paper
2026
Observations & remote sensing
Post-processing & calibration New model or method
CNN / U-NetColorado State University (incl. CIRA)NOAA (incl. GFDL, PSL, GSL, NCEP/EMC) Journal
2026-01-01
047
Jan 2026
Liping Wang, Haonan Chen, Yun-Lan Chen et al.
IEEE Transactions on Geoscience and Remote Sensing
Colorado State University (incl. CIRA), NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)
Deep CNN bias correction of CMORPH and IMERG over Taiwan reduces mei-yu season relative bias from about -46% to 3% for CMORPH.
An Improved Convolutional Neural Network for Bias Correction of Satellite Precipitation Products: Demonstration in Complex Terrain Regions Over Taiwan
In one sentence. Deep CNN bias correction of CMORPH and IMERG over Taiwan reduces mei-yu season relative bias from about -46% to 3% for CMORPH.
Labels
- Topic
- Observations & remote sensing, Post-processing & calibration
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- Satellite, Radar
- Status
- Research
- Identifiers
- DOI:10.1109/tgrs.2026.3695366 OpenAlex:W7161832379
- Added
- 2026-10-22
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