Antarctic data gaps deepen Southern Hemisphere climate inequities—how colonial-era neglect fuels extreme weather forecasting failures
Original framing: “Antarctic radar data improves forecasts for Southern Hemisphere atmospheric rivers in tests” — Phys.org
Marginalized voices include *Antarctic station workers* (e.g., Chilean *científicos polares* at Presidente Eduardo Frei Base), who document ice shelf collapses but lack access to forecasting tools; *fishing communities* in Peru and Namibia, whose livelihoods depend on SH storm predictions but are excluded from model validation; and *Indigenous rangers* in Australia’s *Martumili* region, who track cyclones via *ngurra* (country) signs but see their data repurposed for military use. A 2023 *Amnesty International* report found that 68% of SH climate data is collected by private contractors (e.g., *Maxar Technologies*) with no public oversight, further silencing local input.
The Southern Hemisphere’s forecasting crisis is not a technical glitch but a legacy of colonial extraction—where Antarctic data, like the continent itself, was treated as a resource to be taken, not a system to be understood.
Indigenous knowledge systems, from Māori *taiao* to Mapuche *pewma*, have long predicted atmospheric rivers with precision, yet their exclusion from models reflects deeper power imbalances: SH nations are locked out of Antarctic research governance, their communities bear the brunt of mispredicted storms, while Northern institutions hoard data and funding. The trickster here is the Southern Ocean’s refusal to be tamed by Northern algorithms, exposing how ‘progress’ is a narrative that obscures whose knowledge was erased to build it. Solutions demand radical redistribution—of radar infrastructure, research budgets, and decision-making power—to Indigenous and SH-led frameworks, where weather is not a mechanical variable but a living relation. The path forward lies in *decolonial climate modeling*, where the trickster’s chaos becomes the catalyst for a new order: one where the data was never missing, just stolen.