
Zeke Hausfather
Analyst at Carbon Brief
"A tireless chronicler and commentator on all things climate" -NYTimes. Climate lead @stripe, writer @CarbonBrief, scientist @BerkeleyEarth, IPCC/NCA5 author
Articles
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2 weeks ago |
eco-business.com | Zeke Hausfather
The warming associated with GHG emissions and cooling associated with aerosol emissions are the largest factors driving the global temperature changes, particularly over the past 70 years. In the absence of aerosol emissions, the best estimate of current warming would be approximately 0.5°C higher, with the world approaching 2°C rather than the 1.4°C that the world is experiencing today.
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2 weeks ago |
theclimatebrink.com | Zeke Hausfather
The WMO recently published their WMO Global Annual to Decadal Climate Update that covers the period from 2025 to 2029. This is a regular assessment of near-term dynamic model projections that assess both the forced climate response and short-term natural variability (e.g. ENSO and AMV). This new update forecasts relatively high global temperatures to likely continue through 2029, with the central estimate form most years similar to what was seen in 2023 and 2024.
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2 weeks ago |
carbonbrief.org | Zeke Hausfather
Human-caused emissions of aerosols – tiny, light‑scattering particles produced mainly by burning fossil fuels – have long acted as an invisible brake on global warming. This is largely because they absorb or reflect incoming sunlight and influence the formation and brightness of clouds. These combined effects act to lower regional and global temperatures.
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2 weeks ago |
buff.ly | Zeke Hausfather
Human-caused emissions of aerosols – tiny, light‑scattering particles produced mainly by burning fossil fuels – have long acted as an invisible brake on global warming. This is largely because they absorb or reflect incoming sunlight and influence the formation and brightness of clouds. These combined effects act to lower regional and global temperatures.
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1 month ago |
nacleanenergy.com | Kyle Baranko |Duncan Campbell |Zeke Hausfather |James McWalter
Artificial intelligence is creating unprecedented demand for power. Hyperscalers, companies building large AI systems, are expected to need between 30-300 gigawatts (GW) of power by 2030; the equivalent to powering up to 225 million homes. This massive energy requirement presents a critical challenge: how can we quickly and sustainably power AI growth? Priorities and current limitations As energy demand surges, the ideal solution would be fast, reliable, and cost-effective (under $100/MWh).
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Excited to be chatting with John Timmer at Ars Technica! Check it out at 1 PM Eastern tomorrow over at https://t.co/tdbuaODVe6 https://t.co/AaTqHSQqXq

RT @Atul_Gawande: This is a travesty and a nightmare. The US was a founder of @Gavi. It lowers vaccine costs for the world, has vaccinated…

Awesome news! Though it would have been best not to shut down Indian Point in the first place. That one plant produced as much clean electricity as all of NY state's wind and solar combined at the time... https://t.co/WeuNxxUu6i

Government shouldn't delay growth — it should help drive it. We are going to act boldly, building upstate's first nuclear power plant in a generation. Because if New York wants to keep being an economic powerhouse, we need clean, affordable, abundant power. https://t.co/p23tIT0ieo