Verification of Kara Sea primary production models with field and satellite observations
The depth-integrated model (Ψ-Mod) and depth-resolved Kara Sea model (KDRSM) of primary production in the water column were verified using field (2013–2015) and satellite (MODIS-Aqua scanner, 2007, 2011, 2013–2015) observations. The KSDRM and Ψ-Mod over- or underestimate the values of integrated pri...
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| Veröffentlicht in: | Oceanology (Washington. 1965) 2016-11, Vol.56 (6), p.799-808 |
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| container_title | Oceanology (Washington. 1965) |
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| creator | Demidov, A. B. Sheberstov, S. V. Vazyulya, S. V. Artemiev, V. A. Mosharov, S. A. Khrapko, A. N. |
| description | The depth-integrated model (Ψ-Mod) and depth-resolved Kara Sea model (KDRSM) of primary production in the water column were verified using field (2013–2015) and satellite (MODIS-Aqua scanner, 2007, 2011, 2013–2015) observations. The KSDRM and Ψ-Mod over- or underestimate the values of integrated primary production (IPP) in autumn by a factor of 2 and 2.5 with shipboard data as input parameters; the rootmean-square difference (RMSD) was 0.29 and 0.39, respectively. In summer, the efficiency of Ψ-Mod decreased by a factor of 1.5 (RMSD = 0.57), while the predictive capacity of the KSDRM remained the same (RMSD = 0.31). In the Laptev Sea in autumn, the KSDRM performed better than Ψ-Mod (the RMSD was 0.24 and 0.41, respectively). There was no sufficient decrease in the predictive skill of either algorithm when MODIS-Aqua data were used as input parameters. Thus, Ψ-Mod, being a simple and precise algorithm, can be recommended for evaluating the annual IPP in the Kara Sea and for studying its long-term variability using satellite data. |
| doi_str_mv | 10.1134/S0001437016060011 |
| format | Article |
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B. ; Sheberstov, S. V. ; Vazyulya, S. V. ; Artemiev, V. A. ; Mosharov, S. A. ; Khrapko, A. N.</creator><creatorcontrib>Demidov, A. B. ; Sheberstov, S. V. ; Vazyulya, S. V. ; Artemiev, V. A. ; Mosharov, S. A. ; Khrapko, A. N.</creatorcontrib><description>The depth-integrated model (Ψ-Mod) and depth-resolved Kara Sea model (KDRSM) of primary production in the water column were verified using field (2013–2015) and satellite (MODIS-Aqua scanner, 2007, 2011, 2013–2015) observations. The KSDRM and Ψ-Mod over- or underestimate the values of integrated primary production (IPP) in autumn by a factor of 2 and 2.5 with shipboard data as input parameters; the rootmean-square difference (RMSD) was 0.29 and 0.39, respectively. In summer, the efficiency of Ψ-Mod decreased by a factor of 1.5 (RMSD = 0.57), while the predictive capacity of the KSDRM remained the same (RMSD = 0.31). In the Laptev Sea in autumn, the KSDRM performed better than Ψ-Mod (the RMSD was 0.24 and 0.41, respectively). There was no sufficient decrease in the predictive skill of either algorithm when MODIS-Aqua data were used as input parameters. Thus, Ψ-Mod, being a simple and precise algorithm, can be recommended for evaluating the annual IPP in the Kara Sea and for studying its long-term variability using satellite data.</description><identifier>ISSN: 0001-4370</identifier><identifier>EISSN: 1531-8508</identifier><identifier>DOI: 10.1134/S0001437016060011</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Algorithms ; Autumn ; Biogeochemistry ; Earth and Environmental Science ; Earth Sciences ; Marine ; Marine Biology ; Mathematical models ; Oceanography ; Primary production ; Water column ; Water depth</subject><ispartof>Oceanology (Washington. 1965), 2016-11, Vol.56 (6), p.799-808</ispartof><rights>Pleiades Publishing, Inc. 2016</rights><rights>Oceanology is a copyright of Springer, 2016.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-e1557ab2d45ce22e9e104591a2aa8d2a0ed62e67fa854503153bd98b6791f4363</citedby><cites>FETCH-LOGICAL-c349t-e1557ab2d45ce22e9e104591a2aa8d2a0ed62e67fa854503153bd98b6791f4363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1134/S0001437016060011$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1134/S0001437016060011$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Demidov, A. 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In summer, the efficiency of Ψ-Mod decreased by a factor of 1.5 (RMSD = 0.57), while the predictive capacity of the KSDRM remained the same (RMSD = 0.31). In the Laptev Sea in autumn, the KSDRM performed better than Ψ-Mod (the RMSD was 0.24 and 0.41, respectively). There was no sufficient decrease in the predictive skill of either algorithm when MODIS-Aqua data were used as input parameters. Thus, Ψ-Mod, being a simple and precise algorithm, can be recommended for evaluating the annual IPP in the Kara Sea and for studying its long-term variability using satellite data.</description><subject>Algorithms</subject><subject>Autumn</subject><subject>Biogeochemistry</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Marine</subject><subject>Marine Biology</subject><subject>Mathematical models</subject><subject>Oceanography</subject><subject>Primary production</subject><subject>Water column</subject><subject>Water depth</subject><issn>0001-4370</issn><issn>1531-8508</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kEtLxDAUhYMoOI7-AHcBN26quXm2Sxl84YCLUXFX0uZWM3RaTTqK_97MYyGKq3vhfOdwOIQcAzsDEPJ8xhgDKQwDzXR6YYeMQAnIcsXyXTJaydlK3ycHMc4ZEyCLfESenzD4xtd28H1H-4be2WDpDC19C35hw1e6vVvWa3nRO2wj_fTDK208to7aztFoB2xbPyDtq4jhYx0VD8leY9uIR9s7Jo9Xlw-Tm2x6f307uZhmtZDFkCEoZWzFnVQ1co4FApOqAMutzR23DJ3mqE1jcyVVaq1E5Yq80qaARgotxuR0k5t6vi8xDuXCxzoVsh32y1hCrnMBxjCe0JNf6Lxfhi61S5TSHIwQJlGwoerQxxiwKbdLlMDK1dbln62Th288MbHdC4Yfyf-avgHjZX9x</recordid><startdate>20161101</startdate><enddate>20161101</enddate><creator>Demidov, A. 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B.</au><au>Sheberstov, S. V.</au><au>Vazyulya, S. V.</au><au>Artemiev, V. A.</au><au>Mosharov, S. A.</au><au>Khrapko, A. N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Verification of Kara Sea primary production models with field and satellite observations</atitle><jtitle>Oceanology (Washington. 1965)</jtitle><stitle>Oceanology</stitle><date>2016-11-01</date><risdate>2016</risdate><volume>56</volume><issue>6</issue><spage>799</spage><epage>808</epage><pages>799-808</pages><issn>0001-4370</issn><eissn>1531-8508</eissn><abstract>The depth-integrated model (Ψ-Mod) and depth-resolved Kara Sea model (KDRSM) of primary production in the water column were verified using field (2013–2015) and satellite (MODIS-Aqua scanner, 2007, 2011, 2013–2015) observations. The KSDRM and Ψ-Mod over- or underestimate the values of integrated primary production (IPP) in autumn by a factor of 2 and 2.5 with shipboard data as input parameters; the rootmean-square difference (RMSD) was 0.29 and 0.39, respectively. In summer, the efficiency of Ψ-Mod decreased by a factor of 1.5 (RMSD = 0.57), while the predictive capacity of the KSDRM remained the same (RMSD = 0.31). In the Laptev Sea in autumn, the KSDRM performed better than Ψ-Mod (the RMSD was 0.24 and 0.41, respectively). There was no sufficient decrease in the predictive skill of either algorithm when MODIS-Aqua data were used as input parameters. Thus, Ψ-Mod, being a simple and precise algorithm, can be recommended for evaluating the annual IPP in the Kara Sea and for studying its long-term variability using satellite data.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.1134/S0001437016060011</doi><tpages>10</tpages></addata></record> |
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| subjects | Algorithms Autumn Biogeochemistry Earth and Environmental Science Earth Sciences Marine Marine Biology Mathematical models Oceanography Primary production Water column Water depth |
| title | Verification of Kara Sea primary production models with field and satellite observations |
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