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Forecasting Tipping Points

Backed by £81m, this programme sits within the Scoping Our Planet opportunity space and aims to enhance our climate change response by developing an early warning system for tipping points.

Our goal

This programme aims to create an early warning system for climate tipping points that equips the world with the information we need to build resilience and accelerate proactive climate adaptation.

We’re focusing our efforts on two critical systems: the Greenland ice sheet and the subpolar gyre. If these interconnected systems were to cross a tipping point – a threshold of irreversible change – the consequences for biodiversity, food security, agriculture, and wider society would be severe.

Despite the potential impact, we’re poorly equipped to characterise the long-term trends of our climate systems, or predict the future risk of runaway, self-perpetuating change. Our best observational datasets are at a nascent stage, while our best climate models are computationally expensive and do not capture all the physical processes.

We’re bridging this gap by funding interdisciplinary teams to develop a proof-of-concept for an early warning system for climate tipping points that is affordable, sustainable and justified.

We’ll achieve this through a targeted deployment of low-cost sensing systems – from the ocean floor to the upper atmosphere – tested in a multi-year field campaign. Crucially, we are unifying these observations with predictions. By integrating new data with advances in physics- and AI-driven models, we aim to better predict when a system will tip, what the consequences will be, and how quickly that change will unfold.

 

Read the programme thesis (English)

Read the programme thesis (Kalaallisut)

Read the accessible version of the programme thesis


*This page will be available in Greenlandic soon.

Entering the next phase of the programme

After a year of delivery and in anticipation of a second funding call in September 2026, we’re keen to hear thoughts from our wider community on where we are now and where we should be going next.

Give feedback
A team of scientists and crew members deploy an underwater glider in Antarctica.

Explore the funded projects

We’re bringing together teams of experts in climate science, optics, computer science, mathematics, statistics, and nuclear physics – spanning startups, academia, and non-profit R&D organisations – to define and detect the earliest signs of climate tipping points.

Discover more
Some of the Forecasting Tipping Points programme team posing for a group photo in Greenland

Accelerating towards impact

Explore the ways we’re laying the groundwork for the future sustainability and impact of the programme, including ensuring the data that underpins a future early warning system is trustworthy, engaging with decision-makers to understand what they would need from an early warning system, and building a research ecosystem that is as resilient as the systems we hope to protect.

Learn more

Meet the programme team

Our Programme Directors are supported by a core team that provides a blend of operational coordination and highly specialised technical expertise.

A photo of Sarah Bohndiek and Gemma Bale

Gemma Bale + Sarah Bohndiek

Programme Directors

Gemma Bale and Sarah Bohndiek are biomedical physicists working as co-Programme Directors. They both joined ARIA from the University of Cambridge, where Gemma continues to lead teams working on non-invasive brain monitoring, and Sarah in optical imaging technology for earlier cancer detection.

A photo of Jess Humphreys, the Scoping Our Planet P-Spec

Jess Humphreys

Programme Specialist

Prior to working with ARIA, Jess built a career innovating clinical trial management at tech SMEs, where she led teams developing interactive response technology platforms to streamline trial processes, and oversaw global data management and quality control at neuroimaging facilities. Jess supports ARIA as an operating partner from Pace.

A photo of the Scoping Our Planet T-Spec, Dan Giles

Dan Giles

Science + Technology Lead

Dan has a diverse academic background in applied mathematics, statistics, and computer science, with a focus on developing and enhancing ocean and atmospheric models. He joined ARIA from University College London, where he is a Senior Research Fellow in machine learning for weather and climate sciences.

Featured insights

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In Scoping Our Planet, we seek to unite frontier platforms, sensors, and AI models to revolutionise our understanding of our Earth system, maximise planetary resilience and revolutionise global business.

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This programme aims to develop low-cost, persistent, and autonomous atmospheric platforms.

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