14 citations as recorded by crossref.

1. Evaluating machine‐learning models for wind‐speed downscaling from ECMWF‐IFS data W. Ericson et al. https://doi.org/10.1002/qj.5063
2. LSTM and Transformer-based framework for bias correction of ERA5 hourly wind speeds F. Houndekindo & T. Ouarda https://doi.org/10.1016/j.energy.2025.136498
3. Postprocessing of convection permitting precipitation forecast using UNets M. Esquivel-González et al. https://doi.org/10.1016/j.ecoinf.2025.103255
4. A 1 km hourly high-resolution 3D wind field dataset over the Yangtze River Delta incorporating dynamical downscaling, observational assimilation, and land use updates Z. Zhang et al. https://doi.org/10.5194/essd-18-1683-2026
5. Super-resolution downscaling of WRF-based typhoon wind fields over complex coastlines using a decoupled physics-guided U-Net X. Zhang et al. https://doi.org/10.1080/19475705.2026.2707747
6. Enhanced Wind Field Spatial Downscaling Method Using UNET Architecture and Dual Cross-Attention Mechanism J. Liu et al. https://doi.org/10.3390/rs16111867
7. Research and Application of a Model Selection Forecasting System for Wind Speed and Theoretical Power Generation M. Zeng et al. https://doi.org/10.3390/fi18010007
8. Reconstructing fine-scale 3D wind fields with terrain-informed machine learning C. Lin et al. https://doi.org/10.1038/s41467-026-70562-5
9. Temporal Gradient Attention Residual Vector-Driven Fusion Network for Wind Direction Prediction M. Maruthi et al. https://doi.org/10.3390/app16073337
10. Machine Learning for Wind Pattern Estimation at Data-Scarce Coastal Ports: A Comparative Study Using Real Measurements A. Giannopoulos et al. https://doi.org/10.3390/jmse13122375
11. On the phenomena-oriented validation of spatial neural-network based surface wind downscaling over the Arctic seas V. Rezvov et al. https://doi.org/10.3389/fmars.2026.1765713
12. SNOWstorm (v1.0) – a deep-learning based model for near-surface winds and drifting snow in mountain environments M. Saigger et al. https://doi.org/10.5194/gmd-19-6497-2026
13. Ten questions concerning urban wind environments for the safe utilization of urban air mobility H. Jia et al. https://doi.org/10.1016/j.buildenv.2025.114136
14. Bias correction of superficial circulation with CNN-LSTM and HF-Radar data in Southwest South Atlantic F. Barreto et al. https://doi.org/10.1016/j.csr.2026.105760