paper
2022
Downscaling & super-resolution
New model or method
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Journal
2022-06-14
008
Jun 2022
Mohammad Nazeri Tahroudi, Yousef Ramezani, Carlo De Michele et al.
International Journal of Climatology
Vine copula downscaling of daily mean temperature outperforms ANN, SVR, GP and ANFIS, reducing RMSE by 20–82% at one Iranian station.
Downscaling & super-resolution
Application of copula‐based approach as a new data‐driven model for downscaling the mean daily temperature
In one sentence. Vine copula downscaling of daily mean temperature outperforms ANN, SVR, GP and ANFIS, reducing RMSE by 20–82% at one Iranian station.
Labels
- Topic
- Downscaling & super-resolution
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Local / station
- Data
- CMIP / climate model output, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1002/joc.7752 OpenAlex:W4282918200
- Added
- 2026-10-22
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