Hybrid Swin Transformer–U-Net Improves Subseasonal Maritime Wind Forecasts in China's Coastal Waters

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: dianhewen Liu, Wenyu Huang, Y LIU, Deliang Chen, Danyi Sun, Shuang Han, Haohuan Fu
DOI: 10.5281/zenodo.19663923
Cited by: 1

Abstract

This Zenodo release provides the TDSwin-UnetSS model code, training script, pretrained model weights, README file, and processed data associated with the manuscript “Hybrid Swin Transformer–U-Net Improves Subseasonal Maritime Wind Forecasts in China’s Coastal Waters.”

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 May 2026