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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.date.accessioned2018-01-18T14:23:56Z
dc.date.available2018-01-18T14:23:56Z
dc.date.issued2017-07-11
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.en_US
dc.descriptionSource at <a href=http://dx.doi.org/10.1002/2016JG003660> http://dx.doi.org/10.1002/2016JG003660 </a>en_US
dc.identifier.citationDuarte P. ...[et. al.]: Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results. Journal of Geophysical Research - Biogeosciences. 2017;122(7):1632-1654en_US
dc.identifier.cristinIDFRIDAID 1508429
dc.identifier.doi10.1002/2016JG003660
dc.identifier.issn2169-8953
dc.identifier.issn2169-8961
dc.identifier.urihttps://hdl.handle.net/10037/11983
dc.language.isoengen_US
dc.publisherAmerican Geophysical Unionen_US
dc.relation.journalJournal of Geophysical Research - Biogeosciences
dc.relation.projectIDUtenriksdepartementet: ?en_US
dc.relation.projectIDAndre: Polarinstituttet Grant Numbers: 221961/F20en_US
dc.relation.projectIDNorges forskningsråd: 244646en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/POLARPROG/244646/NORWAY/Ice-algal and under-ice phytoplankton bloom dynamics in a changing Arctic icescape//en_US
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Mathematics and natural science: 400::Zoology and botany: 480::Marine biology: 497en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Marinbiologi: 497en_US
dc.subjectVDP::Mathematics and natural science: 400::Geosciences: 450::Quaternary geology, glaciology: 465en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Kvartærgeologi, glasiologi: 465en_US
dc.titleSea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model resultsen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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