Statistical Downscaling of Temperature Distributions from the Synoptic Scale to the Mesoscale Using Deep Convolutional Neural Networks.
Tsuyoshi Thomas SekiyamaPublished in: CoRR (2020)
Keyphrases
- convolutional neural networks
- convolutional network
- gaussian markov random fields
- scale space
- statistical analysis
- data driven
- learning algorithm
- small scale
- deep learning
- statistical inference
- image structure
- statistical methods
- random variables
- bayesian networks
- multi layer
- scale invariant
- statistical information
- information theory
- electric field
- high temperature
- probability distribution