paper
2023
Observations & remote sensing
New model or method
CNN / U-NetUniversity of Oklahoma (AI2ES) Journal
2023-05-31
022
May 2023
Andrew D. Justin, Colin Willingham, Amy McGovern et al.
Artificial Intelligence for the Earth Systems
University of Oklahoma (AI2ES)
Deep learning detects cold, warm, stationary and occluded fronts from ERA5 over the US, reaching CSI 0.60 for cold fronts and 0.71 for front/no-front.
Toward Operational Real-Time Identification of Frontal Boundaries Using Machine Learning
In one sentence. Deep learning detects cold, warm, stationary and occluded fronts from ERA5 over the US, reaching CSI 0.60 for cold fronts and 0.71 for front/no-front.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- ERA5 / reanalysis
- Status
- Pre-operational / experimental
- Identifiers
- DOI:10.1175/aies-d-22-0052.1 OpenAlex:W4378837605
- Added
- 2026-10-22
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