paper
2024
Sub-seasonal to seasonal
Climate analysis & attribution New model or method
CNN / U-NetSeasonal to annualPrinceton University Journal
2024-08-08
022
Aug 2024
Yujay An, Hyemi Kim
Journal of Geophysical Research Atmospheres
Princeton University
CNNs trained on CESM2 large ensemble using tropical Pacific SST beat regression and dynamical models for US seasonal temperature at 1–6 month leads.
Improving the Predictability of the US Seasonal Surface Temperature With Convolutional Neural Networks Trained on CESM2 LENS
In one sentence. CNNs trained on CESM2 large ensemble using tropical Pacific SST beat regression and dynamical models for US seasonal temperature at 1–6 month leads.
Labels
- Topic
- Sub-seasonal to seasonal, Climate analysis & attribution
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.1029/2024jd040961 OpenAlex:W4401424307
- Added
- 2026-10-22
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