|
|
|
 |
EDUCATION - Stuff for Kids

THE COLORS OF EL NIÑO
I'm Mary-Elena Carr and I am a biological oceanographer at the Jet
Propulsion Laboratory. I have been working with data from satellites to
monitor the effect of El Niño and seasonal change on primary productivity
and fish stocks. My area of interest is the ocean off the South American
coast of Chile and Peru [Fig. 1] where the fisheries of small pelagics such
as anchovy and sardine [Fig. 2] are a major source of food and income for
the region.
|
Figure 1. The ocean offshore from Chile and Peru is a study area for Dr. Mary-Elena Carr.
|
The western coast of South
America is characterized by the process of
coastal upwelling [Fig. 3]. The dominant winds
in the coastal area are northward and water is
transported offshore because of Earth's rotation.
Deep, cold, nutrient-rich water rises to
the surface to replace the water that has moved
away from the coast. Consequently, these areas
are rich in phytoplankton, zooplankton, and
fish. During El Niño conditions, the upper
layer of the ocean is thicker and the water is
warmer, sometimes by as much as 5*C. This
causes the water that rises to be warm and
poor in nutrients.
Phytoplankton growth is
limited and the food chain is modified, and this
can even lead to a fish stock collapse. A
collapse is when there is a large and rapid
reduction in the number of fish, often to less
than 5% of normal numbers.
|
Figure 2. Anchovies are one of the pelagics
that are caught in Chile and Peru. Sardine
and anchovy fisheries provide a major source
of income.
|
We can monitor the concentration of
phytoplankton in the near-surface waters using
satellite data from instruments that record the
color of the ocean. Phytoplankton, like all
plants, contain chlorophyll, a molecule that
gives them their green color. Phytoplankton affect the color of the
ocean because they absorb and scatter
light. Sensors that measure ocean color can provide an estimate
of chlorophyll concentration. If we use a model of photosyntheis
we can also estimate the primary productivity. Studies have
shown that areas of high chlorophyll concentration often correspond
to areas of high fish populations.
As part of my research, I have used ocean color measurements
made from three different sensors to both get data over a
long time period, and to monitor the 1997-1998 El Niño [Figs.
4]. Data over a long period are needed to understand what
average conditions really are. Data which are averages over a
number of years are known as climatologies.
Figure 1. The ocean offshore from Chile and Peru is a study area for
Dr. Mary-Elena Carr.
|
Figure 3. Upwelling along the coast due to off-shore winds. This process
brings nutrient-rich water to the surface.
|
In my case, I use monthly climatologies
which provide us with the
usual values to be expected in the
region for that month. Once we
understand the climatologies, we can
determine whether and how phytoplankton
concentrations differ
from the average. Climatologies for
December, June and September were
obtained from the Coastal Zone
Color Scanner (CZCS) over the
period of 1978-1986.
The December 1996 and June
1997 phytoplankton concentrations
were measured by the Ocean Color
and Temperature Sensor (OCTS), a
Japanese ocean color sensor flown
on the ADEOS satellite. The September
1997 value is from the Seaviewing
Wide Field of View Sensor
(SeaWiFS), launched on Seastar in
August 1997.
From the climatologies, concentration
off the coast of South America is strongly affected by season [Fig. 4, top row]. Along Peru's
coast the phytoplankton concentrations are greater in December than in September, but along the Chilean
coast the concentrations are higher in September. This results from the seasonal pattern of wind forcing
which drives upwelling. 'Upwelling-favorable' conditions bring nutrients to the surface and result in
higher phytoplankton concentrations.
You can see the difference that an El Niño makes to pigment concentration, and primary productivity,
by comparing data taken during an El Niño to the climatologies. December 1996 values [Fig. 4], measured
before an El Niño, were fairly similar to the climatology. In these data, zones of high productivity,
shown as yellow and orange, were found close to the coast and extended almost 100 km offshore. Satellite
imagery from June 1997 [Fig. 4], while an El Niño was developing, show that the concentration was
lower than usual and that high values were found in a narrow band next to the coast. These effects became
more extreme in September 1997 [Fig. 4] during the full blown El Niño conditions.
In 1998, the Year of the Ocean, I will be working with SeaWiFS data to monitor the effects of the
1997-98 El Niño on primary production and the fishing industry.
|
Figure 4. The colors cover a range from 0 to 30 milligrams of chlorophyll per cubic meter. Purple and blue are lower
values and red corresponds to the highest values. The land is gray and areas where there is no data are black. Climatologies
are average data which can be compared with non-El Niño conditions in December 1996 and El Niño conditions in
September 1997.
|
|
|
|
|
|
|
|
|
|
|
|