CFAN

CFAN refers to the Climate Feedback Assessment Network. This is a global initiative focused on evaluating the accuracy and reliability of climate models. The network brings together climate scientists, model developers, and data analysts to systematically assess how well current climate models represent observed climate phenomena and predict future climate change.

The primary goal of CFAN is to improve the confidence in climate projections by identifying strengths and weaknesses in various modeling approaches. This is achieved through rigorous comparison of model outputs against historical climate data, paleoclimate records, and a range of observational datasets. CFAN also facilitates the development of standardized evaluation protocols and metrics to ensure consistency and comparability across different models and research groups.

By fostering collaboration and transparent evaluation, CFAN aims to provide a clearer understanding of the uncertainties associated with climate modeling. This information is crucial for policymakers, scientists, and the public to make informed decisions regarding climate change mitigation and adaptation strategies. The network contributes to the broader scientific understanding of the Earth's climate system and the development of more robust climate prediction tools.