Simpler Models Outperform Deep Learning in Climate Prediction
A study by MIT researchers shows that simpler, physics-based models can outperform complex deep-learning models in climate prediction, especially for regional temperature estimates, highlighting the importance of appropriate benchmarking and problem-specific modeling approaches in climate science.