paper
2023
Explainability, uncertainty & physics
Climate analysis & attribution New model or method
OtherClimate projections / centennial Preprint
2023-09-05
008
Sep 2023
Vinicius Schmidt Monego, Juliana Aparecida Anochi, Haroldo Fraga de Campos Velho
Research Square
Applies machine learning with uncertainty quantification to climate precipitation predictions over South America; the abstract is missing, so details are limited.
Explainability, uncertainty & physics
Machine learning for uncertainty quantification in climate precipitation prediction over South America
In one sentence. Applies machine learning with uncertainty quantification to climate precipitation predictions over South America; the abstract is missing, so details are limited.
Labels
- Topic
- Explainability, uncertainty & physics, Climate analysis & attribution
- Type
- New model or method
- Method
- Other
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.21203/rs.3.rs-3310465/v1 OpenAlex:W4386465478
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.