NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks Modelling the marine source and exchange at...
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Transcript of NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks Modelling the marine source and exchange at...
![Page 1: NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks Modelling the marine source and exchange at interfaces Nadja Steiner, Institute of Ocean Sciences,](https://reader038.fdocuments.us/reader038/viewer/2022103112/551ac92a55034606048b4df3/html5/thumbnails/1.jpg)
NETCARE: B2-4c Parameterizing Climate-DMS
Feedbacks Modelling the marine source and exchange at interfaces
Nadja Steiner, Institute of Ocean Sciences, DFO, Sidney & CCCma, ECHakase Hayashida, School of Earth and Ocean Sciences, UVIC, Victoria
![Page 2: NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks Modelling the marine source and exchange at interfaces Nadja Steiner, Institute of Ocean Sciences,](https://reader038.fdocuments.us/reader038/viewer/2022103112/551ac92a55034606048b4df3/html5/thumbnails/2.jpg)
ASCM
OSCM
Fluxes
SST
NCEP Reanalysis/Other forcing
Initialisation
Includes:Ecosystem model: N
2P
2Z
2D,
Inorganic Carbon cycle: DIC,Alk,O2,N2, Si cycles
Marine DMS cycle
Steiner & Denman 2008
ASCM: Atmospheric Single Column Model extract from CCCma global GCMOSCM: 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)
![Page 3: NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks Modelling the marine source and exchange at interfaces Nadja Steiner, Institute of Ocean Sciences,](https://reader038.fdocuments.us/reader038/viewer/2022103112/551ac92a55034606048b4df3/html5/thumbnails/3.jpg)
DMSP and DMS cycles in the upper ocean (Gabric et al. 2002)
Boxes and processes currently represented in the model
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Simulated DMS concentration (top 20m) at OSPS: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:◊
2005-2006
2007-2008
Steiner et al. 2012
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Steiner et al. 2012
Phytoplankton composition from pigment analysis (HPLC)
No downward trend in August!
DMSP producer
Dinoflagellates absent in June
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?
DMSPd
Ni
Na
Z2(t)
DMSO+Sp
DMS
D
Z1
DMSPp
Ps
Sinking
AggregatesDetritusEntrainment
+Mixing
Photolysis
Bact. cons.
enzym. cleavage
Air-Sea/Air-Iceexchange
Pl Spl
Si
PSi
cleavage
Bact. cons.
PaDMSPpDMS
?
grazing
mortality
Photolysis, bact. conversion
Biol. conv.Sea Ice
Pelagic ecosystem
DMSPp
Fecal Pellets
![Page 8: NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks Modelling the marine source and exchange at interfaces Nadja Steiner, Institute of Ocean Sciences,](https://reader038.fdocuments.us/reader038/viewer/2022103112/551ac92a55034606048b4df3/html5/thumbnails/8.jpg)
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
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AB
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 photometric detector.
DMS analysis: “Purge and trap”
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Gas exchange velocities kex
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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)