Data and code used in this study "Antarctic sea-ice loss drives Southern Ocean production regime shift"
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Description of Data and Code Availability All data and code supporting the manuscript of “Antarctic sea-ice loss drives Southern Ocean production regime shift” (Chao Zhang, Thomas J. Browning, Anmin Duan, Eric P. Achterberg) are publicly available. Datasets and custom scripts are summarised below All custom scripts developed for this study are archived and freely accessible: Trend calculation (Fortran 90) – Computes linear trends, statistical significance, moving t-test, Empirical Orthogonal Function (EOF) analysis for gridded data. Information flow (MATLAB) – Implements the Liang–Kleeman information flow method to quantify causal direction between Antarctic sea ice and atmospheric circulation. Storm pressure density index (MATLAB) – Processes synoptic-scale storm tracks, applies trajectory‑level quality control, and computes austral summer pressure‑density indices over the Southern Ocean. Land–sea mask generation (MATLAB) – Uses M_Map and GSHHS coastline data to create an accurate high‑resolution land mask. Full list of publicly archived datasets Sea ice Hadley Centre HadISST1 – hadleyserver.metoffice.gov.uk/hadisst/data/download.html ORAS5 sea‑ice concentration and wind stress – doi.org/10.24381/cds.67e8eeb7 NSIDC sea‑ice extent/area (G02135) – noaadata.apps.nsidc.org/NOAA/G02135/south/monthly/data/ Ocean primary production Global Ocean Colour primary production – doi.org/10.48670/moi-00281 MODIS chlorophyll‑a and PAR – oceandata.sci.gsfc.nasa.gov/l3/ Atmospheric reanalysis & dust ERA5 full reanalysis – doi.org/10.24381/cds.6860a573 MERRA‑2 dust aerosol diagnostics – doi.org/10.5067/RZIK2TV7PP38 MERRA‑2 surface turbulent fluxes – doi.org/10.5067/0JRLVL8YV2Y4 Ocean physics and iron ECCO V4R4 vertical velocity – doi.org/10.5067/ECG5M-OVE44 ECCO V4R4 mixed layer depth – doi.org/10.5067/ECG5M-OML44 Global micronutrient iron concentration climatology – doi.org/10.48670/moi-00019 Storm tracks Extratropical cyclone tracker code and output – github.com/jlodise/JGR2022_ExtratropicalCycloneTracker Usage & correspondenceAll materials are free for non‑commercial scientific use. Please cite this URL and the original data sources. For questions, contact the corresponding authors: Chao Zhang (chaozhang@xmu.edu.cn) or Eric P. Achterberg (eachterberg@geomar.de).
