A Machine Learning‐Based Approach to Quantify ENSO Sources of Predictability
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 increase the...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Wiley Open Access
2024
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