paper
2020
Local & station forecasting
New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2020-11-01
004
Nov 2020
Razeef Mohd, Abeena Mohi-u-din Azad, Anwaar Ahmad Wani et al.
Solid State Technology
Naive Bayes classifier predicts daily precipitation for Srinagar from five selected weather attributes, reported as accurate against observed station data.
A Prognostic Approach For Precipitation Forecast Using Naive Bayes Algorithm
In one sentence. Naive Bayes classifier predicts daily precipitation for Srinagar from five selected weather attributes, reported as accurate against observed station data.
Labels
- Topic
- Local & station forecasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- OpenAlex:W3111839714
- Added
- 2026-10-22
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