ML4WX

Downscaling & super-resolution

Machine learning-based downscaling: application of multi-gene genetic programming for downscaling daily temperature at Dogonbadan, Iran, under CMIP6 scenarios

Majid Niazkar, Mohammad Reza Goodarzi, Atiyeh Fatehifar, Mohammad Javad Abedi

Theoretical and Applied Climatology ·

Paper

In one sentence. Multi-gene genetic programming downscales daily temperature at Dogonbadan, Iran, under CMIP6 scenarios, producing local projections from global climate models.

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
Status
Research
Identifiers
DOI:10.1007/s00704-022-04274-3 OpenAlex:W4308846880
Added
2026-10-22

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