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dc.contributor.authorDuarte, Pedro
dc.contributor.authorMeyer, Amelie
dc.contributor.authorOlsen, Lasse Mork
dc.contributor.authorKauko, Hanna Maria
dc.contributor.authorAssmy, Philipp
dc.contributor.authorRösel, Anja
dc.contributor.authorItkin, Polona
dc.contributor.authorHudson, Stephen R.
dc.contributor.authorGranskog, Mats A.
dc.contributor.authorGerland, Sebastian
dc.contributor.authorSundfjord, Arild
dc.contributor.authorSteen, Harald
dc.contributor.authorHop, Haakon
dc.contributor.authorCohen, Lana
dc.contributor.authorPeterson, Algot Kristoffer
dc.contributor.authorJeffery, Nicole
dc.contributor.authorElliott, Scott M.
dc.contributor.authorHunke, Elizabeth Clare
dc.contributor.authorTurner, Adrian K.
dc.identifier.citationJournal of Geophysical Research - Biogeosciences. 2017, 122 (7), 1632-1654.nb_NO
dc.description.abstractLarge changes in the sea ice regime of the Arctic Ocean have occurred over the last decades justifying the development of models to forecast sea ice physics and biogeochemistry. The main goal of this study is to evaluate the performance of the Los Alamos Sea Ice Model (CICE) to simulate physical and biogeochemical properties at time scales of a few weeks and to use the model to analyze ice algal bloom dynamics in different types of ice. Ocean and atmospheric forcing data and observations of the evolution of the sea ice properties collected from 18 April to 4 June 2015, during the Norwegian young sea ICE expedition, were used to test the CICE model. Our results show the following: (i) model performance is reasonable for sea ice thickness and bulk salinity; good for vertically resolved temperature, vertically averaged Chl a concentrations, and standing stocks; and poor for vertically resolved Chl a concentrations. (ii) Improving current knowledge about nutrient exchanges, ice algal recruitment, and motion is critical to improve sea ice biogeochemical modeling. (iii) Ice algae may bloom despite some degree of basal melting. (iv) Ice algal motility driven by gradients in limiting factors is a plausible mechanism to explain their vertical distribution. (v) Different ice algal bloom and net primary production (NPP) patterns were identified in the ice types studied, suggesting that ice algal maximal growth rates will increase, while sea ice vertically integrated NPP and biomass will decrease as a result of the predictable increase in the area covered by refrozen leads in the Arctic Ocean.nb_NO
dc.publisherAmerican Geophysical Unionnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.titleSea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model resultsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalJournal of Geophysical Research - Biogeosciencesnb_NO
dc.relation.projectUtenriksdepartementet: ?nb_NO
dc.relation.projectAndre: Polarinstituttet Grant Numbers: 221961/F20nb_NO
dc.relation.projectNorges forskningsråd: 244646nb_NO
dc.description.localcode©2017. The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.nb_NO
cristin.unitnameInstitutt for biologi

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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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