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
· Artificial Intelligence for... · 0 citations