A machine learning-based approach to quantify ENSO sources of predictability
<p>A machine learning method is used to identify sources of long-term ENSO predictability in the ocean (sea surface temperature (SST) and heat content) and the atmosphere (near-surface zonal wind (U10)). Tropical SST represents the primary source of predictability skill. While U10 does not inc...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
American Geophysical Union
2024
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