Näytä suppeat kuvailutiedot

dc.contributor.authorKiuru, Petri
dc.contributor.authorOjala, Anne
dc.contributor.authorMammarella, Ivan
dc.contributor.authorHeiskanen, Jouni
dc.contributor.authorErkkilä, Kukka-Maaria
dc.contributor.authorMiettinen, Heli
dc.contributor.authorVesala, Timo
dc.contributor.authorHuttula, Timo
dc.date.accessioned2019-09-23T07:07:53Z
dc.date.available2019-09-23T07:07:53Z
dc.date.issued2019
dc.identifier.citationKiuru, P., Ojala, A., Mammarella, I., Heiskanen, J., Erkkilä, K.-M., Miettinen, H., Vesala, T., & Huttula, T. (2019). Applicability and consequences of the integration of alternative models for CO2 transfer velocity into a process-based lake model. <i>Biogeosciences</i>, <i>16</i>(17), 3297-3317. <a href="https://doi.org/10.5194/bg-16-3297-2019" target="_blank">https://doi.org/10.5194/bg-16-3297-2019</a>
dc.identifier.otherCONVID_32940625
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/65593
dc.description.abstractFreshwater lakes are important in carbon cycling, especially in the boreal zone where many lakes are supersaturated with the greenhouse gas carbon dioxide (CO2) and emit it to the atmosphere, thus ventilating carbon originally fixed by the terrestrial system. The exchange of CO2 between water and the atmosphere is commonly estimated using simple wind-based parameterizations or models of gas transfer velocity (k). More complex surface renewal models, however, have been shown to yield more correct estimates of k in comparison with direct CO2 flux measurements. We incorporated four gas exchange models with different complexity into a vertical process-based physico-biochemical lake model, MyLake C, and assessed the performance and applicability of the alternative lake model versions to simulate air–water CO2 fluxes over a small boreal lake. None of the incorporated gas exchange models significantly outperformed the other models in the simulations in comparison to the measured near-surface CO2 concentrations or respective air–water CO2 fluxes calculated directly with the gas exchange models using measurement data as input. The use of more complex gas exchange models in the simulation, on the contrary, led to difficulties in obtaining a sufficient gain of CO2 in the water column and thus resulted in lower CO2 fluxes and water column CO2 concentrations compared to the respective measurement-based values. The inclusion of sophisticated and more correct models for air–water CO2 exchange in process-based lake models is crucial in efforts to properly assess lacustrine carbon budgets through model simulations in both single lakes and on a larger scale. However, finding higher estimates for both the internal and external sources of inorganic carbon in boreal lakes is important if improved knowledge of the magnitude of CO2 evasion from lakes is included in future studies on lake carbon budgets.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherCopernicus Publications
dc.relation.ispartofseriesBiogeosciences
dc.rightsCC BY 4.0
dc.titleApplicability and consequences of the integration of alternative models for CO2 transfer velocity into a process-based lake model
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201909234232
dc.contributor.laitosFysiikan laitosfi
dc.contributor.laitosDepartment of Physicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange3297-3317
dc.relation.issn1726-4170
dc.relation.numberinseries17
dc.relation.volume16
dc.type.versionpublishedVersion
dc.rights.copyright© The Authors, 2019
dc.rights.accesslevelopenAccessfi
dc.subject.ysohiilidioksidi
dc.subject.ysohiilitase
dc.subject.ysoboreaalinen vyöhyke
dc.subject.ysojärvet
dc.subject.ysosimulointi
dc.subject.ysohiilen kierto
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p4728
jyx.subject.urihttp://www.yso.fi/onto/yso/p16177
jyx.subject.urihttp://www.yso.fi/onto/yso/p16692
jyx.subject.urihttp://www.yso.fi/onto/yso/p9374
jyx.subject.urihttp://www.yso.fi/onto/yso/p4787
jyx.subject.urihttp://www.yso.fi/onto/yso/p28986
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.5194/bg-16-3297-2019
jyx.fundinginformationThis research has been supported by the Academy of Finland (grant nos. 272041, 118780, 1284701, 1282842, and 281255), the European Commission (Horizon 2020 (grant no. 730944)), the Koneen Säätiö, and the Maa- ja vesitekniikan tuki ry.
dc.type.okmA1


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