paper
2022
Observations & remote sensing
Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels) Journal
2022-07-29
008
Jul 2022
Nirmala Bai Jadala, M. Sridhar, Venkata Ratnam Devanaboyina et al.
Vietnam Journal of Earth Sciences
Gaussian process regression outperforms neural networks in estimating GPS integrated water vapour from surface meteorology in Hyderabad, with correlation 0.93.
Assessment of machine learning techniques for prediction of integrated water vapor using meteorological data
In one sentence. Gaussian process regression outperforms neural networks in estimating GPS integrated water vapour from surface meteorology in Hyderabad, with correlation 0.93.
Labels
- Topic
- Observations & remote sensing
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.15625/2615-9783/17373 OpenAlex:W4288713040
- Added
- 2026-10-22
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