paper
2020
Extremes & hazards
Sub-seasonal to seasonal New model or method
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2020-06-01
008
Jun 2020
Young In Kim, Donghyun Kim, Seung Oh Lee
Journal of Korean Society of Disaster and Security
Applies machine learning to predict summer temperatures and heat wave occurrence in Korea at seasonal lead; abstract unavailable, so judged from the title only.
Prediction of Temperature and Heat Wave Occurrence for Summer Season Using Machine Learning
In one sentence. Applies machine learning to predict summer temperatures and heat wave occurrence in Korea at seasonal lead; abstract unavailable, so judged from the title only.
Labels
- Topic
- Extremes & hazards, Sub-seasonal to seasonal
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.21729/ksds.2020.13.2.27 OpenAlex:W3109142465
- Added
- 2026-10-22
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