Research projects

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AI for smart conservation

In the AI for smart conservation project, BAS are collaborating with local ecologists and conservation agencies to develop decision-making tools informed by sea ice forecasts. By combining satellite observations, GPS …

Autonomous Marine Operations Planning - Dall-e 3 Logo

AMOP – Autonomous Marine Operations Planning

AMOP is developing Artificial Intelligence methods that aim to optimise the efficiency of Antarctic field operations, while maximising science delivery

A small house in front of a building

CANARI

Extreme weather events can have substantial impacts. For instance: the extensive UK flooding during the stormy winters of 2013/14 and 2015/16 resulted in £3 billion of damage to property and …

Ice core data showing CO2 (yellow) and temperature going back 800,000 years

DI4EDS

Environmental research relies on digital infrastructure (hardware, software and methods) to provide services that help researchers answer questions about the environment around us, and innovators to work out ways that …

AI Lab - Digital Twin of the Polar Region

Digital Twins of the Polar Regions

Digital Twinning is next generation technology for data fusion and computer modelling enabling us to rapidly get answers to “what-if” questions. Digital Twins (DTs) are already in operation in industry …

GIANT

GIANT is a pioneering science project that will test the potential for early warning of a critical climate tipping point.

Ice on water in a melt pond

IceNet

IceNet is a probabilistic, deep learning sea ice forecasting system developed by an international team and led by British Antarctic Survey and The Alan Turing Institute [Andersson et al., 2021]. …

A man that is standing in the snow.

LPM Network

Access data from the Low Power Magnetometer (LPM) network

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QUASAR

QUASAR uses AI to improve Antarctic sea ice measurements from satellites, making climate data more reliable for scientists tracking changes in polar regions.