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Robotic drones are revealing secrets about nature’s deadliest hurricanes

Have you ever wondered why some hurricanes can turn from relatively mild storms into powerful storms in just one day? This process is called rapid intensification, and it’s one of the biggest challenges in hurricane forecasting.

Imagine living in a coastal town and bracing yourself for what will be a moderate tropical storm. Suddenly, within 24 hours, it becomes a Category 5 hurricane. That’s exactly what happened with Hurricane Otis in October 2023, taking many by surprise and causing widespread damage in Acapulco, Mexico.

This rapid change is not only frightening, it’s also becoming more and more common. So how can we better predict these sudden escalations? Enter Saildrone.

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Robot Drone (Sail drone)

Robot explorer sails into a hurricane

Imagine an empty sailing ship, packed with high-tech sensors to collect data on ocean and atmospheric conditions. Sail drone The Explorer. The drone comes in different sizes: 23, 33, and 65 feet.

These wind-propelled, solar-powered vehicles are designed to sail directly into hurricanes and collect vital data where it matters most, allowing scientists to measure the hurricane’s path and trajectory, as well as changes in the hurricane’s intensity over time.

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Robot Drone 2

A robot drone being lowered into the water (Sail drone)

What makes the Saildrone so special?

Unlike traditional research vessels, saildrones can stay at sea for months at a time, with the longest missions lasting more than a year. They are also much safer and more cost-effective than sending manned ships into dangerous storms.

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Robot drones being deployed (Sail drone)

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What data does the SailDrone collect?

So what information does this brave little drone collect? Everything from wind speed and direction to air and water temperature, wave height and even underwater currents. It’s like having a weather station, ocean buoy and underwater probe all in one package.

This data fills a critical gap in our understanding of hurricanes. Satellites can tell us where storms are, but they don’t tell us everything about what’s happening on the ocean’s surface and under the sea. SailDrone provides the missing piece of the puzzle, helping scientists create a more complete picture of how hurricanes form and intensify. This year’s SailDrone mission officially launched on August 7 and will run through the end of October.

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Deploying robot drones (Sail drone)

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Can saildrone data help improve hurricane forecasts?

This information is not only fascinating, it’s potentially lifesaving: NOAA scientists are using Saildrone data to improve hurricane forecasting models.

The goal? To better predict not just where hurricanes will go, but also how strong they’ll be, which is crucial for deciding whether coastal communities should evacuate. As one NOAA scientist puts it, “evacuating is a very expensive thing to do, to move millions of people somewhere.” Better predictions mean better decisions, which could save lives.

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Deploying robot drones (Sail drone)

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Beyond Sail Drones: A Multifaceted Approach

Saildrones are just one part of a larger strategy to improve hurricane forecasts: underwater gliders dive deep beneath the waves to collect data on ocean temperatures and currents, and famous “hurricane hunter” aircraft still fly directly into storms, providing valuable data from inside cyclones.

Combining these tools allows scientists to get a complete picture of a hurricane from 30,000 feet above the surface to thousands of feet below ocean surface.

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Important points about the cart

As climate change continues to impact hurricane patterns, the race is on to improve our prediction capabilities. Sail drones and other innovative technologies are giving us unprecedented insight into these powerful storms. While we cannot prevent hurricanes, improved understanding and prediction could help communities prepare, save lives and reduce damage. As we face an uncertain climate future, these marine robots may become our new best allies in the ongoing battle against nature’s most powerful storms.

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