paper
2023
Observations & remote sensing
Downscaling & super-resolution New model or method
Classical ML (trees, GP, linear, kernels) Journal
2023-10-20
012
Oct 2023
Yongchao Ma, Tong Liu, Zhibin Yu et al.
Atmospheric Research
Fuses multiple data sources with machine-learning spatial downscaling to reconstruct all-weather precipitable water vapour maps; no abstract available, so results are unverified.
All-weather precipitable water vapor map reconstruction using data fusion and machine learning-based spatial downscaling
In one sentence. Fuses multiple data sources with machine-learning spatial downscaling to reconstruct all-weather precipitable water vapour maps; no abstract available, so results are unverified.
Labels
- Topic
- Observations & remote sensing, Downscaling & super-resolution
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Satellite, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1016/j.atmosres.2023.107068 OpenAlex:W4387826386
- Added
- 2026-10-22
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