Downscaling daily wind speed with Bayesian deep learning for climate monitoring

Earth and Planetary Sciences

• Wind Velocity 100%
• Downscaling 100%
• General Circulation Model 80%
• Climate Change 60%
• New Jersey 20%
• Pennsylvania 20%
• United States of America 20%
• Spatial Resolution 20%
• Risk Management 20%
• Uncertainty Modeling 20%
• Natural Hazard 20%

Computer Science

• Convolutional Neural Network 100%
• Deep Learning 100%
• Experimental Result 50%
• Spatial Resolution 50%
• Learning Framework 50%
• Risk Management 50%
• Regional Level 50%

Keyphrases

• Daily Mean Wind Speed 100%
• Stacked Transformer 25%
• Multi-head Convolutional Neural Network 25%
• Wind Speed Projections 25%
• Wind Station 25%
• Disaster Risk Management 25%