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ENSO probability forecasting by diffusing multi-intelligent models

delete2026-09-23
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PRE
AI
B
Bin Mu
Y
Yong Jiang
S
Shijin Yuan *
B
Bo Qin
Y
Yanjun Huang
H
Hua Jiang
X
Xingrong Chen
DOI:10.1016/j.ocemod.2026.102838delete
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Abstract

Abstract

En 中文
• We propose a diffusion-based ensemble member generating method. • Ensembles are generated by diffusing multi-Intelligent models predictions. • Ensembles generate more efficiently and have better uncertainty representation. • SSR and CRPS metrics are superior than others for ENSO probabilistic forecasting. • RMSE is reduced by 12% and Niño3.4 correlation is higher than others.
Keywords:
ENSO probability forecasting
Diffusion model
Ensemble members generation
Intelligent model

Journal

Ocean Modelling cover
Ocean Modelling
IF:
2.9
Papers:
2.2K
Citations:
5.4K

Organization

N
national marine environmental forecasting center
Scholars:
15
Papers: 6
Citations: 0
T
Tongji University
Scholars:
3.0K
Papers: 950
Citations: 0
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