Predictable Components of ENSO Evolution in Real-time Multi-Model Predictions
The most predictable components of the El Niño-Southern Oscillation (ENSO) evolution in real-time multi-model predictions are identified by applying an empirical orthogonal function analysis of the model data that maximizes the signal-to-noise ratio (MSN EOF). The normalized Niño3.4 index is analyze...
| Main Authors: | , , |
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| Format: | Online |
| Language: | English |
| Published: |
Nature Publishing Group
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5075933/ |