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Opposition to rapid data center expansion over climate and water concerns has become a pivotal campaign issue in Maine's Senate race, potentially influencing control of the Senate in the midterm elections.
European countries are increasingly capturing waste heat from crematoria to warm homes, swimming pools, and public buildings, turning an otherwise wasted byproduct into a low-carbon energy source that reduces fuel costs.
WIRED/Grist reports on the growing use of generative AI tools by emergency managers to craft public alerts, highlighting risks of inaccurate outputs and unprepared agencies as climate disasters intensify.
Google DeepMind, Google Research, WRI and IIASA released Forest Typology (ForTy) 2020, a 10-meter global map classifying every land patch into six forest and land-use types, plus a 2017–2025 time series showing what replaced natural forests, supporting the EU Deforestation Regulation.
A new Environmental Defense Fund and Atlas Public Policy report shows the US is building more fossil fuel infrastructure than it has in a decade as electricity demand from data centers, factories, and EVs climbs, while the Trump administration curtails wind and solar growth.
KNOU-Flood extends the open AIFL recipe for global streamflow forecasting by adding lead-aware inputs, GraphCast forcing, longer input windows, and a probabilistic latent-noise ensemble, achieving significant KGE′ and CRPS gains over 2,099 test basins and showing much of the reported lead-time decay is an input-protocol effect.
微软研究院发布并发表于 Nature 的机器学习框架 Probabilistic Bias Correction (PBC),通过学习现有天气模型的系统性误差并加以校正,显著提升两到六周的次季节天气预报准确性,在全球竞赛中夺冠,并已用于肯尼亚季风预报等实际场景。
Google DeepMind的AI天气模型提前11天预测到飓风Isaias,提前4天锁定登陆位置,并在提前3天时准确预测其峰值强度,可能为社区疏散和防灾争取更多时间。
The International Energy Agency (IEA) has published the Electrification Special Report 2026 in PDF format, providing an overview of global electrification progress, growth in electricity demand, and trends in grid investment.
An article explaining how El Niño contributed to a reduction in Atlantic hurricane activity.
Tesla's electric truck faces infrastructure and policy challenges, but a record order from major shippers highlights its economic potential amidst rising diesel prices.
Research suggests that underground geologic hydrogen could be a valuable zero-carbon fuel source, with estimates of vast reserves and promising findings from mines like Kidd Creek and Bulqizë. However, commercially viable extraction remains a challenge, and further exploration is needed to unlock its potential.
The Met Office's Climate Dashboard explains the importance of glaciers, their observed mass loss over recent decades, and the methods used to measure glacier mass balance, highlighting the scientific consensus on climate-driven glacier retreat.
A new study using high-resolution lake sediment records from Lake Chala suggests the Mount Toba eruption 74,000 years ago caused only about half a degree of cooling for under two years, contradicting theories of a near-extinction volcanic winter.
Amazon's planned Texas data center could become the largest climate polluter in the U.S., with an on-site natural gas plant permitted to release 33 million tons of CO2 per year. The report highlights growing environmental concerns around AI infrastructure and Amazon's carbon emissions, which rose 16% last year despite climate pledges.
Amazon is reportedly building a massive 7.65-gigawatt gas power plant in Texas to power an AI data center, which would become the largest pollution source in the U.S., contradicting its net-zero climate pledge.
DeepMind's WeatherNext AI model, published in Nature, can predict hurricanes with unprecedented accuracy, giving forecasters about a day more lead time than existing models.
A comparison of the environmental impact between AI datacenters and animal agriculture, examining carbon footprints and resource usage.
The 2026 Atlantic hurricane season is expected to be below normal due to a rapidly strengthening El Niño, with forecasters predicting fewer named storms and hurricanes.
The Genesis Mission aims to create a domestic end-to-end ecosystem integrating AI, quantum computing, and nuclear energy to accelerate scientific discovery and address climate, energy, and health challenges.