ML4WX

Extremes & hazards

An innovative approach to predict atmospheric rivers: Exploring convolutional autoencoder

Shivam H Singh, Manish Kumar Goyal

Atmospheric Research ·

Paper

In one sentence. A convolutional autoencoder is proposed to predict atmospheric rivers; the abstract is missing, so accuracy and data cannot be confirmed.

Labels

Topic
Extremes & hazards
Type
New model or method
Method
GAN or VAE, CNN / U-Net
Time scale
6 h–3 days
Status
Research
Identifiers
DOI:10.1016/j.atmosres.2023.106754 OpenAlex:W4365458731
Added
2026-10-22

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