Climate Science and
AI-Assisted Earth Futures

What the Data Tells Us
Decades of global observations show a clear and accelerating signal: average temperatures are increasing, heat extremes are becoming more frequent, and the natural systems that absorb carbon are weakening.
At the same time, sea levels continue to rise as oceans warm and ice sheets lose mass. These trends are not isolated. Together, they point to a climate system under increasing strain.
Carbon emissions
+8.5%
924.5t
Updated: 30-01-2026 | 10:29 GMT
When Systems Shift, Risks Multiply
#climate
Machine learning tools help analyse vast datasets from satellites, sensors, and models, revealing patterns that are difficult to detect with traditional methods alone.
These approaches improve climate and weather models, enhance early warning systems, and enable near real-time monitoring of Earth’s changing systems.
From Insight to Action
Understanding climate risk is the first step. Turning insight into resilience requires collaboration between climate science, AI, and world leaders, alongside decision-making that’s grounded in evidence and guided by responsibility.
Further Reading
Selected scientific sources underpinning the visualisations and models featured on this site:
IPCC AR6 Synthesis Report (2023)
Global Carbon Budget (latest release)
AI for Climate Modelling - Nature Geoscience
Machine Learning for Weather Prediction - Nature
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