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Spatiotemporal variation in summer net community production in the Amundsen Sea Polynya: A self-organizing map analysis approach

Cited 2 time in wos
Cited 3 time in scopus

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dc.contributor.authorPark, Keyhong-
dc.contributor.authorHahm, Doshik-
dc.contributor.authorChoi, Jungok-
dc.contributor.authorXu, Suqing-
dc.contributor.authorKim, Hyun-cheol-
dc.contributor.authorLee, Sang H.-
dc.date.accessioned2020-10-20T08:17:47Z-
dc.date.available2020-10-20T08:17:47Z-
dc.date.issued2019-08-
dc.identifier.urihttps://repository.kopri.re.kr/handle/201206/10934-
dc.description.abstractWe estimated weekly summer net community production (NCP) in the Amundsen Sea Polynya for 2010-2011 and 2011-2012 using the self-organizing map analysis technique, which is a type of artificial neural network useful for discovering underlying structure in datasets. The net community production estimates derived with four variables (sea surface temperature, mixed layer depth, chlorophyll-a, and photosynthetically available radiation) robustly reproduced the observed net community production in the Amundsen Sea Polynya. The mean net community productions were estimated as 0.42 +/- 0.09 and 0.39 +/- 0.07 gC m(-2) d(-1) in 2010-2011 and 2011-2012, respectively. The maximum weekly net community production of 1.29 gC m(-2) d(-1) in 2011-2012 was greater than in 2010-2011 by 0.32 gC m(-2) d(-1). The net community production in 2010-2011, derived using the self-organizing map, showed weekly variation similar to the trend of satellite-derived production of the Eppley-Vertically Generalized Production Model. However, in 2011-2012, it exhibited different temporal variation both in peak timing and in magnitude of the bloom. This implies the existence of complex processes not readily resolved by the four variables used in our self-organizing map analysis. Therefore, further observations during different blooming stages are required to improve self-organizing map-derived net community production estimates.en_US
dc.languageEnglishen_US
dc.language.isoenen_US
dc.subjectOceanographyen_US
dc.subject.classificationAraonen_US
dc.titleSpatiotemporal variation in summer net community production in the Amundsen Sea Polynya: A self-organizing map analysis approachen_US
dc.title.alternative인공지능을 이용한 아문젠해의 순군집생산력 추정en_US
dc.typeArticleen_US
dc.identifier.bibliographicCitationPark, Keyhong, et al. 2019. "Spatiotemporal variation in summer net community production in the Amundsen Sea Polynya: A self-organizing map analysis approach". <em>CONTINENTAL SHELF RESEARCH</em>, 184(1): 21-29.-
dc.citation.titleCONTINENTAL SHELF RESEARCHen_US
dc.citation.volume184en_US
dc.citation.number1en_US
dc.identifier.doi10.1016/j.csr.2019.07.001-
dc.citation.startPage21en_US
dc.citation.endPage29en_US
dc.description.articleClassificationSCI-
dc.description.jcrRateJCR 2017:39.063en_US
dc.subject.keywordAmundsen Sea Polynyaen_US
dc.subject.keywordBiological pumpen_US
dc.subject.keywordNet community productionen_US
dc.subject.keywordPrimary productionen_US
dc.subject.keywordSelf-organizing mapen_US
dc.subject.keywordSouthern Oceanen_US
dc.identifier.localId2019-0147-
dc.identifier.scopusid2-s2.0-85068803557-
dc.identifier.wosid000480377200003-
Appears in Collections  
2019-2019, Research on analytical technique for satellite observation of Arctic sea ice (19-19) / Kim, Hyun-cheol (PE19120)
2019-2019, Ocean-to-Ice Interactions in Amundsen Sea: Ice shelf melting and its impact on ocean processes (19-19) / Kim, Tae-Wan (PE19060)
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