Evaluation of AI Climate Models

Description

Understanding and improvement of AI models will require a broad set of evaluation metrics. These should include and expand upon the rich set of metrics that have been used in physics-based model development. Existing open-source climate model evaluation tooling will therefore need to be applied to both Machine Learning (ML) and physics-based models. This call invites proposals to deliver capability enhancements to the open-source climate model evaluation tool ESMValTool, with a focus on enabling the comparison of AI and physics-based models, understanding the suitability of physics-based models for training AI models, and enabling this tooling to interface to the next generation of data formats and platforms that will be used for hosting model and observation data. Keywords: Research, Evaluation of AI Climate Models