paper
2022
Data assimilation
Foundation models New model or method
GAN or VAECNN / U-Net Journal
2022-04-26
012
Apr 2022
Yueya Wang, Xiaoming Shi, Lili Lei et al.
Monthly Weather Review
Convolutional autoencoder reconstructs missing observation fields before EnSRF assimilation, cutting analysis error in a barotropic vorticity testbed with sparse data.
Deep Learning Augmented Data Assimilation: Reconstructing Missing Information with Convolutional Autoencoders
In one sentence. Convolutional autoencoder reconstructs missing observation fields before EnSRF assimilation, cutting analysis error in a barotropic vorticity testbed with sparse data.
Labels
- Topic
- Data assimilation, Foundation models
- Type
- New model or method
- Method
- GAN or VAE, CNN / U-Net
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1175/mwr-d-21-0288.1 OpenAlex:W4224993707
- Added
- 2026-10-22
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