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NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks Modelling the marine source and exchange at interfaces Nadja Steiner, Institute of Ocean Sciences,

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Presentation on theme: "NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks Modelling the marine source and exchange at interfaces Nadja Steiner, Institute of Ocean Sciences,"— Presentation transcript:

1 NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks Modelling the marine source and exchange at interfaces Nadja Steiner, Institute of Ocean Sciences, DFO, Sidney & CCCma, EC Hakase Hayashida, School of Earth and Ocean Sciences, UVIC, Victoria

2 ASCM OSCM Fluxes SST NCEP Reanalysis/ Other forcing Initialisation Includes: Ecosystem model: N 2 P 2 Z 2 D, Inorganic Carbon cycle: DIC,Alk, O2,N2, Si cycles Marine DMS cycle Steiner & Denman 2008 ASCM: Atmospheric Single Column Model extract from CCCma global GCM OSCM: Ocean SCM: General Ocean Turbulence Model (GOTM) 1-D Model development Additions for NETCARE: Sea ice٭, Sea-ice algae ecosystem with DMS Other organic aerosol sources (surface films, bubble bursting)

3 DMSP and DMS cycles in the upper ocean (Gabric et al. 2002) Boxes and processes currently represented in the model

4 Simulated DMS concentration (top 20m) at OSP S:N ratio, Fe limitation,S:N ratio seasonally varying to reflect the absence of dinoflagellates in late spring Wong et al 2004:Δ recent bottle: x MIMS:◊ Steiner et al. 2012

5 Phytoplankton composition from pigment analysis (HPLC) No downward trend in August! DMSP producer Dinoflagellates absent in June

6

7 ? DMSP d NiNi NaNa Z 2 (t) DMSO+Sp DMS D Z1Z1 DMSP p PsPs Sinking Aggregates Detritus Entrainment +Mixing Photolysis Bact. cons. enzym. cleavage Air-Sea/Air-Ice exchange PlPl Spl Si P Si cleavage Bact. cons. PaPa DMSPp DMS ? grazing mortality Photolysis, bact. conversion Biol. conv. Sea Ice Pelagic ecosystem DMSPp Fecal Pellets

8 University of Alberta North America Arctic (NAA) model (P. Myers): physical model only NEMO-LIM (so far => CICE) now installed with PISCES => Implement new ecosystem in coordination with CCCma - CanESM development N3P2Z2D2, Alk, DIC, O2, N2O, DMS, sea-ice ecosystem (P, DMS) Application in Regional Model New

9 Thank you

10 A B C Sample (20ml) is loaded into the system (A). DMS stripped from the water using UHP nitrogen at 100 ml/min (B) and absorbed into a Tenax-TA trap held at - 170°C (C). After 10 minutes sample is desorbed onto a Chromasorb 330 column using boiling water, and elutes onto a Gas Chromatograph with a flame photometri c detector. DMS analysis: “Purge and trap”

11 Gas exchange velocities k ex

12 Photolysis Mostly parameterized as function of PAR. Recent data show that photolysis is mainly caused by the UV range ( e.g. Bouillon et al., 2006): UVA: 70%, UVB:30%) and varies with NO 3 - content (Bouillon and Miller 2004). Calculate photolysis as f(UV): Based on photolysis rates, DMS, UVA/B from SERIES we obtain: photo= c A x UVA(z) + c B x UVB(z) (c A,B = 0.026; 2.6 d -1 (Wm -2 ) -1 ) ‏


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