Why Medium-Range Forecasts Could Save Millions: Lessons from Planette AI
Apple Podcasts · 2025-09-06
Kalai Ramea, founder of Planette AI, describes her company’s focus on the “forecast gap,” the critical two week to two month window between short term weather and long term climate models. Drawing on her background in climate policy and research at Xerox PARC, she explains that Planette AI’s “scientific AI” learns directly from physics based earth system simulations rather than relying on historical weather data, making forecasts more reliable in a changing climate. This approach allows for faster, more actionable insights that can guide real world decisions for industries like agriculture, aviation, insurance, and event planning, including detecting the kind of heavy rain signals that could have prevented the last minute cancellation of events like Bonnaroo.
Apple Podcasts. 2025-09-06. Why Medium-Range Forecasts Could Save Millions: Lessons from Planette AI. https://podcasts.apple.com/us/podcast/why-medium-range-forecasts-could-save-millions-lessons/id1018727913?i=1000725326683 (AI & Environment Resource Hub; record pod-0144; collection snapshot 2026-09-15).
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Continuous and reliable Earth observation is critical for real-world systems like hurricane forecasting and wildfire detection. GAIA demonstrates promising capabilities, both in filling large gaps in satellite records and converting satellite imagery into precipitation estimates. GAIA represents a new class of geospatial AI models with the potential to create significant impact across sectors—from more accurate weather forecasting to applications in insurance, power utilities, aviation, and agriculture.
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Shared topics: Governance and society; Energy and electricity; Climate and greenhouse gases; Weather, hazards, and adaptation
We are happy to share this strategic report–AI and Climate Change: The Global South Facing the New Geopolitics of Innovation–written by Lori Regattieri and jointly launched by CIPÓ and the Green Screen Coalition. The report articulates key connections between energy infrastructures, climate justice and purported AI solutions for the “energy transition”. Their work argues for multilateral, pluriversal, and multisectoral approaches to digital infrastructure and industrial policy. The report names the violence of the “logic of expansion” and the fallacies of transition, which “simultaneously drives energy regimes and artificial intelligence systems”. Lori’s critique on the entanglement of many different social and political issues in Brazil is critical in a time where the technology industry lays the groundwork to be the saviors of COP30 in Belem, Brazil. With COP less than two months away, the report provides a powerful framing for those curious about the industrial dynamics in the region, and the ontological logic underpinning them.
Green Screen Coalition
Shared topics: Governance and society; Energy and electricity; Climate and greenhouse gases; Weather, hazards, and adaptation
The net climate impacts of artificial intelligence (AI) depend largely on how its applications propagate through competing energy pathways. Absent policy steering, AI's modeled effects increase the carbon intensity of the global economy and reinforce fossil fuel incumbency—outcomes that current analytical and governance frameworks do not fully capture.
npj Climate Action
Shared topics: Governance and society; Energy and electricity; Weather, hazards, and adaptation; Transport and logistics
AI is revolutionizing supply chains, optimizing logistics, enhancing sustainability, and transforming global trade operations. But how can businesses harness AI to create resilient, efficient, and sustainable supply networks?
