paper
2022
Climate analysis & attribution
New model or method
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Preprint
2022-08-09
008
Aug 2022
Shiu‐Shin Lin, Wei-Li Yeh, Kai-Yang Zhu et al.
Research Square
Applies a deep neural network to estimate future rainfall trends and their uncertainty under climate change; abstract unavailable, so classification is based on title only.
Climate analysis & attribution
Applying the Deep Neural Network to Estimate Future Trend and Uncertainty of Rainfall under Climate Change
In one sentence. Applies a deep neural network to estimate future rainfall trends and their uncertainty under climate change; abstract unavailable, so classification is based on title only.
Labels
- Topic
- Climate analysis & attribution
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.21203/rs.3.rs-1921429/v1 OpenAlex:W4300076486
- Added
- 2026-10-22
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