paper
2025
Downscaling & super-resolution
Observations & remote sensing New model or method
GAN or VAEColorado State University (incl. CIRA) Journal
2025-01-01
022
Jan 2025
Yongxin Liu, Haonan Chen
IEEE Transactions on Geoscience and Remote Sensing
Colorado State University (incl. CIRA)
PrecipSRGAN uses a GAN with elevation data to downscale CMORPH satellite precipitation from 8 km to 4 km, reaching correlation 0.74 versus 0.41 for interpolation.
Downscaling & super-resolution
PrecipSRGAN: A Machine Learning Model for Satellite Precipitation Downscaling
In one sentence. PrecipSRGAN uses a GAN with elevation data to downscale CMORPH satellite precipitation from 8 km to 4 km, reaching correlation 0.74 versus 0.41 for interpolation.
Labels
- Topic
- Downscaling & super-resolution, Observations & remote sensing
- Type
- New model or method
- Method
- GAN or VAE
- Domain
- Regional
- Data
- Satellite, Radar, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1109/tgrs.2025.3625154 OpenAlex:W4415594429
- Added
- 2026-10-22
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