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20232026
most citedUncertainty Quantification of Wind Gust Predictions in the Northeast United States: An Evidential Neural Network and Explainable Artificial Intelligence Approach

9 citations · 16 across the 12 of their papers we have counts for

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physics.data-an2026

Toward a Scientific Discovery Engine for Weather and Climate Data: A Visual Analytics Workbench for Embedding-Based Exploration

Nihanth W. Cherukuru, Matt Rehme, Kirsten J. Mayer +4

Earth system science is producing increasingly large, high-dimensional datasets from both physics-based and AI-driven models. While embedding-based representations make these data…