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A study published in Climatic Change finds that more than three-quarters of the world's best surf breaks in World Surfing Reserves face high risk from sea level rise, hardened shorelines, and shifting sands driven by the climate crisis, threatening both surf culture and coastal economies.
文章探讨了阻燃剂通过海洋食物链进入海鲜并最终影响人类健康的问题，关注这类化学污染物在环境中的迁移与富集。
哥伦比亚大学与加州大学伯克利分校的研究人员在《自然》发表研究，发现水会使微塑料表面产生化学活性，生成羟基自由基等活性氧物种，可能引发氧化应激并损害生物组织。
Researchers discovered that plastic waste is fusing with coral skeletons, forming a conglomerate called 'plasticoral', which is a new form of marine pollution impacting coral reef ecosystems.
Researchers developed a lab-scale device that captures carbon dioxide efficiently by pumping it across a battery. The technology aims to reduce capture costs significantly, with projections down to $92 per ton at scale.
The paper introduces SolarFlowRefiner, a refinement-aware flow-matching framework for downscaling surface solar radiation from coarse ERA5 data to high-resolution SolarCube fields, demonstrating consistent improvements over standalone generation and post-hoc refinement methods.
The University of Manchester has used NVIDIA's Earth-2 AI models to develop a forecasting system for air pollution across the UK, aiming to improve public health responses and policy decisions.
A study reconstructs El Niño's history over the past millennium using fossilized coral records, revealing that recent events are stronger than any in the last 1,000 years due to global warming.
Research based on coral records suggests that climate change is strengthening El Niño events.
A statewide study in New York audits predictive models for lead service-line classifications against physical verification, revealing significant discrepancies and potential issues with model-based determinations.
The article explores the factors contributing to ozone layer issues, arguing that human actions are responsible rather than natural components like trees.
Research indicates that targeted marine cloud brightening can weaken subsequent El Niño events, suggesting potential applications in climate intervention.
AutoCause is an open-source Python framework that automates expert decisions in environmental time-series causal discovery, wrapping multiple causal-discovery methods and providing auditable, repeatable analysis. It is evaluated on 145 datasets from synthetic and real-world benchmarks.
A climate scientist describes Europe's recurring heat waves as a 'sad inevitability' due to human-induced global warming, with experts warning that extreme heat events will keep intensifying until net-zero emissions are reached.