ML4WX

Sub-seasonal to seasonal

Tendency-and-attention-informed deep learning for ENSO forecasts

Shen Qiao, Cuicui Zhang, Xuefeng Zhang, Kai Zhang, Hao Shan Shi, Sheng Li, Wei Hao

Climate Dynamics ·

PaperPDF

In one sentence. Deep learning model combining tendency and attention mechanisms for ENSO forecasts; the abstract is missing, so skill figures are unavailable.

Labels

Topic
Sub-seasonal to seasonal
Type
New model or method
Method
Transformer / ViT
Time scale
Seasonal to annual
Domain
Global
Data
ERA5 / reanalysis, CMIP / climate model output
Status
Research
Identifiers
DOI:10.1007/s00382-023-06854-z OpenAlex:W4380904986
Added
2026-10-22

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