paper
2019
Downscaling & super-resolution
Application study
OtherClimate projections / centennial Preprint
2019-12-01
008
Dec 2019
Daniel David Montenegro-Murillo, Mayra Alejandra Pérez-Ortiz, Viviana Vargas-Franco
Magazine Portal Bibliotech Digital (Universidad Nacional de Colombia)
Artificial neural networks statistically downscale CMIP5 models to monthly rainfall for the Cali river basin, projecting a shift of rainfall toward the middle and lower basin by 2100.
Downscaling & super-resolution
Using Artificial Neural Networks to predict monthly precipitation for the Cali river basin, Colombia
In one sentence. Artificial neural networks statistically downscale CMIP5 models to monthly rainfall for the Cali river basin, projecting a shift of rainfall toward the middle and lower basin by 2100.
Labels
- Topic
- Downscaling & super-resolution
- Type
- Application study
- Method
- Other
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- CMIP / climate model output, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.15446/dyna.v86n211.7607 OpenAlex:W3044752982
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.