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Maximilian Pierzyna

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Aug 2026

S2G Deep Interpolation: A Deep Learning Framework for Generating High-Resolution Wind Gust Fields from Sparse Mesonet Observations

This study proposes a deep learning–based framework, called Sparse-to-Gridded Deep Interpolation (S2G-DI), to generate high-resolution spatially continuous fields from sparse surface observations that captures both spatial structure and intensity more reliably than traditional methods.

H. Baki, Maximilian Pierzyna, S. Basu · 0 citations

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