an overview of the satellite chlorophyll patterns in the north atlantic. andré valente ccmmg,...
TRANSCRIPT
An overview of the
satellite chlorophyll patterns
in the North Atlantic.
André Valente
CCMMG, Azores University
Eumetrain - Ocean and sea week - Lisbon, Portugal
2011/11/02
Contents
1 – What is chlorophyll and why is it important?
2 – How can we measure chlorophyll from
space?
3 – What can we do with the images?
4 - Important concepts.
5 – Chlorophyll patterns in the North Atlantic.
- Large-scale.
- Seasonal time-scale.
- Interannual time-scales.
- Shorter time-scales.
What is phytoplankton and chlorophyll?
Phytoplankton are microscopic sea plants.
They are the base of the marine food chain.
Chlorophyll a is a pigment of
phytoplankton.
Is responsible for absorbing sunlight during
photosynthesis.
Phytoplankton
Zooplankton
Chlorophyll a ~ Phytoplankton
biomass ~ Primary productivity
Phytoplankton
Zooplankton
Nutrients+Light
Phytoplankton growth
More food available!
Why is phytoplankton important?
1 - Supports almost all marine life.
2 - Half of the biological production on the planet.
3 - Key role in the global carbon cycle.
By measuring the “color” of the ocean!
chlorophyll satellite images = ocean color images
Hypothesis: chlorophyll is the only coloring agent in the water.
Chlorophyll absorbs the “blue” radiation, so the higher the chlorophyll concentration, the lower is the “blue” water-leaving radiance
Open ocean:Blue water – Low chlorophyllGreen water – High chlorophyll
The hypothesis fails in coastal waters (other coloring material)
How to measure chlorophyll from space?
WATERWATER
AIR Lwat
Lsup
Eletromagnetic Radiation
Ltraj
sensor
The sun emits electromagnetic radiation in the visible part of the spectrum.
“ocean color”
How to measure chlorophyll from space?
The higher the
chlorophyll
concentration,
the lower is the
“blue” radiance
emerging from
the water.
CCchlchl
LLww(443nm)(443nm)
LLww(551nm)(551nm)~
Water leaving radiance for different chl concentrations
Water leaving radiance (or ocean color)
(Yoder and Kennelly, 2006)
.
• Sensors: MODIS, SeaWiFS, MERIS, etc• Spatial resolution: 1km2• Temporal resolution: Daily• Since 1998-present• Freely available.
It takes 100min to make one orbit. About 15 orbits per day. The result is one image per day at the same time every day. The satellite passes every day around 14pm above Lisbon.
What is like a chl satellite image?
.
1 day composite (2009/05/29)
7 day composite (all images 2009/05/25 -
2009/06/01)
1 month composite (all images 2009/05/01 -
2009/05/31)
What does a chl satellite image look like?
We have:
Daily, high resolution, global images of chlorophyll patterns.
Huge amount of data (since 1997... that gives around 5000 daily
images).
We can study plankton distribution in time and space:
Identify large-scale and regional patterns.
Determine seasonal and interannual cycles.
Delineate ecological provinces.
Determine trends (climate change).
Using other environmental variables (currents, water masses, winds,
tides, bathymetry, etc,) we can identify the forcing mechanisms.
So what can we do now?
Important concepts: nutrients, light and mixing
Nutrients + Light
Phytoplankton growth
But nutrients and light are the inverse of one another:
What brings nutrients to the euphotic zone?
The biological pump
(Levy et al, 2008)
Nutrient increases with depth.
Light decreases with depth
Ocean transport and mixing processes
maintains the supply of nutrients from
deep waters to surface waters.
Other nutrient inputs: atmospheric deposition,
river runoff in the coastal zone and nitrogen
fixation.
Important concepts: supply of nutrients
The spatial changes in phytoplankton abundance
is the result of regional differences in the amount
of nutrient fluxed into the euphotic zone.
(Yentsch, 1989)
Important concepts: supply of nutrients
Important concepts: mixed layer depth (MLD)
Aug Nov
MayFeb
Mixed Layer Depth Climatology (de Boyer Montégut et al 2004)
Important concepts: mixed layer depth (MLD)
MLD influences the rate of primary production by regulating the basic substrates: light and nutrients.
Winter storms deepen the mixed layerWarmer temperatures, weak winds and insulation shallows mixed layer
Set Nov Jan Feb Mar
Apr May Jun Jul Aug 50m 20m 50m 20m 10m
30m 50m 100m 200m 300m
1 - Large scale and time scale>1year:
Controlled by the thermohaline and the wind-driven
circulations.
These circulations regulate the subsurface nutrient distribution.
2 - Seasonal time-scale:
Modulated by winter mixing and stratification.
3 – Interannual time-scale:
Variations in winter mixing and stratification.
4 - Shorter time scales:
Controled by mesoscale eddies (10-100km) and submesoscale
features such as fronts and filaments (~1-10km).
The physical supply of nutrients
Large scale and time scale>1year
Annual chl mean for 1998
Different surface chlorophyll patterns and therefore productivity.
Where?
Large scale and time scale>1year
Annual chl mean for 1998
Coastal upwelling
Subpolar Gyre Coastal
waters
Different surface chlorophyll patterns and therefore productivity.
Why?
Subtropical Gyre
Large scale and time scale>1year
Annual chl mean for 1998
Coastal waters:
More productive than open ocean.
Nutrient supply from rivers and
anthropogenic nutrient inputs.
Upwelling of nutrients from tidal
mixing in the shelf
But be careful... the chl algorihm
was not designed for coastal
waters. Mineral sediments tipically
induce erroneously high satellite-
derived chl.
Large scale and time scale>1year
Annual chl mean for 1998
Coastal upwelling:
Eastern boundaries
Winds induce the upwelling of
deeper cold, nutrient-rich waters.
Very productive regions.
Large scale and time scale>1year
Annual chl mean for 1998 Subpolar gyre:
High productivity.
Strong seasonal blooms of
phytoplankton.
http://web.me.com/uriarte/Earths_Climate/Appendix_4._Ocean_currents.html
Subtropical gyre:
Low productivity.
Weak seasonal blooms of
phytoplankton.
Why the difference in productivity between gyres?
Surface winds drive double-gyre systems and thermocline differences.
Subpolar gyre: cyclonic circulation, upwelling and a raised thermocline.
Subtropical gyre: anticyclonic circulation, downwelling and a depressed thermocline.
(Williams and Follows, 2003)
1 – Different nutricline depths (Znitrate>1mMol/m3)
In the subpolar gyre the
thermocline and the
nutricline is closer to the
surface.
There are more nutrients
available and the potential
for higher productivity is
greater. WOA nitrate August climatology
(mMOL/m3).
light
Why the difference in productivity between gyres?
1 – Different nutricline depths (Znitrate>1mMol/m3)
Subpolar gyre: Strong winter mixing (mixed layer depths >200m)
Subtropical gyre: Weak winter mixing (mixed layer depths ~ 100m)
WOA nitrate August climatology (mMOL/m3) and WOA mixed layer
depth March climatology.
Why the difference in productivity between gyres?
2 – Different winter mixing
light
mld
Why the difference in productivity between gyres?
Subpolar gyre:
Shallow nutricline
Strong winter mixing
Nutrient abundant
Light can be limiting
Subtropical gyre:
Deeper nutricline
Weak winter mixing
Nutrient limited
Light abundant.
Seasonal time-scale
Aug Nov
MayFeb
The vernal, or spring, bloom.
A feature of many seasonal seas in the global ocean.
The most famous is the spring bloom of the North Atlantic, clearly detectable from space.
Satellite Chlorophyll Climatology 1998-2007
Maximum MLDs ~ 100mWeak bloom in winterNutrient limited
Maximum MLDs > 200mStrong bloom in spring
Seasonal time-scale
Levy et al, 2005
The seasonality is mainly driven by variations in the mixed layer depth.
Seasonal time-scale
MLD's shallow to 100m (due to surface warming), and the spring bloom begins. Why?
Wherever MLD's are greater than 200m, chlorophyll is low. Why?
Circles are ARGO floaters. The color is the mixed layer depth (0-400m)
Chl April 2007Chl March 2007
Seasonal time-scale
Critical Depth Hypothesis formalized by Sverdrup in 1953 (and almost always used)
Henson et al, 2006
For a spring bloom to occur the MLD must be shallower than a certain critical depth (Zc).
For MLD>Zc production is inhibited, the cells are being continuously mixed below the euphotic layer for periods greater than their doubling time.
MLD shallowing and Chl increase
Seasonal time-scale
Why does MLD shallows?
Qnet>0, ocean gains heat
- warmer air temperatures
- weaks winds
- solar heating
Seasonal time-scale
Follows and Dutkiewicz, 2002
Bloom timing:
A northward propagating front of chlorophyll.
Seasonal time-scale
Subpolar region:the bloom is moreintense where greatest heat input favours restratification.
Subtropical region: the bloom is intensified where there is greater surface heat loss and wind mixing, consistent with nutrient limitation.
Follows and Dutkiewicz, 2002
Interannual time-scale
Interannual variability in winter-time convection and the corresponding influence on the supply of nitrate to the euphotic zone and the response in primary production (BATS).
(Williams and Follows, 2003)
Interannual time-scale
Henson et al, 2009
Follows and Dutkiewicz, 2002
NAO positive
NAO negative
NAO positive – NAO negative
Interannual variability in the timing of the spring bloom due to the variation in wind mixing, linked to NAO.
Shorter time-scales
Controled by mesoscale eddies (10-100km) and
submesoscale features such as fronts and filaments (~1-
10km).
Lehahn et al, 2007
(Williams and Follows, 2003)
The physical regime of the oceans dictates the
phytoplankton distributions and hence primary
production in the oceans; the forces involved
are those associated with the sun's heating and
cooling, which drives the ocean's circulation.
(Yentsch, 1989)
References:
de Boyer Montégut, C., G. Madec, A. S. Fischer, A. Lazar, and D. Iudicone (2004), Mixed layer depth over the global ocean: an examination of profile data and a profile-based climatology, J. Geophys. Res., 109, C12003, doi:10.1029/2004JC002378.
Follows, M., Dutkiewicz, S., 2002. Meterological modulation of the North Atlantic spring bloom. Deep-Sea Research II 49, 321–344.
Henson, S. A., I. Robinson, J. T. Allen, and J. J. Waniek (2006), Effect of meteorological conditions on interannual variability in timing and magnitude of the spring bloom in the Irminger Basin, North Atlantic, DeepSea Res., Part I, 53, 1601– 1615, doi:10.1016/j.dsr.2006.07.009.
Henson, S. A., J. P. Dunne, and J. L. Sarmiento (2009), Decadal variability in North Atlantic phytoplankton blooms, J. Geophys. Res., 114, C04013, doi:10.1029/2008JC005139.
Lehahn, Y., F. d'Ovidio, M. Lévy and E. Heitzel (2007). Stirring of the Northeast Atlantic spring bloom: a lagrangian analysis based on multi-satellite data, J. Geophys. Res., 112, C08005, doi:10.1029/2006JC003927
Lévy, M., Y. Lehahn, J.-M. André, L. Mémery, H. Loisel, and E. Heifetz (2005). Production regimes in the Northeast Atlantic : a study based on SeaWiFS chlorophyll and OGCM mixed-layer depth, J. Geophys. Res., Vol.110,No.C7,C07S10, doi: 10.1029/2004JC00277
Lévy, M. (2008). The modulation of biological production by oceanic mesoscal turbulence, Lect. Notes Phys., 744, 219-261, DOI 10.1007/978-3-540-75215-8_9, Transport in Geophysical flow: Ten years after, J. B. Weiss and A. Provenzale (Eds), Springler
Williams R. G. and M. J. Follows (2003), Physical transport of nutrients and the maintenance of biological production. In : Ocean Biogeochemistry : a JGOFS synthesis, ed by Springer
Yentsch C. S. (1989), AN OVERVIEW OF MESOSCALES DISTRIBUTION OF OCEAN COLOR IN THE NORTH ATLANTIC Adv. Space Res. Vol. 9, No. 7, pp. (7)435-(7)442, 1989
Yoder, J.A., and M.A. Kennelly, 2006. What have we learned about ocean variability from satellite ocean color imagers? Oceanography, 19(1), 152-171