English references

Climate models simulate a wide range of 21st century warming for a given forcing scenario. Constraining this uncertainty is a central challenge in climate science because of its implications for climate policy and adaptation. The Transient Climate Response (TCR) is a key idealized metric used to quantify future warming in response to an exponentially increasing CO2 concentration. Climate models span a range of 1.3–3 K for TCR. In attempts to constrain this range, emergent constraints on TCR based on historical temperature trends consistently pointed towards TCR values at the lower end of the range of models. However, recent evidence from trends in the short-wave and long-wave components of Earth's energy imbalance (EEI) at the top-of-atmosphere suggests that models with higher TCR lie closer to the observed EEI trends. Here, we reconcile this discrepancy and provide a revised range for TCR of 1.9–2.6 K. Using a statistical variability-filtering approach, we show that previous temperature-based constraints we

The term ‘Anthropocene’ was coined in recognition that human activities have ended the relatively stable environment of the Holocene epoch. However, its widespread adoption across the humanities, arts and sciences has led to diverse and sometimes incompatible definitions. In this Perspective, we argue for a stabilized definition of the Anthropocene epoch to help address contemporary environmental challenges, and explore various applications of the Anthropocene across disciplines. The Anthropocene epoch, with a proposed start point in 1952, underscores that human-driven global-scale environmental disruption differs from earlier human impacts of the Holocene, which did not cause such profound destabilization. This clear distinction enables quantitative and qualitative comparisons between the Holocene and Anthropocene epochs, as already utilized, for instance, within the planetary boundaries framework. As the Anthropocene Earth system transformation is systemic, political responses also need be systemic, rather

Food security (FS) remains a pressing issue at the global scale. Current literature about FS points to a plethora of causes of food insecurity, among which climate change and the loss of biodiversity are critical to all facets of food security. Building on this notion, we advocate for a comprehensive understanding of drivers of food security, thus contributing by examining climate change and biodiversity as drivers of food security. The interest in this subject stems not only from the scientific community, but also from practitioners and policymakers. However, holistic encapsulation of the relevant literature addressing this subject is currently lacking. This review systematically analyses and categorises the drivers of FS induced by climate change and biodiversity. Following the Systematic Literature Review approach, 342 peer-reviewed studies were selected and synthesised. Our findings identified 11 categories of climate change drivers and 9 categories of biodiversity drivers of FS. These drivers were found

Methane emissions from Siberia have more than doubled over the past decade, according to new research co-led by scientists at the University of Edinburgh’s National Centre for Earth Observation (NCEO)

Rising temperatures are set to drive up emissions from wildfires, fermenting wetlands, and melting permafrost, but these feedback loops are poorly captured in climate models. Scientists are racing to make sense of these emissions to gauge how much warming may lie ahead.

Projections of near-term climate change are a potential research tool. However, for that tool to be most useful, the physical basis for a prediction must be made clear. The basis for our projection of record 2026 global temperature is high climate sensitivity, with its implication that aerosol cooling was still increasing during the period 1970-2005. One consequence, global sea surface warming, already has important effects. Causes of climate change must be understood for policy purposes. Figures in this post and our recent papers are continually updated on our website.[1] We are also now on Substack[2].

The Trump administration is dismantling a $368 million deep-ocean observation system that was put in place a decade ago to monitor coastal environments, marine ecosystems and powerful currents that affect the global climate.

Scientists have uncovered alarming new evidence that a common insecticide may leave lasting marks on the developing brain before a child is even born. Researchers studying New York City children found that prenatal exposure to chlorpyrifos — a pesticide once widely used indoors and still used in agriculture — was linked to widespread brain abnormalities and weaker motor skills years later.

Patrick Pester is the trending news writer at Live Science. His work has appeared on other science websites, such as BBC Science Focus and Scientific American. Patrick retrained as a journalist after spending his early career working in zoos and wildlife conservation. He was awarded the Master's Excellence Scholarship to study at Cardiff University where he completed a master's degree in international journalism. He also has a second master's degree in biodiversity, evolution and conservation in action from Middlesex University London. When he isn't writing news, Patrick investigates the sale of human remains.

A fire fighter tackles a wildfire

Current energy projections often envision an expansion of nuclear capacities to decarbonize future energy systems. However, this contrasts with the historic and current status of the nuclear industry, marked by techno-economic challenges for both light-water and non-light-water reactor technologies. Regardless, projections of strong nuclear growth have persisted since the 1970s. This paper investigates the “nuclear energy paradox” which shows the recurring divergence between historical projections and actual developments. A data compilation of long-term energy projections from international organizations such as the IAEA and the IEA as well as energy system models like GCAM and MESSAGE, as used in the IPCC, reveal a recurring pattern of high-growth projections for nuclear power. Such projections often rest on techno-economic assumptions such as substantial cost reductions. We propose the concept of nuclear imaginaries to show that these assumptions are embedded into techno-economic visions of nuclear power de

Even if global warming does not exceed two degrees, it could lead to more serious consequences than expected. This is the conclusion of a new study published in Nature.

Climate models show considerable discrepancies in their future projections around the Atlantic, mainly due to uncertainties in the fate of the Atlantic Meridional Overturning Circulation (AMOC). Climate models suggest a reduction in AMOC strength of 32 ± 37% by 2100 (90% probability, Shared Socioeconomic Pathways 2-4.5 scenario, Coupled Model Intercomparison Project Phase 6). To refine this estimate and reduce its uncertainty, we use four different observational constraint methods. The best one, which provides the lowest leave-one-out error, integrates a large set of observable variables using ridge-regularized linear regression—a method unusual in climate science. It gives an estimate of the AMOC slowdown of 51 ± 8% (90% probability), i.e., a weakening ∼ 60% stronger than suggested by the multimodel mean. This refinement mainly results from correcting a bias in South Atlantic surface salinity, consistent with recent studies emphasizing its role in the proximity to an AMOC tipping point. This more substantial

Even as weather extremes worsen, the voices calling for the rolling back of environmental rules have grown louder and more influential

Science-based policies could successfully limit human-caused climate change, but when political parties are allowed to accept money from special interests, policies are distorted to the point of being ineffective. This is a solvable problem, but to clarify the situation and the needed actions, we need to first marshal the evidence. The draft Prologue of Sophie’s Planet is intended to help coherently organize the evidence. Here is Part III of V, with the final two paragraphs of Part II.

New year, new acronym! The newly established Intergovernmental Science-Policy Panel on Chemicals, Waste and Pollution (ISP-CWP) will meet in its first Plenary session from February 2-6 in Geneva, Switzerland. The Panel is designed to provide scientific assessments on chemicals, waste, and pollution to inform policymakers at national, regional, and international levels.

The first session of the Plenary of the Intergovernmental Science-Policy Panel on Chemicals, Waste and Pollution (ISP-CWP P1) will be hosted by the Government of Switzerland, from 2 to 6 February 2026 at the Geneva International Conference Centre (CICG). The session will be preceded by regional and stakeholder meetings on 1 February 2026, at the same venue. The tentative schedule for the first session is available here. Please note that this schedule is subject to change.

The Intergovernmental Science-Policy Panel on Chemicals, Waste and Pollution (ISP-CWP) is a new, independent intergovernmental body established to strengthen the global science-policy interface.

Much of today's sustainability discourse emphasizes efficiency, clean technologies, and smart systems, but largely underestimates fundamental physical constraints relating to energy-matter interactions. These constraints stem from the fact that Earth is a materially closed yet energetically open system, driven by the sustained but low power-density flux of solar radiation. This Perspective reframes sustainability within these axiomatic limits, integrating relevant timescales and orders of magnitude. We argue that fossil-fueled industrial metabolism is inherently incompatible with long-term viability, while post-fossil systems are surface-, materials-, and power-intensive. Long-term sustainability must therefore be defined not only by how much energy or material is used, but also by how it is used: favoring organic, carbon-based chemistry with limited reliance on purified metals, operating at low power density, and maintaining low throughput rates. Achieving this requires radical technological shifts toward l

Effective identification and assessment of various energy transition risks are essential for ensuring energy security. This study conducts a systematic review of the literature on energy transition risk assessment, with three principal objectives: ① establishing a standardized risk taxonomy, ② analyzing the characteristics of current assessment methodologies, and ③ identifying the priority research directions. First, energy transition risks are structured into two categories: implementation risks and consequential risks. Subsequently, assessment methodologies are categorized into five methodological groups: the indicator approach, probabilistic risk assessment approach, econometric approach, simulation approach, and hybrid approach.