Investigating the Temporal Sensitivity of Upper Ocean Salinity to Global Water Cycle Changes With Unsupervised Learning
Abstract The response of ocean salinity to surface freshwater fluxes exhibits complex spatial and temporal patterns, making it challenging to pinpoint where and when freshwater flux dominates salinity variability. This study uses Gaussian Mixture Modeling, an unsupervised machine learning technique,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-07-01
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| Series: | Geophysical Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2025GL115550 |
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