TDY

The hidden world beneath the ice?

A glimpse into the hidden world beneath Antarctica's glaciers, and the connection to marine technology and data analysis companies.

By the SpyStocks desk · 3mo ago · 4 min read

The hidden world beneath the ice?

Let's talk about a new and fascinating field you might not have known about – until now...

A field that combines cutting-edge technology with the exploration of the most challenging environment on Earth.

It all begins with the story of the autonomous research submarine Ran, which embarked on a mission in one of the least explored places in the world:

Beneath Antarctica's Dotson Ice Shelf.

For 27 consecutive days, the submarine dove in complete darkness...

It traveled a distance of more than 1,000 kilometers beneath ice layers hundreds of meters thick, sending scientific data never seen before (!)

Ran's scans revealed a "sub-glacial landscape" that appeared alien and mysterious,

with enormous steps, unnaturally smooth surfaces – deep depressions and winding channels.

Just to give you an idea of the scale:

Some of the pits observed in the giant glaciers are almost 1000 feet long and 164 feet deep,

Scientists estimate that these phenomena are caused by warm water penetrating beneath the ice and melting it unevenly.

But the complexity revealed is far greater than what existing scientific models have been able to predict until now.

Simply a new phenomenon of warm water flowing beneath the surface of the glaciers – into the glaciers, something that is still not clearly understood.

After it began documenting this complex mission – the submarine simply disappeared.

Contact was lost, and there are currently no clear answers regarding its fate in the depths...

But wait, how is this relevant to us?

It's important to understand that ice shelves are essentially our last line of defense – they are what slow the flow of massive glaciers into the oceans.

If they weaken or collapse – the rate of global sea level rise could accelerate significantly...

Which makes this research critical for the future of the entire planet.

Satellite images above the massive ice shelf revealed that this glacier is losing 12 meters per year!

And now – with the discovery of this new phenomenon in the deep sea, scientists are beginning to understand that what they've seen until now – might be nothing compared to what's happening underwater...

The submarine revealed a phenomenon of giant cracks in the ice shelves – a data point whose future effects algorithmic models cannot yet calculate...

This reality reveals a hidden world to us where fateful processes are occurring –

If this field becomes a focus of interest and significant budgets are allocated to it – it's worth knowing the companies leading the technology required for such research:

Marine and autonomous technology

Teledyne Technologies ($TDY): The company has the most direct exposure to the field of autonomous underwater vehicles,

It provides the most advanced sonar and sensors that enable navigation and mapping in harsh conditions.

General Dynamics ($GD): A defense giant that operates marine systems divisions and has deep involvement in underwater defense.

Huntington Ingalls Industries ($HII): A company specializing in building complex vessels and investing significant resources in marine autonomy technologies.

Sensors – sonar and mapping

Garmin ($GRMN) and Kraken Robotics Inc ($KRKNF): Two leading companies in marine navigation systems and professional sonar, used for identifying structures and changes underwater.

Trimble ($TRMB): Provides geospatial data solutions and precise measurements, which are essential for creating scientific models of changing surfaces.

Space monitoring and data analysis

Planet Labs ($PL): A company that operates a satellite network for daily monitoring of changes on Earth's surface, allowing tracking of glacier conditions from above.

Palantir ($PLTR): As more data is collected from sensors and submarines, the need for powerful AI tools increases,

Palantir specializes in analyzing complex governmental and scientific data to extract insights from these enormous amounts of information.

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