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Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models

CORDIS · observation · Publication date unknown

Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models Global warming continues at an alarming rate, presenting unprecedented challenges to society that require urgent, science-led mitigation and adaptation. Earth system models (ESMs) are essential tools for projecting climate change, providing important information to decision makers. However, confidence in predicted climate change is undermined by a number of uncertainties; (i) ESMs disagree on how much the Earth will warm for a given increase in atmospheric carbon dioxide (CO2) (Earth’s equilibrium climate sensitivity); (ii) how much emitted CO2 will stay in the atmosphere to warm the planet (half the CO2 emitted by humans has been absorbed by the land and ocean) and (iii) how much excess heat in the Earth system will enter the ocean interior, delaying surface warming

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recordType

award

status

SIGNED

region

EU

value

7135788.75

unit

EUR