paper
2023
Observations & remote sensing
New model or method
Classical ML (trees, GP, linear, kernels) Journal
2023-09-14
008
Sep 2023
Hadeer Al-Eshmawy, Mohamed Amin Abdelfatah, Gamal El-Fiky
Journal of Applied Geodesy
An ANN estimates precipitable water vapour over Egypt from surface meteorology, reaching RMS 0.21 mm and outperforming eight empirical models including ERA5.
A proposed neural network model for obtaining precipitable water vapor
In one sentence. An ANN estimates precipitable water vapour over Egypt from surface meteorology, reaching RMS 0.21 mm and outperforming eight empirical models including ERA5.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Station / in-situ, ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.1515/jag-2023-0035 OpenAlex:W4386735689
- Added
- 2026-10-22
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