paper
2018
Observations & remote sensing
New model or method
Classical ML (trees, GP, linear, kernels) Preprint
2018-12-01
008
Dec 2018
Daehyeon Han, Young Jun Kim, Jungho Im et al.
Scholarworks@UNIST (Ulsan National Institute of Science and Technology)
Random forest and SVM estimate summer Arctic air temperature from AMSR2 microwave data and buoys, reaching R² of 0.84–0.88 and RMSE of 1.31–1.53 °C.
The Estimation of Arctic Air Temperature in Summer Based on Machine Learning Approaches Using IABP Buoy and AMSR2 Satellite Data
In one sentence. Random forest and SVM estimate summer Arctic air temperature from AMSR2 microwave data and buoys, reaching R² of 0.84–0.88 and RMSE of 1.31–1.53 °C.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Satellite, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.7780/kjrs.2018.34.6.2.10 OpenAlex:W2963498958
- Added
- 2026-10-22
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