paper
2023
Downscaling & super-resolution
Post-processing & calibration Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels) Journal
2023-02-10
008
Feb 2023
Çağrı Hasan Karaman, Zuhal Akyürek
Advances in Space Research
Evaluates near-surface air temperature reanalyses over Turkey and downscales them with a random forest for complex terrain; no abstract available.
Downscaling & super-resolution
Evaluation of near-surface air temperature reanalysis datasets and downscaling with machine learning based Random Forest method for complex terrain of Turkey
In one sentence. Evaluates near-surface air temperature reanalyses over Turkey and downscales them with a random forest for complex terrain; no abstract available.
Labels
- Topic
- Downscaling & super-resolution, Post-processing & calibration
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- ERA5 / reanalysis, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1016/j.asr.2023.02.006 OpenAlex:W4319926139
- Added
- 2026-10-22
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