paper
2021
Downscaling & super-resolution
Climate analysis & attribution Application study
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Journal
2021-10-18
008
Oct 2021
Seyed Babak Haji Seyed Asadollah, Ahmad Sharafati, Shamsuddin Shahid
Environmental Science and Pollution Research
Ensemble machine learning downscales and projects climate variables across Iran's climate regions, using GCM output for regional climate projections.
Downscaling & super-resolution
Application of ensemble machine learning model in downscaling and projecting climate variables over different climate regions in Iran
In one sentence. Ensemble machine learning downscales and projects climate variables across Iran's climate regions, using GCM output for regional climate projections.
Labels
- Topic
- Downscaling & super-resolution, Climate analysis & attribution
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.1007/s11356-021-16964-y OpenAlex:W3205285071
- Added
- 2026-10-22
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