Danielle Montagne

Danielle Montagne is a data and climate scientist specializing in physical climate risk modeling and probabilistic portfolio risk analytics at S&P Global Energy. Her work focuses on developing climate-driven hazard models and translating them into scalable risk analytics, using high-performance and accelerated computing outputs. She holds a PhD in sociology from Duke University, bringing an interdisciplinary perspective to climate science, data, and risk assessment.
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Posts by Danielle Montagne

A global image showing weather patterns.
Simulation / Modeling / Design

How to Unlock Local Detail in Coarse Climate Projections with NVIDIA Earth-2

Global climate models are good at the big picture—but local climate extremes, like hurricanes and typhoons, often disappear in the details. Those patterns are... 12 MIN READ