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Computational framework demonstrates daily thermal-anomaly decomposition into spatial rearrangement and residual change in the Baltic Sea, indicating new diagnostics for regional ocean heat dynamics.
This repository provides the complete analysis code and supporting datasets for the manuscript “Decomposing Daily Baltic Sea Thermal-Anomaly Evolution into Rearrangement and Residual Change Using Unbalanced Optimal Transport.” It includes the reproducible Python analysis workflow and validation tests, daily Baltic Sea depth-mean volumetric heat-content fields derived from Copernicus Marine data for 1993–2025, daily ERA5 surface net-heat-flux data, and processed NetCDF files containing the data underlying the manuscript figures. The workflow uses unbalanced optimal transport to separate daily thermal-anomaly evolution into spatial rearrangement and residual local change. Rearrangement is an advection-like pattern-displacement diagnostic—not an estimate of ocean currents or heat transport—while the residual represents source- and sink-like change rather than a closed physical heat budget.
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Barzandeh et al. (2026) studied this question.
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