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dc.contributor.authorTjiputra, Jerry
dc.contributor.authorSchwinger, Jörg
dc.contributor.authorBentsen, Mats
dc.contributor.authorMorée, Anne
dc.contributor.authorGao, Shuang
dc.contributor.authorBethke, Ingo
dc.contributor.authorHeinze, Christoph
dc.contributor.authorGoris, Nadine
dc.contributor.authorGupta, Alok Kumar
dc.contributor.authorHe, Yan-Chun
dc.contributor.authorOliviè, Dirk Jan Leo
dc.contributor.authorSeland, Øyvind
dc.contributor.authorSchulz, Michael
dc.date.accessioned2021-03-24T14:37:55Z
dc.date.available2021-03-24T14:37:55Z
dc.date.created2020-05-26T16:00:20Z
dc.date.issued2020
dc.PublishedGeoscientific Model Development. 2020, 13 (5), 2393-2431.
dc.identifier.issn1991-959X
dc.identifier.urihttps://hdl.handle.net/11250/2735341
dc.description.abstractThe ocean carbon cycle is a key player in the climate system through its role in regulating the atmospheric carbon dioxide concentration and other processes that alter the Earth's radiative balance. In the second version of the Norwegian Earth System Model (NorESM2), the oceanic carbon cycle component has gone through numerous updates that include, amongst others, improved process representations, increased interactions with the atmosphere, and additional new tracers. Oceanic dimethyl sulfide (DMS) is now prognostically simulated and its fluxes are directly coupled with the atmospheric component, leading to a direct feedback to the climate. Atmospheric nitrogen deposition and additional riverine inputs of other biogeochemical tracers have recently been included in the model. The implementation of new tracers such as “preformed” and “natural” tracers enables a separation of physical from biogeochemical drivers as well as of internal from external forcings and hence a better diagnostic of the simulated biogeochemical variability. Carbon isotope tracers have been implemented and will be relevant for studying long-term past climate changes. Here, we describe these new model implementations and present an evaluation of the model's performance in simulating the observed climatological states of water-column biogeochemistry and in simulating transient evolution over the historical period. Compared to its predecessor NorESM1, the new model's performance has improved considerably in many aspects. In the interior, the observed spatial patterns of nutrients, oxygen, and carbon chemistry are better reproduced, reducing the overall model biases. A new set of ecosystem parameters and improved mixed layer dynamics improve the representation of upper-ocean processes (biological production and air–sea CO2 fluxes) at seasonal timescale. Transient warming and air–sea CO2 fluxes over the historical period are also in good agreement with observation-based estimates. NorESM2 participates in the Coupled Model Intercomparison Project phase 6 (CMIP6) through DECK (Diagnostic, Evaluation and Characterization of Klima) and several endorsed MIP simulations.en_US
dc.language.isoengen_US
dc.publisherCopernicus Publicationsen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleOcean biogeochemistry in the Norwegian Earth System Model version 2 (NorESM2)en_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright Author(s) 2020.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.5194/gmd-13-2393-2020
dc.identifier.cristin1812715
dc.source.journalGeoscientific Model Developmenten_US
dc.source.4013
dc.source.145
dc.source.pagenumber2393–2431en_US
dc.relation.projectNotur/NorStore: nn9560ken_US
dc.relation.projectNorges forskningsråd: 295340en_US
dc.relation.projectNorges forskningsråd: 270061en_US
dc.relation.projectNotur/NorStore: ns9560ken_US
dc.relation.projectNotur/NorStore: ns1002ken_US
dc.relation.projectNotur/NorStore: nn1002ken_US
dc.relation.projectNotur/NorStore: nn2980ken_US
dc.relation.projectTrond Mohn stiftelse: BFS2018TMT01en_US
dc.relation.projectNotur/NorStore: ns2980ken_US
dc.relation.projectNorges forskningsråd: 229771en_US
dc.relation.projectNotur/NorStore: ns2345ken_US
dc.relation.projectNotur/NorStore: nn2345ken_US
dc.relation.projectEC/H2020/641816en_US
dc.relation.projectNorges forskningsråd: 295046en_US
dc.relation.projectNorges forskningsråd: 275268en_US
dc.identifier.citationGeoscientific Model Development. 2020, 13 (5), 2393–2431.en_US
dc.source.volume13en_US
dc.source.issue5en_US


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