paper
2023
Local & station forecasting
New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2023-01-01
004
Jan 2023
V. Bibin Christopher, R. Isaac Sajan, T. S. Akhila et al.
International Journal of Global Warming
LightGBM gradient boosting forecasts daily Seattle precipitation and temperatures from 1948–2017 station records, claimed to outperform other boosting methods.
Prediction of weather using high-performance gradient boosting
In one sentence. LightGBM gradient boosting forecasts daily Seattle precipitation and temperatures from 1948–2017 station records, claimed to outperform other boosting methods.
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
- DOI:10.1504/ijgw.2023.133219 OpenAlex:W4386394509
- Added
- 2026-10-22
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