC was thin (mean depths of approximately 0.1–0.3 m), while the sea ice was relatively thick first-year ice (FYI) and second-year ice (SYI). SYI was of two distinct types: relatively thin level ice formed from surfaces with extensive melt pond cover, and relatively thick deformed ice. On level SYI, spatial signatures of refrozen melt ponds remained detectable in January. At the beginning of winter the thinnest ice also had the thinnest snow, with winter growth rates of thin ice (0.33 m month−1 for FYI, 0.24 m month−1 for previously ponded SYI) exceeding that of thick ice (0.2 m month−1). By January, FYI already had a greater modal ice thickness (1.1 m) than previously ponded SYI (0.9 m). By February, modal thickness of all SYI and FYI became indistinguishable at about 1.4 m. The largest modal thicknesses were measured in May at 1.7 m. Transects included deformed ice, where largest volumes of snow accumulated by April. The remaining snow on level ice exhibited typical spatial heterogeneity in the form of snow dunes. Spatial correlation length scales for snow and sea ice ranged from 20 to 40 m or 60 to 90 m, depending on the sampling direction, which suggests that the known anisotropy of snow dunes also manifests in spatial patterns in sea ice thickness. The diverse snow and ice thickness data obtained from the MOSAiC transects represent an invaluable resource for model and remote sensing product development.</description><subject>Anisotropy</subject><subject>Climate change</subject><subject>Deformation</subject><subject>Dunes</subject><subject>Heterogeneity</subject><subject>Ice</subject><subject>Ice cover</subject><subject>Ice formation</subject><subject>Ice thickness</subject><subject>Mass balance</subject><subject>Mosaics</subject><subject>Observatories</subject><subject>Ponds</subject><subject>Product development</subject><subject>Remote sensing</subject><subject>Sea ice</subject><subject>Snow</subject><subject>Snow accumulation</subject><subject>Spatial heterogeneity</subject><subject>Thickness measurement</subject><subject>Time series</subject><subject>Trends</subject><subject>Winter</subject><issn>2325-1026</issn><issn>2325-1026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>3HK</sourceid><recordid>eNpNkE1LAzEQhoMoWLS_wIMBz1vzsbtJj2XxCyo9VE8ewmx21m5pk5qkSv-929aCMDAz8PLw8BJyw9mIF6K4xxWu0SUYCSbEiDGW6zMyEFIUGWeiPP93X5JhjMs-wpkSuRAD8jFHoJ1FCq6h0fkfahcQwCYMXUydjbQNfk13CCFbefdJUwAX0aZIIdG0QPo6m0-6ila9QoAVndURwzckH3bX5KKFVcTh374i748Pb9VzNp09vVSTaWZlXqZM1kLlTa_IMFclKlC1rou26Z8SQDHIdZ3LsW1Qja3lhYSyH60Eb2yrWi2vyO2Raw_OzjgfwHDGpDKSca36xN0xsQn-a4sxmaXfBtdLGaG01qXk5Z4jTxwfY8DWbEK3hrDrWWZftTlVbfZVm0PV8hfdunH-</recordid><startdate>20230216</startdate><enddate>20230216</enddate><creator>Itkin, Polona</creator><creator>Hendricks, Stefan</creator><creator>Webster, Melinda</creator><creator>von Albedyll, Luisa</creator><creator>Arndt, Stefanie</creator><creator>Divine, Dmitry</creator><creator>Jaggi, Matthias</creator><creator>Oggier, Marc</creator><creator>Raphael, Ian</creator><creator>Ricker, Robert</creator><creator>Rohde, Jan</creator><creator>Schneebeli, Martin</creator><creator>Liston, Glen E.</creator><general>University of California Press, Journals &amp; Digital Publishing Division</general><general>University of California Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>3HK</scope></search><sort><creationdate>20230216</creationdate><title>Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory</title><author>Itkin, Polona ; Hendricks, Stefan ; Webster, Melinda ; von Albedyll, Luisa ; Arndt, Stefanie ; Divine, Dmitry ; Jaggi, Matthias ; Oggier, Marc ; Raphael, Ian ; Ricker, Robert ; Rohde, Jan ; Schneebeli, Martin ; Liston, Glen E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-3b274d3250e476e7a7b8b5fd4766aa70a48b439cde79cc153a63a68721dcf7f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Anisotropy</topic><topic>Climate change</topic><topic>Deformation</topic><topic>Dunes</topic><topic>Heterogeneity</topic><topic>Ice</topic><topic>Ice cover</topic><topic>Ice formation</topic><topic>Ice thickness</topic><topic>Mass balance</topic><topic>Mosaics</topic><topic>Observatories</topic><topic>Ponds</topic><topic>Product development</topic><topic>Remote sensing</topic><topic>Sea ice</topic><topic>Snow</topic><topic>Snow accumulation</topic><topic>Spatial heterogeneity</topic><topic>Thickness measurement</topic><topic>Time series</topic><topic>Trends</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Itkin, Polona</creatorcontrib><creatorcontrib>Hendricks, Stefan</creatorcontrib><creatorcontrib>Webster, Melinda</creatorcontrib><creatorcontrib>von Albedyll, Luisa</creatorcontrib><creatorcontrib>Arndt, Stefanie</creatorcontrib><creatorcontrib>Divine, Dmitry</creatorcontrib><creatorcontrib>Jaggi, Matthias</creatorcontrib><creatorcontrib>Oggier, Marc</creatorcontrib><creatorcontrib>Raphael, Ian</creatorcontrib><creatorcontrib>Ricker, Robert</creatorcontrib><creatorcontrib>Rohde, Jan</creatorcontrib><creatorcontrib>Schneebeli, Martin</creatorcontrib><creatorcontrib>Liston, Glen E.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>NORA - Norwegian Open Research Archives</collection><jtitle>Elementa (Washington, D.C.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Itkin, Polona</au><au>Hendricks, Stefan</au><au>Webster, Melinda</au><au>von Albedyll, Luisa</au><au>Arndt, Stefanie</au><au>Divine, Dmitry</au><au>Jaggi, Matthias</au><au>Oggier, Marc</au><au>Raphael, Ian</au><au>Ricker, Robert</au><au>Rohde, Jan</au><au>Schneebeli, Martin</au><au>Liston, Glen E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory</atitle><jtitle>Elementa (Washington, D.C.)</jtitle><date>2023-02-16</date><risdate>2023</risdate><volume>11</volume><issue>1</issue><issn>2325-1026</issn><eissn>2325-1026</eissn><abstract>Repeated transects have become the backbone of spatially distributed ice and snow thickness measurements crucial for understanding of ice mass balance. Here we detail the transects at the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) 2019–2020, which represent the first such measurements collected across an entire season. Compared with similar historical transects, the snow at MOSAiC was thin (mean depths of approximately 0.1–0.3 m), while the sea ice was relatively thick first-year ice (FYI) and second-year ice (SYI). SYI was of two distinct types: relatively thin level ice formed from surfaces with extensive melt pond cover, and relatively thick deformed ice. On level SYI, spatial signatures of refrozen melt ponds remained detectable in January. At the beginning of winter the thinnest ice also had the thinnest snow, with winter growth rates of thin ice (0.33 m month−1 for FYI, 0.24 m month−1 for previously ponded SYI) exceeding that of thick ice (0.2 m month−1). By January, FYI already had a greater modal ice thickness (1.1 m) than previously ponded SYI (0.9 m). By February, modal thickness of all SYI and FYI became indistinguishable at about 1.4 m. The largest modal thicknesses were measured in May at 1.7 m. Transects included deformed ice, where largest volumes of snow accumulated by April. The remaining snow on level ice exhibited typical spatial heterogeneity in the form of snow dunes. Spatial correlation length scales for snow and sea ice ranged from 20 to 40 m or 60 to 90 m, depending on the sampling direction, which suggests that the known anisotropy of snow dunes also manifests in spatial patterns in sea ice thickness. The diverse snow and ice thickness data obtained from the MOSAiC transects represent an invaluable resource for model and remote sensing product development.</abstract><cop>Oakland</cop><pub>University of California Press, Journals &amp; Digital Publishing Division</pub><doi>10.1525/elementa.2022.00048</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2325-1026
ispartof Elementa (Washington, D.C.), 2023-02, Vol.11 (1)
issn 2325-1026
2325-1026
language eng
recordid cdi_cristin_nora_10037_30187
source NORA - Norwegian Open Research Archives; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Anisotropy
Climate change
Deformation
Dunes
Heterogeneity
Ice
Ice cover
Ice formation
Ice thickness
Mass balance
Mosaics
Observatories
Ponds
Product development
Remote sensing
Sea ice
Snow
Snow accumulation
Spatial heterogeneity
Thickness measurement
Time series
Trends
Winter
title Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T04%3A43%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_crist&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sea%20ice%20and%20snow%20characteristics%20from%20year-long%20transects%20at%20the%20MOSAiC%20Central%20Observatory&rft.jtitle=Elementa%20(Washington,%20D.C.)&rft.au=Itkin,%20Polona&rft.date=2023-02-16&rft.volume=11&rft.issue=1&rft.issn=2325-1026&rft.eissn=2325-1026&rft_id=info:doi/10.1525/elementa.2022.00048&rft_dat=%3Cproquest_crist%3E2788863168%3C/proquest_crist%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2788863168&rft_id=info:pmid/&rfr_iscdi=true