This project simulates and analyzes synthetic Sea Surface Temperature (SST) data to demonstrate climate study techniques, including trend analysis, seasonal decomposition, and anomaly detection. It serves as an educational tool for understanding climate change indicators through time-series analysis using Python.
☆11Feb 27, 2026Updated last month
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