Before the days of satellite-tracked floats
and buoys and satellite-based altimeters and scatterometers, scientists relied
on ship drift data to map currents.
In the mid 1800s, Matthew Fontaine Maury of the U.S. Naval Oceanographic
Office initiated an effort to assemble navigation charts that included information
on currents. They based their current measurements on logs collected from
Naval and merchant ships. At the time, ships navigated through dead reckoning.
Once or twice a day, a ship noted its position based on celestial navigation,
and recorded its speed, and compass direction. A ship that sails through
still waters and keeps a straight course should arrive at a predicted point
based on its speed and direction. But if currents are present, they will
likely push the ship off course and alter its speed. One can estimate the
direction and speed of these currents by subtracting the predicted vector
based on dead reckoning from the vector representing the ships actual speed
and direction.
(Click image to enlarge)
The U.S. Naval Oceanographic Office continued collecting these ship drift
data until the mid1970s. Peak data collection took place between 1920 and
1940. The National Oceanographic Data Center holds over four million observations
of currents that are available to scientists on CD ROM. Today oceanographers
have far more precise tools for measuring surface currents. Ships now navigate
using GPS (Global Positioning Satellites), not dead reckoning. Acoustic Doppler
enables ships to profile currents to a depth of several hundred meters. Still,
much of what oceanographers know about large-scale ocean circulation patterns
and about the velocity, kinetics, and seasonal variability of surface currents
and eddies are based on ship drift data.
These data, however, have drawbacks that have prompted many oceanographers
to question their continued usefulness given today’s technology. First,
the accuracy of these data depended on mariners’ abilities to precisely
determine their positions, speed, and direction. It is certain that they
made plenty of mistakes, introducing a large degree of random error into
the measurements.
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More importantly, the calculations assume
that currents are the only external forces altering each ship’s course.
They ignore the effects of wind and waves. (The Navy did discard data collected
during storms or heavy seas.)
Despite these drawbacks, Phil Richardson
of the Woods Hole Oceanographic Institution continues to find ship drift
data useful. He argues that the huge volume of measurements collected over
many years, especially along the established shipping lanes, lessens the
effects of random navigation errors. Disparate values cancel each other out.
He has also tackled the issue of wind. In a 1997 paper, he used theoretical
models and ship drift data from intersecting track lines in the tropical
North Atlantic to calculate the likely errors due to leeward winds (winds
blowing towards the side of the ship). He concluded that the effects of wind
are magnified in areas where the currents are weak. In regions where the
currents are stronger, wind has a much smaller overall effect on a ship’s
course. By applying these error calculations to the ship drift data, Phil
has improved their accuracy.
Phil has used ship drift data to provide him with overviews of ocean currents
in areas he has studied. To map the currents, he divides a region into grids
or bins then averages the velocity vectors within each bin. If data are plentiful
enough, he can calculate the seasonal or monthly averages as well. The Navy
has also developed atlases of currents from ship drift data. But instead
of averaging all of the vectors no matter which direction they point, they
average the vectors of the prevailing currents. Phil says for research purposes
he prefers to include all of the data in order to get a more comprehensive
picture of where the water is flowing.
One of Phil’s most successful uses of ship drift data was to study
seasonal variability in the equatorial currents in the Atlantic Ocean. These
currents are quite strong, but at the time not much was known about them.
In the 1980s, Phil and his colleagues, in cooperation with a team of French
scientists, sailed to the tropical Atlantic to deploy drifters. Before heading
out, Phil took a look at the ship drift data. He divided the area into 197
bins, each covering two degrees of latitude and five degrees of longitude,
and calculated the monthly average currents within each bin. Because of the
high volume of data (a total of 438,000 ship drift observations), he was
able to develop an excellent picture of the area currents that spanned all
seasons. By contrast, drifters only provided data over a limited timescale.
He then used these maps to help validate some models of the currents and
to help in the placement of buoys, which provide a more detailed picture.
By combining the ship drift observations with the drifter data, he and his
colleagues were able to develop and excellent understanding of the currents. |