paper
2018
Downscaling & super-resolution
Climate analysis & attribution Application study
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Journal
2018-10-15
008
Oct 2018
Manzoor Ahmad Ahanger, Mehnaza Akhter
International Journal of Hydrology Science and Technology
An ANN downscales GCM predictors to four Jhelum basin stations, projecting 1.4–1.6°C warming and 31–35% precipitation decline by 2100.
Downscaling & super-resolution
Climate modeling using ANN
In one sentence. An ANN downscales GCM predictors to four Jhelum basin stations, projecting 1.4–1.6°C warming and 31–35% precipitation decline by 2100.
Labels
- Topic
- Downscaling & super-resolution, Climate analysis & attribution
- Type
- Application study
- 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:10.1504/ijhst.2019.10016868 OpenAlex:W3101871812
- Added
- 2026-10-22
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