Coupled Model Intercomparison Project

The Coupled Model Intercomparison Project (CMIP) facilitates the coordinated analysis of global climate models, aiming to improve understanding and prediction of Earth's climate system. Current research focuses on enhancing model accuracy, particularly in representing extreme weather events and spatial variability, employing techniques like deep learning (e.g., GANs, UNet++), advanced statistical methods (e.g., Wasserstein distance), and novel bias correction approaches. These advancements are crucial for refining climate projections, improving the reliability of climate-related risk assessments, and informing adaptation and mitigation strategies across various sectors.