AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The model, Laxmi, improves global probabilistic accuracy by 19% and resolves systematic distributional biases in ERA5 and mitigates extreme rainfall underprediction, improving the global 95th percentile Brier skill score by 57%.
Past evaluation of artificial intelligence (AI) weather prediction has primarily relied on reanalyses, which can obscure important deficiencies due to prevailing biases in reanalyses themselves. Here, we present MAUSAM (Measuring AI Uncertainty during South Asian Monsoon), an evaluation of seven leading AI‐based predic...
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