Wave Glider Robot Takes On the Final Frontier in Hurricane Prediction

Liquid Robotics launches a Wave Glider to improve forecasts of hurricane intensity.

2 min read
Wave Glider Robot Takes On the Final Frontier in Hurricane Prediction

Hurricane prediction has come a long way since 2005’s Hurricane Rita missed its predicted target—Houston—entirely. Thanks to improvements in the way hurricane models measure and incorporate winds high up in the atmosphere, forecasters have a pretty good sense as far as three days ahead of time as to where a hurricane is heading; that’s why, today, evacuation orders have been issued for areas around New Orleans in advance of Hurricane Isaac.

Where the forecasts have barely improved in the last ten years or so is in their predictions of intensity. Will Isaac continue to progress as a tropical storm, as it has in recent days, or jump up the hurricane intensity charts? Today, forecasters are speculating that it might grow to a Category 2 storm, but nobody really knows for sure.  And take last year’s Irene, widely feared to be an extremely powerful storm: it made landfall as a Category 1 (though its rains still did considerable damage). Whether a coming storm is going to be a Category 1, 2, 5, or a hurricane at all obviously matters a great deal to those in its path.

A few weeks ago, a little robot name Alex was launched from the coast of Puerto Rico as part of an effort to improve forecasters' ability to predict hurricane magnitude. Alex, a Wave Glider robot funded by its maker, Liquid Robotics, and operated under the guidance of the U.S. National Oceanographic and Atmospheric Administration (NOAA), is measuring ocean temperatures. Understanding water temperature is key to determining whether a hurricane will gather strength or fall apart, but the surface temperature data gathered by today’s satellites and airplanes is of limited use. Because storm winds and waves churn down below the surface, what’s going on a few meters down has as much impact on a developing storm than what’s just on the surface. Wave Glider Alex will be

measuring temperatures down to a depth of 7 meters—enough, its makers hope, to make huge improvements in ocean temperature data. Alex is the 100th Wave Glider built by Liquid Robotics; others are crossing the Pacific and working in fisheries and offshore oil fields.

Along with the temperature sensors, Alex carries a weather station that gathers wind, barometric pressure, and other standard measurements, plus a wave sensor that tracks direction, height, and other wave features. Alex is currently roaming the ocean north of Puerto Rico. Though it was not directly in the path of Hurricane Isaac, it did weather high winds and waves on Isaac’s fringes. As the Atlantic hurricane season progresses, it’s likely that Alex will find itself in a hurricane at some point this autumn.

While the data gathered by Alex won’t be used in operational forecasts—that is, the NOAA forecasts used to determine hurricane watches and warnings—it will be tested. Hurricane models will be run with and without data from Alex to see what, if any, improvement the new data offers, explains Ed Lu, chief of innovative applications for Liquid Robotics. “If this works as well as we think it might,” Lu says, “that’ll be a strong case for putting a lot of these systems out in the oceans.”

Follow me on Twitter @Tekla Perry.

 

Photo top: Hurricane Isaac’s path. Credit: National Hurricane Center

Photo center: Wave Glider Alex in the ocean near Puerto Rico. Credit: Liquid Robotics

The Conversation (0)

Asad Madni and the Life-Saving Sensor

His pivot from defense helped a tiny tuning-fork prevent SUV rollovers and plane crashes

11 min read
Vertical
Asad Madni and the Life-Saving Sensor

In 1992, Asad M. Madni sat at the helm of BEI Sensors and Controls, overseeing a product line that included a variety of sensor and inertial-navigation devices, but its customers were less varied—mainly, the aerospace and defense electronics industries.

And he had a problem.

The Cold War had ended, crashing the U.S. defense industry. And business wasn’t going to come back anytime soon. BEI needed to identify and capture new customers—and quickly.

Keep Reading ↓Show less
{"imageShortcodeIds":[]}