paper
2023
Local & station forecasting
Climate analysis & attribution Application study
Classical ML (trees, GP, linear, kernels) Journal
2023-06-07
008
Jun 2023
Md Hibjur Rahaman, Tamal Kanti Saha, Md Masroor et al.
Modeling Earth Systems and Environment
Non-parametric trend tests and machine learning models analyze and forecast meteorological variables in the Thoubal river watershed, India; the abstract is missing.
Trend analysis and forecasting of meteorological variables in the lower Thoubal river watershed, India using non-parametrical approach and machine learning models
In one sentence. Non-parametric trend tests and machine learning models analyze and forecast meteorological variables in the Thoubal river watershed, India; the abstract is missing.
Labels
- Topic
- Local & station forecasting, Climate analysis & attribution
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1007/s40808-023-01799-y OpenAlex:W4379619248
- Added
- 2026-10-22
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