SciTransfer
POLARIN · Project

Global Polar Research Network for Climate Data and Infrastructure Access

environmentTestedTRL 5

Imagine trying to study the world's most remote freezers, but you don't have the keys or the right tools to get inside. This project creates a shared 'membership club' for scientists to use icebreakers, research stations, and deep-sea sensors. It makes it easier to share the data collected from these frozen frontiers so we can predict how melting ice affects the rest of the planet.

By the numbers
14,588,114
EU Contribution in EUR
55
Total partners
25
Countries involved
The business problem

What needed solving

Polar regions are critical for global climate but are extremely difficult and expensive to reach. Businesses lack reliable, integrated data on ice loss and ocean changes needed for evidence-based decision making.

The solution

What was built

An international network of research stations, icebreakers, and data repositories. Key outputs include a graphic products package and a gap analysis for various audiences.

Audience

Who needs this

Arctic shipping companiesClimate risk analystsEnvironmental impact consultantsSustainable resource developers
Business applications

Who can put this to work

Maritime Logistics
enterprise
Target: Arctic shipping and navigation firms

If you are a shipping company dealing with unpredictable ice movements in the North—this project developed a network of icebreakers and observatories that provides critical data on polar transitions. This helps in planning safer and more efficient routes through changing polar waters.

Environmental Consulting
mid-size
Target: Climate risk assessment firms

If you are a consultancy dealing with climate impact forecasting for clients—this project developed integrated data products and virtual access to polar repositories. This allows you to use evidence-based information to provide more accurate risk predictions for global markets.

Resource Extraction
enterprise
Target: Sustainable mining and energy companies

If you are an extraction company dealing with the hunt for new resources in fragile zones—this project developed a coordinated infrastructure network. This provides the necessary environmental baseline data to ensure operations comply with polar protection standards.

Frequently asked

Quick answers

What is the cost to access these services?

Based on available project data, the EU is contributing EUR 14,588,114 to build the network, but specific pricing for commercial users is not listed.

Is this available at an industrial scale?

The project operates as a network of 55 partners across 25 countries, utilizing a wide array of research vessels, icebreakers, and stations, indicating a large-scale international infrastructure.

How is the IP and licensing handled for the data?

The project focuses on improving data availability, interoperability, and providing virtual access to data services, though specific licensing terms are not detailed in the provided text.

What is the timeline for the availability of these data products?

The project runs from 2024-03-01 to 2029-02-28, with specific graphic products and gap analysis updates scheduled for M24 and M33.

How can a company integrate this data into their own systems?

The project aims to improve interoperability between data infrastructures and provide virtual access to data services to facilitate easier integration for users.

Consortium

Who built it

The consortium is heavily weighted toward research and academia, featuring 22 research organizations and 18 universities. However, the inclusion of 5 industry partners and 1 SME across 25 countries suggests a strong international reach and a bridge between pure science and practical application. The coordination by the Alfred Wegener Institute ensures the network is led by a top-tier polar research entity.

How to reach the team

Contact the Alfred Wegener Institute (AWI) in Germany

Next steps

Talk to the team behind this work.

Contact SciTransfer to identify specific data products from the POLARIN network for your climate risk model.

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