Accelerating Climate Action: Integrating Science, Mitigation, and Adaptation with Machine Learning

This policy brief emphasizes the urgent global threat of climate change, with a focus on the critical axes of action such as climate science, mitigation, and adaptation. With the Earth already warming over 1 degree Celsius, immediate action is crucial to limit global warming and avoid catastrophic consequences. The United Nations Intergovernmental Panel on Climate Change stresses the need for achieving net-zero greenhouse gas emissions by 2050, requiring transformative changes across various sectors. The brief highlights the importance of understanding and addressing climate risks, with a focus on both magnitude and probability assessments. Additionally, it underscores the significance of climate justice and the co-benefits framework in ensuring equity and a holistic approach to climate action. Integration of machine learning is explored as a vital supplementary tool to enhance climate modelling accuracy, optimize mitigation strategies, and facilitate real-time adaptation responses, contributing to more efficient and timely decision-making. 

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