- Article
Development of a Machine Learning Framework to Aid Climate Model Assessment and Improvement: Case Study of Surface Soil Moisture
- Francisco Andree Ramírez Casas,
- Laxmi Sushama and
- Bernardo Teufel
The development of a computationally efficient machine learning-based framework to understand the underlying causes for biases in climate model simulated fields is presented in this study. The framework consists of a two-step approach, with the first...

