Seasonal evolution of melt ponds on Arctic sea ice
The seasonal evolution of melt ponds has been well documented on multiyear and landfast first‐year sea ice, but is critically lacking on drifting, first‐year sea ice, which is becoming increasingly prevalent in the Arctic. Using 1 m resolution panchromatic satellite imagery paired with airborne and...
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Veröffentlicht in: | Journal of geophysical research. Oceans 2015-09, Vol.120 (9), p.5968-5982 |
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creator | Webster, Melinda A. Rigor, Ignatius G. Perovich, Donald K. Richter-Menge, Jacqueline A. Polashenski, Christopher M. Light, Bonnie |
description | The seasonal evolution of melt ponds has been well documented on multiyear and landfast first‐year sea ice, but is critically lacking on drifting, first‐year sea ice, which is becoming increasingly prevalent in the Arctic. Using 1 m resolution panchromatic satellite imagery paired with airborne and in situ data, we evaluated melt pond evolution for an entire melt season on drifting first‐year and multiyear sea ice near the 2011 Applied Physics Laboratory Ice Station (APLIS) site in the Beaufort and Chukchi seas. A new algorithm was developed to classify the imagery into sea ice, thin ice, melt pond, and open water classes on two contrasting ice types: first‐year and multiyear sea ice. Surprisingly, melt ponds formed ∼3 weeks earlier on multiyear ice. Both ice types had comparable mean snow depths, but multiyear ice had 0–5 cm deep snow covering ∼37% of its surveyed area, which may have facilitated earlier melt due to its low surface albedo compared to thicker snow. Maximum pond fractions were 53 ± 3% and 38 ± 3% on first‐year and multiyear ice, respectively. APLIS pond fractions were compared with those from the Surface Heat Budget of the Arctic Ocean (SHEBA) field campaign. APLIS exhibited earlier melt and double the maximum pond fraction, which was in part due to the greater presence of thin snow and first‐year ice at APLIS. These results reveal considerable differences in pond formation between ice types, and underscore the importance of snow depth distributions in the timing and progression of melt pond formation.
Key Points:
An algorithm was created to study melt pond evolution on drifting Arctic sea ice
Snow distribution and ice topography affect the onset and pace of melt pond formation |
doi_str_mv | 10.1002/2015JC011030 |
format | Article |
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Key Points:
An algorithm was created to study melt pond evolution on drifting Arctic sea ice
Snow distribution and ice topography affect the onset and pace of melt pond formation</description><identifier>ISSN: 2169-9275</identifier><identifier>EISSN: 2169-9291</identifier><identifier>DOI: 10.1002/2015JC011030</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Albedo ; Algorithms ; Arctic regions ; Drift ; Evolution ; Geophysics ; Heat budget ; Ice ; Marine ; melt ponds ; Melts ; Oceans ; Ponds ; Sea ice ; Snow ; Snow depth ; Snowmelt ; Topography</subject><ispartof>Journal of geophysical research. Oceans, 2015-09, Vol.120 (9), p.5968-5982</ispartof><rights>2015. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a4727-1d2bc12991948a65673b54f9c7bf971e1d4f86bc02ae12db6fdb4e692d455d4b3</citedby><cites>FETCH-LOGICAL-a4727-1d2bc12991948a65673b54f9c7bf971e1d4f86bc02ae12db6fdb4e692d455d4b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2F2015JC011030$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2F2015JC011030$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,1433,27924,27925,45574,45575,46409,46833</link.rule.ids></links><search><creatorcontrib>Webster, Melinda A.</creatorcontrib><creatorcontrib>Rigor, Ignatius G.</creatorcontrib><creatorcontrib>Perovich, Donald K.</creatorcontrib><creatorcontrib>Richter-Menge, Jacqueline A.</creatorcontrib><creatorcontrib>Polashenski, Christopher M.</creatorcontrib><creatorcontrib>Light, Bonnie</creatorcontrib><title>Seasonal evolution of melt ponds on Arctic sea ice</title><title>Journal of geophysical research. Oceans</title><addtitle>J. Geophys. Res. Oceans</addtitle><description>The seasonal evolution of melt ponds has been well documented on multiyear and landfast first‐year sea ice, but is critically lacking on drifting, first‐year sea ice, which is becoming increasingly prevalent in the Arctic. Using 1 m resolution panchromatic satellite imagery paired with airborne and in situ data, we evaluated melt pond evolution for an entire melt season on drifting first‐year and multiyear sea ice near the 2011 Applied Physics Laboratory Ice Station (APLIS) site in the Beaufort and Chukchi seas. A new algorithm was developed to classify the imagery into sea ice, thin ice, melt pond, and open water classes on two contrasting ice types: first‐year and multiyear sea ice. Surprisingly, melt ponds formed ∼3 weeks earlier on multiyear ice. Both ice types had comparable mean snow depths, but multiyear ice had 0–5 cm deep snow covering ∼37% of its surveyed area, which may have facilitated earlier melt due to its low surface albedo compared to thicker snow. Maximum pond fractions were 53 ± 3% and 38 ± 3% on first‐year and multiyear ice, respectively. APLIS pond fractions were compared with those from the Surface Heat Budget of the Arctic Ocean (SHEBA) field campaign. APLIS exhibited earlier melt and double the maximum pond fraction, which was in part due to the greater presence of thin snow and first‐year ice at APLIS. These results reveal considerable differences in pond formation between ice types, and underscore the importance of snow depth distributions in the timing and progression of melt pond formation.
Key Points:
An algorithm was created to study melt pond evolution on drifting Arctic sea ice
Snow distribution and ice topography affect the onset and pace of melt pond formation</description><subject>Albedo</subject><subject>Algorithms</subject><subject>Arctic regions</subject><subject>Drift</subject><subject>Evolution</subject><subject>Geophysics</subject><subject>Heat budget</subject><subject>Ice</subject><subject>Marine</subject><subject>melt ponds</subject><subject>Melts</subject><subject>Oceans</subject><subject>Ponds</subject><subject>Sea ice</subject><subject>Snow</subject><subject>Snow depth</subject><subject>Snowmelt</subject><subject>Topography</subject><issn>2169-9275</issn><issn>2169-9291</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqNkE1Lw0AQhhdRsNTe_AEBLx6M7uxHNntsi1Zr0eIHgpdls9lAapqt2UTtvzc1UsSDOJcZZp73ZXgROgR8ChiTM4KBT8cYAFO8g3oEIhlKImF3Owu-jwbeL3BbMcSMyR4i91Z7V-oisG-uaOrclYHLgqUt6mDlytQH7WJYmTo3gbc6yI09QHuZLrwdfPc-erw4fxhfhrPbydV4OAs1E0SEkJLEAJESJIt1xCNBE84yaUSSSQEWUpbFUWIw0RZImkRZmjAbSZIyzlOW0D467nxXlXttrK_VMvfGFoUurWu8AiEwJRGV_B8oEZEgHGiLHv1CF66p2gC-KNY-K_jG8KSjTOW8r2ymVlW-1NVaAVabuNXPuFucdvh7Xtj1n6yaTu7GBGgbRx-FnSr3tf3YqnT1otqr4OrpZqKuxTOez8VIjegnopOMGA</recordid><startdate>201509</startdate><enddate>201509</enddate><creator>Webster, Melinda A.</creator><creator>Rigor, Ignatius G.</creator><creator>Perovich, Donald K.</creator><creator>Richter-Menge, Jacqueline A.</creator><creator>Polashenski, Christopher M.</creator><creator>Light, Bonnie</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>201509</creationdate><title>Seasonal evolution of melt ponds on Arctic sea ice</title><author>Webster, Melinda A. ; Rigor, Ignatius G. ; Perovich, Donald K. ; Richter-Menge, Jacqueline A. ; Polashenski, Christopher M. ; Light, Bonnie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a4727-1d2bc12991948a65673b54f9c7bf971e1d4f86bc02ae12db6fdb4e692d455d4b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Albedo</topic><topic>Algorithms</topic><topic>Arctic regions</topic><topic>Drift</topic><topic>Evolution</topic><topic>Geophysics</topic><topic>Heat budget</topic><topic>Ice</topic><topic>Marine</topic><topic>melt ponds</topic><topic>Melts</topic><topic>Oceans</topic><topic>Ponds</topic><topic>Sea ice</topic><topic>Snow</topic><topic>Snow depth</topic><topic>Snowmelt</topic><topic>Topography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Webster, Melinda A.</creatorcontrib><creatorcontrib>Rigor, Ignatius G.</creatorcontrib><creatorcontrib>Perovich, Donald K.</creatorcontrib><creatorcontrib>Richter-Menge, Jacqueline A.</creatorcontrib><creatorcontrib>Polashenski, Christopher M.</creatorcontrib><creatorcontrib>Light, Bonnie</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of geophysical research. Oceans</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Webster, Melinda A.</au><au>Rigor, Ignatius G.</au><au>Perovich, Donald K.</au><au>Richter-Menge, Jacqueline A.</au><au>Polashenski, Christopher M.</au><au>Light, Bonnie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Seasonal evolution of melt ponds on Arctic sea ice</atitle><jtitle>Journal of geophysical research. Oceans</jtitle><addtitle>J. Geophys. Res. Oceans</addtitle><date>2015-09</date><risdate>2015</risdate><volume>120</volume><issue>9</issue><spage>5968</spage><epage>5982</epage><pages>5968-5982</pages><issn>2169-9275</issn><eissn>2169-9291</eissn><abstract>The seasonal evolution of melt ponds has been well documented on multiyear and landfast first‐year sea ice, but is critically lacking on drifting, first‐year sea ice, which is becoming increasingly prevalent in the Arctic. Using 1 m resolution panchromatic satellite imagery paired with airborne and in situ data, we evaluated melt pond evolution for an entire melt season on drifting first‐year and multiyear sea ice near the 2011 Applied Physics Laboratory Ice Station (APLIS) site in the Beaufort and Chukchi seas. A new algorithm was developed to classify the imagery into sea ice, thin ice, melt pond, and open water classes on two contrasting ice types: first‐year and multiyear sea ice. Surprisingly, melt ponds formed ∼3 weeks earlier on multiyear ice. Both ice types had comparable mean snow depths, but multiyear ice had 0–5 cm deep snow covering ∼37% of its surveyed area, which may have facilitated earlier melt due to its low surface albedo compared to thicker snow. Maximum pond fractions were 53 ± 3% and 38 ± 3% on first‐year and multiyear ice, respectively. APLIS pond fractions were compared with those from the Surface Heat Budget of the Arctic Ocean (SHEBA) field campaign. APLIS exhibited earlier melt and double the maximum pond fraction, which was in part due to the greater presence of thin snow and first‐year ice at APLIS. These results reveal considerable differences in pond formation between ice types, and underscore the importance of snow depth distributions in the timing and progression of melt pond formation.
Key Points:
An algorithm was created to study melt pond evolution on drifting Arctic sea ice
Snow distribution and ice topography affect the onset and pace of melt pond formation</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/2015JC011030</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Albedo Algorithms Arctic regions Drift Evolution Geophysics Heat budget Ice Marine melt ponds Melts Oceans Ponds Sea ice Snow Snow depth Snowmelt Topography |
title | Seasonal evolution of melt ponds on Arctic sea ice |
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