1 / 12

NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks

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. ASCM. SST. OSCM. Initialisation.

aimee-wells
Download Presentation

NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

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 SST OSCM Initialisation 1-D Model development NCEP Reanalysis/ Other forcing ASCM: Atmospheric Single Column Model extract from CCCma global GCM OSCM: Ocean SCM: General Ocean Turbulence Model (GOTM) Includes: Ecosystem model: N2P2Z2D, Inorganic Carbon cycle: DIC,Alk, O2,N2, Si cycles Marine DMS cycle Fluxes Additions for NETCARE: Sea ice٭, Sea-ice algae ecosystem with DMS Other organic aerosol sources (surface films, bubble bursting) Steiner & Denman 2008

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

  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 2007-2008 2005-2006 Steiner et al. 2012 Wong et al 2004:Δ recent bottle: x MIMS:◊

  5. Phytoplankton composition from pigment analysis (HPLC) DMSP producer No downward trend in August! Dinoflagellates absent in June Steiner et al. 2012

  6. Air-Sea/Air-Ice exchange Sea Ice Photolysis, bact. conversion Biol. conv. grazing Pa DMSPp DMS DMSPp ? mortality Photolysis ? Ps Pelagic ecosystem Pl DMSPp DMS Spl enzym. cleavage Si Z2(t) DMSPd Z1 Na Bact. cons. cleavage Ni PSi D Bact. cons. DMSO+Sp Sinking Detritus Fecal Pellets Entrainment +Mixing Aggregates

  7. Application in Regional Model New 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)

  8. Thank you Nadja.Steiner@dfo-mpo.gc.ca

  9. DMS analysis: “Purge and trap” 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 photometric detector. A C B

  10. Gas exchange velocities kex

  11. 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 NO3- content (Bouillon and Miller 2004). • Calculate photolysis as f(UV): Based on photolysis rates, DMS, UVA/B from SERIES we obtain: photo= cA x UVA(z) + cB x UVB(z) (cA,B = 0.026; 2.6 d-1 (Wm-2)-1)‏

More Related