2 papers
physics.ao-ph2026
On the Limits of Univariate Deep Learning for Significant Wave Height Forecasting
Yilin Zhai, Hongyuan Shi, Zaijin You
This study conducts a systematic hyperparameter search across five deep learning architectures, DLinear, LSTM, PatchTST, ResAttLstm, and Mamba2, and nine context lengths (1-168 h)…
eess.SP2025
AUWave: A Data-Driven Model for Reconstructing Significant Wave Heights Using Sparse Observations
Hongyuan Shi, Yilin Zhai, Ping Dong +3
Reconstructing high-resolution regional significant wave height (SWH) fields from sparse buoy observations is a critical challenge for ocean monitoring. We introduce AUWave, a hybr…