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dc.contributor.authorLe Clainche, Yvonnick
dc.contributor.authorVezina, Alain
dc.contributor.authorLevasseur, Maurice
dc.contributor.authorCropp, Roger A
dc.contributor.authorGunson, Jim R
dc.contributor.authorVallina, Sergio M
dc.contributor.authorVogt, Meike
dc.contributor.authorLancelot, Christiane
dc.contributor.authorAllen, J Icarus
dc.contributor.authorArcher, Stephen D
dc.contributor.authorBopp, Laurent
dc.contributor.authorDeal, Clara
dc.contributor.authorElliott, Scott
dc.contributor.authorJin, Meibing
dc.contributor.authorMalin, Gill
dc.contributor.authorSchoemann, Veronique
dc.contributor.authorSimo, Rafel
dc.contributor.authorSix, Katharina D
dc.contributor.authorStefels, Jacqueline
dc.date.accessioned2019-02-21T01:30:26Z
dc.date.available2019-02-21T01:30:26Z
dc.date.issued2010
dc.date.modified2011-03-17T06:56:49Z
dc.identifier.issn0886-6236
dc.identifier.doi10.1029/2009GB003721
dc.identifier.urihttp://hdl.handle.net/10072/37366
dc.description.abstractOcean dimethylsulfide (DMS) produced by marine biota is the largest natural source of atmospheric sulfur, playing a major role in the formation and evolution of aerosols, and consequently affecting climate. Several dynamic process-based DMS models have been developed over the last decade, and work is progressing integrating them into climate models. Here we report on the first international comparison exercise of both 1D and 3D prognostic ocean DMS models. Four global 3D models were compared to global sea surface chlorophyll and DMS concentrations. Three local 1D models were compared to three different oceanic stations (BATS, DYFAMED, OSP) where available time series data offer seasonal coverage of chlorophyll and DMS variability. Two other 1D models were run at one site only. The major point of divergence among models, both within 3D and 1D models, relates to their ability to reproduce the summer peak in surface DMS concentrations usually observed at low to mid- latitudes. This significantly affects estimates of global DMS emissions predicted by the models. The inability of most models to capture this summer DMS maximum appears to be constrained by the basic structure of prognostic DMS models: dynamics of DMS and dimethylsulfoniopropionate (DMSP), the precursor of DMS, are slaved to the parent ecosystem models. Only the models which include environmental effects on DMS fluxes independently of ecological dynamics can reproduce this summer mismatch between chlorophyll and DMS. A major conclusion of this exercise is that prognostic DMS models need to give more weight to the direct impact of environmental forcing (e.g., irradiance) on DMS dynamics to decouple them from ecological processes.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent705561 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_AU
dc.publisherWiley-Blackwell Publishing
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto13
dc.relation.ispartofissue3
dc.relation.ispartofjournalGlobal Biogeochemical Cycles
dc.relation.ispartofvolume24
dc.rights.retentionY
dc.subject.fieldofresearchAtmospheric Sciences not elsewhere classified
dc.subject.fieldofresearchAtmospheric Sciences
dc.subject.fieldofresearchGeochemistry
dc.subject.fieldofresearchOceanography
dc.subject.fieldofresearchcode040199
dc.subject.fieldofresearchcode0401
dc.subject.fieldofresearchcode0402
dc.subject.fieldofresearchcode0405
dc.titleA first appraisal of prognostic ocean DMS models and prospects for their use in climate models
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyright© 2010 American Geophysical Union. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
gro.date.issued2010
gro.hasfulltextFull Text
gro.griffith.authorCropp, Roger A.


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