STIRRING VEGETABLE SOUP Adrian Martin Warwick Turbulence Symposium: Workshop March 2006...
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STIRRING VEGETABLE SOUPAdrian MartinWarwick Turbulence Symposium: Workshop March 2006"Environmental Turbulence from Clouds through the Ocean"
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Coccolithopore
Emiliania huxleyi
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100 Gt C y-1
60% land, 40% water
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Scales of Interest
Mesoscale and sub-mesoscale1km-500km
1d-few months
Rules of thumb:eddy size ~20-150kmrotation period ~1-4dmax.current speed ~1m/slifetime ~weeks-months
phytoplankton doubling time ~1d
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Horizontal velocity Vertical velocity
Data from PRIME cruise, June 1996
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Data
from
Dundee
Satellite
Receiving
Station
Processed by
Steve Groom,
RSDAS, PML
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Given that phytoplankton and physical forcing of phytoplankton are `patchy’…
What effect do stirring and mixing have on production?
Suppose that upwelling and ambient regions are isolated.
How sensitive is the difference toA = upwelling fraction of region? I = ratio of upward nitrate fluxes?m = rate of horizontal mixing?
Is the total production for the areamore or less than if the two regions were being mixed?
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Parameter values
A 0.025, 0.05, 0.12, 0.25
I 1-1000s~0.006d-1 backgrounds~1.6d-1 upwelling
m 0-10d-1
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139% increase in total primary production
Martin et al., Global Biogeochemical Cycles, 2002
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208% increase in total primary production
Martin et al., Global Biogeochemical Cycles, 2002
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C. Pasquero, Geophysical Research Letters, 32, L17603, 2005
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C. Pasquero, Geophysical Research Letters, 32, L17603, 2005
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Conclusions
•Turbulence strongly affects plankton ecology and plays a major role in controlling regional primary production at the mesoscale.
•Lateral turbulent stirring and mixing is just as important as the vertical supply of nutrients.
•Correlations between coherent structures and upwelling regions can exert a very strong influence on production.
•Use of standard effective diffusivities may result in significantoverestimates of production
•Global Carbon Cycle Models may incur significant errors in ignoring the effect of mesoscale turbulence on biology.
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May 1735 - “[Encountered coloured water] extending about two miles from North to South and about six to eight hundred fathoms from West to East. The colour of the water was yellow.”
Don Antonio de Ulloa (1716-1795)
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Approach
two-box modelexamine sensitivity to fundamentalparameters of system
Twin-pronged
turbulence modelexplore the effect of mixing in more detailin particular the influence of coherent structures
Same biological model in each case.
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Ecosystem Model
Oschlies and Garcon, 1999
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Two Box Model
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Base value (I=1,m=0): 0.076mMol N /m3/d
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Use same biological modelRange of spatial distributions for forcing, with A constant
Two-box model:
Advantage:Clearest demonstration of sensitivity to m, I and A
Disadvantage:Very crude representation of mixing
Motivation for turbulence model:
Explicit modelling of mixing due to mesoscale turbulence
Sensitivity to distribution of upwelling
Role of coherent structures
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Forced barotropic quasigeostrophic turbulence
Dq/Dt=F+D18q+D2-2q
q= 2-/R2+f
R=1/5
Pseudospectral for vorticityFinite difference for tracers
Domain size: 512kmResolution: 2kmTyp.eddy size: 40-80kmTyp.eddy vel.: 0.6m/s
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29% increase in total primary productionA