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A marine carbon monoxide (CO) model with a new parameterization of microbial oxidation

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Cited 1 time in scopus

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dc.contributor.authorKwon, Young Shin-
dc.contributor.authorKang, Hyoun-Woo-
dc.contributor.authorPolimene, Luca-
dc.contributor.authorRhee, Tae Siek-
dc.date.accessioned2021-05-10T01:36:49Z-
dc.date.available2021-05-10T01:36:49Z-
dc.date.issued2020-09-
dc.identifier.urihttps://repository.kopri.re.kr/handle/201206/11884-
dc.description.abstractTraditionally, marine carbon monoxide (CO) models assume that the microbial oxidation of CO is only dependent on the concentration of CO in the water column. However, CO oxidation rates in the ocean have been reported to vary up to two orders of magnitude both spatially and temporally. Here, we developed a new model assuming that CO microbial oxidation is dependent on bacterial carbon biomass other than CO concentration. In addition to microbial oxidation, the model also describes CO photochemical production, vertical mixing, and air-sea gas exchange. The new CO model has been embedded in the European Regional Seas Ecosystem Model (ERSEM) and coupled with the General Ocean Turbulence Model (GOTM). The CO-GOTM-ERSEM model was implemented at the Bermuda Atlantic Time Series (BATS) station to simulate CO concentrations observed in March 1993 by Kettle (1994). The proposed second-order function describing CO microbial oxidation introduces a new parameter, the bacteria biomass specific oxidation rate, which was estimated to be 5.7 +/- 0.2 (mu g C m(-3))(-1) h(-1). Statistical metrics indicates that the new CO model performs better than a previously published model with a first-order decay function to describe microbial oxidation, acknowledging the dependence of microbial oxidation on bacterial abundance is realistic. A long-term (1992-1994) simulation carried out with CO-GOTM-ERSEM reproduced the spatial and seasonal variability of CO reported in the literature. Our model provides a realistic description of the CO dynamics and is potentially usable in different environmental contexts worldwide.en_US
dc.languageEnglishen_US
dc.language.isoen_USen_US
dc.subjectEnvironmental Sciences & Ecologyen_US
dc.subject.classification기타()en_US
dc.titleA marine carbon monoxide (CO) model with a new parameterization of microbial oxidationen_US
dc.title.alternative미생물 산화에 대한 새로운 매개변수화 제안을 위한 일산화탄소 모델링 연구en_US
dc.typeArticleen_US
dc.identifier.bibliographicCitationKwon, Young Shin, et al. 2020. "A marine carbon monoxide (CO) model with a new parameterization of microbial oxidation". <em>ECOLOGICAL MODELLING</em>, 432(1): 109203-109212.-
dc.citation.titleECOLOGICAL MODELLINGen_US
dc.citation.volume432en_US
dc.citation.number1en_US
dc.identifier.doi10.1016/j.ecolmodel.2020.109203-
dc.citation.startPage109203en_US
dc.citation.endPage109212en_US
dc.description.articleClassificationSCI-
dc.description.jcrRateJCR 2018:38.182en_US
dc.subject.keywordMarine carbon monoxideen_US
dc.subject.keywordMicrobial oxidationen_US
dc.subject.keywordMarine ecosystemen_US
dc.subject.keywordModellingen_US
dc.subject.keywordSecond-order kineticsen_US
dc.identifier.localId2020-0109-
dc.identifier.scopusid2-s2.0-85088641330-
dc.identifier.wosid000558027100002-
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