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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, DFO, Sidney & CCCma, EC Hakase Hayashida, School of Earth and Ocean Sciences, UVIC, Victoria
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NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks

Dec 31, 2015

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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, DFO, Sidney & CCCma, EC Hakase Hayashida, School of Earth and Ocean Sciences, UVIC, Victoria. ASCM. SST. OSCM. Initialisation. - PowerPoint PPT Presentation
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Page 1: 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, ECHakase Hayashida, School of Earth and Ocean Sciences, UVIC, Victoria

Page 2: NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks

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

DMSP and DMS cycles in the upper ocean (Gabric et al. 2002)

Boxes and processes currently represented in the model

Page 4: NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks

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

Page 5: NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks

Steiner et al. 2012

Phytoplankton composition from pigment analysis (HPLC)

No downward trend in August!

DMSP producer

Dinoflagellates absent in June

Page 6: NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks
Page 7: NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks

?

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

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

Page 9: NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks

Thank you

[email protected]

Page 10: NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks

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”

Page 11: NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks

Gas exchange velocities kex

Page 12: NETCARE: B2-4c Parameterizing Climate-DMS Feedbacks

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)