Decomposing Daily Baltic Sea Thermal-Anomaly Evolution into Rearrangement and Residual Change Using Unbalanced Optimal Transport

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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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-24
DOI
https://doi.org/10.5281/zenodo.22079360
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
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article

Decomposing Daily Baltic Sea Thermal-Anomaly Evolution into Rearrangement and Residual Change Using Unbalanced Optimal Transport

Amirhossein Barzandeh, Behzad Bashiri, Ali Hayatijozani
Zenodo (CERN European Organization for Nuclear Research)
Oceanographic and Atmospheric Processes
article

Decomposing Daily Baltic Sea Thermal-Anomaly Evolution into Rearrangement and Residual Change Using Unbalanced Optimal Transport

Amirhossein Barzandeh, Behzad Bashiri, Ali Hayatijozani
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Tallinn University of Technology (EE)
Life below water
Openalex Percentile: Top 12%
Oceanographic and Atmospheric Processes
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Decomposing Daily Baltic Sea Thermal-Anomaly Evolution into Rearrangement and Residual Change Using Unbalanced Optimal Transport — Amirhossein Barzandeh, Behzad Bashiri, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS