Interpretable Machine Learning Techniques for Enhancing Weather and Climate Prediction Accuracy and Transparency
Interpretable machine learning techniques are crucial for enhancing the credibility, utility, and scientific insights of weather and climate prediction models by providing transparency into their decision-making processes.