SpatialDownscaling: Methods for Spatial Downscaling Using Deep Learning
- 26 January 2026
- dataset
- Published by The R Foundation
Abstract
No abstract availableThis publication has 4 references indexed in Scilit:
- Time-aware UNet and super-resolution deep residual networks for spatial downscalingarXiv, 2025
- Deep Learning for Daily Precipitation and Temperature DownscalingWater Resources Research, 2021
- U-Net: Convolutional Networks for Biomedical Image Segmentation2015
- Hydrologic Implications of Dynamical and Statistical Approaches to Downscaling Climate Model OutputsClimatic Change, 2004