paper
2019
Downscaling & super-resolution
Hybrid physics-ML & parameterization New model or method
CNN / U-Net Journal
2019-01-15
022
Jan 2019
Baoxiang Pan, Kuolin Hsu, Amir AghaKouchak et al.
Water Resources Research
CNN predicts daily precipitation at 14 US grid points from resolved dynamics, outperforming reanalysis and linear, forest and dense-network baselines.
Downscaling & super-resolution
Improving Precipitation Estimation Using Convolutional Neural Network
In one sentence. CNN predicts daily precipitation at 14 US grid points from resolved dynamics, outperforming reanalysis and linear, forest and dense-network baselines.
Labels
- Topic
- Downscaling & super-resolution, Hybrid physics-ML & parameterization
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- ERA5 / reanalysis, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1029/2018wr024090 OpenAlex:W2909984890
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.