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Advance Warning (continued)
(back)
In yet another failing, no computer model of the time had yet focused on the
key interactions between the sea and the air above it as the essential feature
of El Niño. Mostly, they tended to look either at changes in the ocean,
or changes in the winds, but not very much at the dynamic feedback systems
between them. Since 1982, most models (and scientists) have come full circle,
and concentrate on the so-called "dance" between the ocean's surface layer and
the winds as the critical element. But in 1982, roughly speaking, you were
either an oceanographer or a meteorologist, and you tended to ignore whatever
your discipline excluded. Computer models programmed by oceanographers
concentrated on the ocean; models made by meteorologists looked mostly at the
winds.
In short, when they had the chance to foretell one of the century's major
weather events, the specialists were wrong. If a roomful of the top El
Niño scientists in the world could argue at an international meeting
about whether or not they were ready to detect the next El Niño—while
in the ocean the next El Niño had been building unnoticed for six months
or more—the science of prediction clearly had a long way yet to go.
At the same time the scientists were meeting in New Jersey, a young researcher
named John Toole was on an oceanographic ship off the coast of South America.
He and others were periodically dunking a temperature and salinity measuring
device called a CTD over the side of the ship, taking a series of readings in a
line right up the coast. The temperature readings they were getting were
astonishing; near the equator, the sea was as much as six degrees Celsius (over
ten degrees Fahrenheit) above normal. Toole didn't throw out his data, he
threw out the satellite data. He could trust what he could see with his own
eyes and feel with his own skin. It was John Toole, working with his mentor
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Mike McPhaden
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| Stan Hayes, who announced in November of 1982 that the king had no clothes,
that the conventional wisdom just wasn't very wise, and that a bad El
Niño had slipped through the gate undetected. Interestingly enough, in
1998, it is still the data retrieved directly from the sea itself, and not
satellites, that remains the benchmark, and this data is also now used to
calibrate the satellites.
Mike McPhaden is now the chief scientist of the program that grew out
of the discomfiture of 1982. Stan Hayes, his predecessor, deserves the
credit for thinking up the TOGA/TAO array following the 1982 folly, and
for spending 10 years proving the concept and convincing the budget
overseers that it was worth funding. Tragically, Stan Hayes became ill
with cancer as the array neared completion; nevertheless, he carried on
with his work right until his death in 1992, leaving behind an
indelible testament to the power of scientific vision and persistence.
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Preparing an ATLAS buoy.
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Hayes' idea is fiendishly clever; at each point along the grid, a buoy
is anchored to the sea floor below with miles of nylon cable. The
buoys take measurements of ocean temperature to a depth of 500 meters
under the buoy, with a string of probes dunked into the sea. They also
measure wind speed, temperature, and direction right at the surface of
the sea. A picture of the ocean/atmosphere interface, including the
depth of the all-important ocean thermocline (the boundary between cold
deep water and warm surface water) is relayed continuously to overhead
polar-orbiting satellites. These satellites then beam all the data
down to special computers, which weave the picture together.
The buoys, called ATLAS (for Autonomous Temperature Line Acquisition System),
are rugged little floating weather stations designed to last a year or more
without attention. Much like NASA's celebrated new "faster, cheaper, better"
programs, the ATLAS buoys combine ingenious technology and off-the-shelf parts
into instruments that offer amazing performance for the price. For example,
the electronics use sophisticated microprocessor controls, and are custom
designed for the instrument pack...but the energy source is plain old alkaline
D-cells from Radio Shack. The anchors are recycled railroad car wheels, 4,000
pounds worth, but the mooring lines are attached to them via acoustic couplers,
which sit on the anchor at the bottom of the sea for a year, listening for an
acoustic signal fired from the service ship that tells them to release the
cable and free the buoy. The instrument-pack design foregoes costly current-measuring devices,
and concentrates on reliable and
maintenance-free temperature and wind devices. As Mike McPhaden puts it, "we
don't put Cadillacs out there, we put Chevys...we trade fancy for reliable, and
it's worked out great so far."
Indeed. Using a specially-equipped ship, the Ka'imimoana—and to a lesser
degree, the assistance of international partner ships from Japan, Taiwan,
Korea, and France—McPhaden's group at the Pacific Marine Environmental Lab
maintains one of the largest scientific instruments ever built, deployed across
thousands of miles of blue ocean. They're able to keep the network running
with an average time between calls to each buoy of a year. Most of the buoys
are still working fine after that year has passed...in fact, McPhaden says the
biggest problems are due to vandalism by fishermen, and not to equipment
failure. And the cost of this grand program? "About eight million dollars a
year," says McPhaden. "Somewhere between a tenth and a hundredth the cost of a
single satellite program. A bargain any way you look at it." Considering that
the damage toll for this year's El Niño alone will surely measure many
billions, it's hard not to agree with McPhaden that TOGA/TAO provides a very
cheap advance warning.
To see how much impact such a warning can have, take a look at another highly
visible El Niño warning system—the media—which now seems
entrenched as an alarm system for the masses; few phenomena have invaded the
national consciousness in recent years as El Niño has. People who
didn't even know which side of the continent the Pacific ocean is on are
talking about warm pools and jet streams. Unfortunately, the warning provided
by the media is often long on catastrophic visions and short on understanding
the natural cycles between the ocean and atmosphere that are responsible for
them. About this, Mike McPhaden can only shake his head. "TOGA/TAO is not a
catastrophe detector," he observes, "it is a stethoscope, and we use it to
monitor the natural rhythms...the heartbeat...of the global climate system.
Think about summer and winter. If we didn't have knowledge of its imminent
arrival, winter would be a catastrophe...ice replaces rain, temperatures dive,
the sun grows distant and low in the sky. With a calendar—a prediction
system—the catastrophe becomes an inconvenience, or even a benefit. That's
what we're after with TOGA/TAO as well. To provide enough warning so that El
Niño is no longer a catastrophe."
The data collected by the TOGA/TAO array remains the standard against which all
others are calibrated. Combined with satellites, other measuring devices, and
the latest computers, TOGA/TAO forms the heart of a system that for the first
time is able to provide up to a year's reliable notice of an impending El
Niño. The embarrassment of 1982 has been erased. Although this is a
young science, and there is still a lot to learn, Mike McPhaden, the crew of
the Ka'imimoana, and the staff at the Pacific Marine Environmental Lab in
Seattle are the first line in a detection system that doesn't expect to be
fooled again. Meanwhile, the modellers are getting a lot better, too, in part
because of the excellence of the data they feed into their computers. Even
though the top model failed this year, most of the other contenders predicted
some sort of warm event. In any event, these are flush times in the climate
community. With tools like the TOGA/TAO array, ever-faster computers, and the
insights that will inevitably accrue from the current worldwide fascination
with El Niño, climatologists can literally look ahead to a time when El
Niño will seem less a monster and more...a child.
Photos/Images: (4-6) NOAA.
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