I’m passionate about applying data-driven methods to climate and weather forecasting.
Here you’ll find posts exploring recent research in the field, model architectures, key datasets, and the challenges and opportunities at the intersection of machine learning and Earth science.
Posts
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DLESyM Output Analysis
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Exploring the Latent Space of Aurora’s Encoder
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Aurora: Microsoft’s Foundational Data-Driven Weather Model
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Foundational Deep Learning Models for Global Weather Forecasting: A Review
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Digging Into AI Forecasts: Are They Physically Sound?
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Understanding Graph Neural Networks
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What Are Data-Driven Weather Models and Why Do They Matter?
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