News & press Highlight articles

European Geosciences Union

www.egu.eu

Highlight articles

Some features of our web site require JavaScript to function properly. Please enable JavaScript in your browser.

2014 items found

10 20 50

Enhancing dust aerosols monitoring capabilities across North Africa and the Middle East using the A-Train satellite constellation

North Africa and the Middle East are home to the world’s most active dust sources, but accurately monitoring airborne dust remains challenging. We combine active and passive satellite aerosol products to dynamically estimate dust lidar ratios over a 12-year period. The results reveal pronounced and physically meaningful regional variability, improving aerosol characterization and supporting climate and air-quality applications.

NorESM2–DIAM: a coupled model for investigating global and regional climate-economy interactions

We introduce NorESM2-DIAM (Norwegian Earth System Model version 2-Disaggregated Integrated Assessment Model), a first-of-its-kind tool linking a climate model with a high-resolution economic model to study how climate change, internal variability, and economic activity interact across the world. The model reveals strong regional differences and large annual swings in economic impacts, offers insights for climate policy discussions, and provides a strong foundation for future model development.

Water vapour isotope anomalies during an atmospheric river event at Dome C, East Antarctica

In December 2018, an atmospheric river event from the Atlantic reached Dome C, East Antarctica, causing a +18 °C warming, tripled water vapour, and a strong isotopic anomaly in water vapour (+ 17 ‰ for δ¹⁸O) at the surface. During the peak of the event, we found 70 % of the water vapour came from local snow sublimation, and 30 % from the atmospheric river itself, highlighting both long-range moisture advection and interactions between the boundary layer and the snowpack.

Phytoplankton blooms affect microscale differences of oxygen and temperature across the sea surface microlayer

Microsensors measuring oxygen and temperature were used to gain high-resolution profiles across the surface of a water basin, in which an algal bloom was induced. These novel data show that the oxygen at the sea surface is highly influenced by algal blooms, while the temperature is only indirectly affected by them. Since algal blooms occur globally, this has considerable implications for calculating global air-sea exchanges of gases or heat, especially under low-wind conditions.

Northward shift of boreal tree cover confirmed by satellite record

Analysis of 36 years of satellite tree cover data provide the first comprehensive confirmation of the northward advance of the boreal forest. Boreal tree cover expanded by 0.84 million km² (12%) from 1985 to 2020 and shifted northward by 0.43°. Gains outpaced losses across most latitudes, confirming a biome-wide poleward shift. Young forests now comprise 15% of the area of the world’s largest forest biome, storing 1–6 Pg C and potentially sequestering an additional 2–4 Pg C as they mature.

Investigating controls on fluvial grain sizes in post-glacial landscapes using citizen science

We explore controls on channel sediment characteristics in post-glacial landscapes. In contrast to other studies that have focused on landscapes with little glacial influence, we find no apparent controls. We propose that Scotland's post-glacial legacy drives the lack of sedimentological trends, and that changes in landscape morphology and sediment sources caused by glacial processes lead to a decoupling between fluvial sediment grain size and environmental variables.

The largest crop production shocks: magnitude, causes and frequency

Large crop failures happen regularly around the world, threatening food security. We analyzed sixty years of global crop production data and found that every country has experienced major crop losses. Climate events like droughts cause most severe disruptions, with some African nations losing up to eighty percent of production. While global crop shocks above five percent are rare, regional disruptions occur frequently. These findings show our food system faces regular large-scale threats.

Machine-learning models of δ¹³C and δ¹⁵N isoscapes in Amazonian wood

Illegal logging is a major environmental concern in the Amazon. We tested whether the isotopic composition of carbon (δ¹³C) and nitrogen (δ¹⁵N) in wood can support timber traceability. Using machine-learning models, we generated basin-wide isoscapes showing that both isotopes capture consistent environmental gradients, providing a scientific basis to improve provenance verification and guide enforcement efforts.

Flood risks to the financial stability of residential mortgage borrowers: an integrated modeling approach

Natural Hazards and Earth System Sciences
DOI 10.5194/nhess-26-675-2026
30 January 2026

Uninsured flood damage can destabilize household finances, particularly when access to affordable credit is limited. Across seven floods in North Carolina, 66% of damage was found to be uninsured. Among affected mortgage borrowers, 32% lacked sufficient income or collateral to finance repairs through home equity-based borrowing, making their recovery uncertain. These findings suggest that uninsured flood damage poses a serious and under-recognized threat to residential mortgage borrowers.

Assessment of the Cape Blanc (northwest Africa) upwelling ecosystem response to recent climate change, using wavelet analyses on dinoflagellate cyst export

This study examined the cycle variability in records of a plankton group remnant (dinoflagellate cysts), atmospheric, and oceanic factors off Cape Blanc, Northwest Africa. The result showed changes in the cycles of the plankton, upwelling winds, and Saharan dust records from 2003 to 2020. These changes were divided into three phases, coinciding with changes in the plankton assemblage. Our results showed that local climate change can influence the dynamics and composition of marine ecosystems.

Operational numerical weather prediction with ICON on GPUs (version 2024.10)

The ICON climate and numerical weather prediction model was fully ported to Graphical Processing Units (GPUs) using OpenACC compiler directives, covering all components required for operational weather prediction. The GPU port together with several performance optimizations led to a speed-up of 5.6× when comparing to traditional Central Processing Units (CPUs) . Thanks to this adaptation effort, MeteoSwiss became the first national weather service to run the ICON model operationally on GPUs.

A survey of snow growth signatures from tropics to Antarctica using triple-frequency radar observations

Despite the increasing complexity of snow microphysics schemes employed in numerical models, whether the dominant snow microphysical process is reasonably identified remains an open question. This study using unprecedented triple-frequency radar observations for the first time unravels the key snow growth processes over diverse geographies. The unique cross-continental datasets from triple-frequency campaigns shed new insights for model evaluation and future satellite missions.

Review article: Social media for managing disasters triggered by natural hazards: a critical review of data collection strategies and actionable insights

Natural Hazards and Earth System Sciences
DOI 10.5194/nhess-26-215-2026
27 January 2026

This paper critically reviews 250 studies (2010–2023) on how social media are used to manage disasters triggered by natural hazards. Supported by a newly created Social Media Literature Database, it identifies trends, data collection and analysis strategies, actionable information types, and major research gaps. Best practices are proposed for community use of social media during disasters and for researchers seeking to enhance its integration into disaster management and resilience strategies.

Impact on cloud properties of reduced-sulphur shipping fuel in the Eastern North Atlantic

The amount of sunlight reflected by marine boundary layer clouds in the Eastern North Atlantic does not change due to a decrease in aerosol caused by reduced sulphur in shipping fuel because adjustments to liquid water path offset the decease in cloud droplet number concentration.

High resolution monthly precipitation isotope estimates across Australia from machine learning

We used a random forest approach to produce estimates of monthly precipitation stable isotope variability from 1962–2023, at high resolution across the entire Australian continent. Comprehensive skill and sensitivity testing shows that our random forest models skilfully predict precipitation isotope values in places and times that observations are not available. We make all outputs freely available, facilitating use in fields from ecology and hydrology to archaeology and forensic science.

Quantifying the time of emergence of the anthropogenic signal in the global land carbon sink

We study when anthropogenic signal becomes detectable in the global land carbon sink, which has risen since the 1950s due to CO₂ fertilization and mid- to high-latitude warming. The signal emerges earlier at the global than at regional scales. Future scenarios (2016–2100) take longer to detect than the historical period (1851–2014) because the signal is weaker relative to larger natural variability. Removing circulation-induced variability with dynamical adjustment shortens the detection time.

Emerging Mineral Dust Source in ’A’ą̈y Chù’ Valley, Yukon, Canada Poses Potential Health Risk via Exposure to Metal and Metalloids Enriched in PM₁₀ and PM_2.5 Size Fractions

Glacial sediment of the ’A’ą̈y Chù’ Valley in Yukon, Canada is exposed to strong winds, and consequently, has become a significant mineral dust source. Mineral dust is known to have an impact on human health, partly due to various metals it contains, with the size of the particles also being an important factor. The goal of this study was to determine the concentration of various metals in the dust, how this relates to dust size, and whether air quality standards were surpassed.

A novel laser-based spectroscopic method reveals the isotopic signatures of nitrous oxide produced by eukaryotic and prokaryotic phototrophs in darkness

We present a new method for the accurate laser-based analysis of N₂O isotopes. For the first time, we measured the Site Preference-N₂O signatures of pure cultures of microalgae and cyanobacteria. Our study is a first step to ultimately develop process-specific N₂O monitoring from aquatic ecosystems. Further research is now needed to determine the occurrence and significance of N₂O emissions from microalgae and cyanobacteria from aquatic ecosystems.

Culturing experiments reveal mechanisms of daily trace element incorporation into Tridacna shells

This study explores daily geochemical variations in giant clam (Tridacna) shells from controlled, isotopically-labelled day-night growth experiments. Results show five times higher daytime calcification rates. Light availability and metabolic activity significantly influence elemental incorporation mechanisms. The findings enhance our understanding of clam geochemistry and growth dynamics, offering valuable insights for studies on past environmental changes.

Remineralisation changes dominate oxygen variability in the North Atlantic

Oxygen is essential to marine life, but the amount of oxygen in the ocean has been decreasing in recent decades. Using observations of oxygen concentration interpolated across a section of the subtropical North Atlantic Ocean, we show that deoxygenation in the region is primarily driven by an increase in oxygen being consumed during remineralisation of organic matter. The impact of this is strongest at depths of around 600 m, where the process drives up to 70 % of the total deoxygenation.

The first Earthquake Early Warning System for the high-speed railway in Italy: enhancing rapidness and operational efficiency during seismic events

Natural Hazards and Earth System Sciences
DOI 10.5194/nhess-26-299-2026
20 January 2026

The first Italian Earthquake Early Warning system protects the Naples-Rome high-speed railway by detecting earthquakes in real time and sending alerts within seconds. Using seismic sensors and smart algorithms, it slows or stops trains only where needed, avoiding full-line shutdowns. Directly linked to train control, it boosts safety and minimizes disruption during potentially damaging earthquakes.

Positive feedbacks drive the Greenland ice sheet evolution in millennial-length MAR–GISM simulations under a high-end warming scenario

To study Greenland ice sheet–atmosphere interactions, we coupled an ice sheet model to a regional climate model and performed simulations of differing coupling complexity over 1000 years under a high-warming climate scenario. They reveal that at first melt at the ice sheet margin is reduced by changing wind patterns. But over time, as the ice sheet melts and its surface lowers, precipitation patterns and cloudiness also change and amplify ice mass loss over the entire ice sheet.

Brief Communication: Rejuvenating and strengthening the science–policy interface required to implement the Sendai Framework for Disaster Risk Reduction

Natural Hazards and Earth System Sciences
DOI 10.5194/nhess-26-271-2026
19 January 2026

This article looks at how science connects with policy to reduce disaster risks. Although the Sendai Framework says science is key, current efforts to bring together scientists and share their perspectives with other stakeholders are not as effective as they could be. We suggest three ways to improve this: include more voices, better share research, and create spaces to discuss key topics.

Compounded effects of long-term warming and the exceptional 2023 marine heatwave on North Atlantic coccolithophore bloom dynamics

In 2023, an exceptional marine heatwave occurred in the North Atlantic ocean. This study evaluates changes in G.huxleyi dynamics showing bloom decline in the Celtic Sea and reaching unprecedented levels in the Barents Sea. These shifts reflect the direct impact of temperature extremes driven by human-induced climate change with major effects on ocean life and carbon cycle. Continuous monitoring is vital to understand and monitor regional adaptation of marine ecosystems.

The carbon dioxide removal potential of cement and lime kiln dust via ocean alkalinity enhancement

Cement and lime kiln dust, industrial by-products, could help remove CO₂ from the atmosphere by increasing surface ocean alkalinity. Lab experiments showed that a fraction dissolves rapidly in seawater, releasing substantial alkalinity. Most of the residual fraction may dissolve in marine sediments to drive further carbon storage. Both materials could thus aid in global CO₂ removal, but careful application strategies are required to avoid harm to marine ecosystems.

Global projections of aridity index for mid and long-term future based on CMIP6 scenarios

Our study investigates global dryland dynamics and aridification under future climate scenarios. By employing the Food and Agriculture Organisation Aridity Index and an ensemble of 13 models from the 6th Coupled Model Intercomparison Project, we provide projections for dryland distribution and aridity index across three shared socio-economic pathways (2-4.5, 3-7.0, and 5-8.5) for the near-term (2030–2059) and for the long-term (2070–2099) future.

Quantifying agricultural N₂O and CH₄ emissions in the Netherlands using an airborne eddy covariance system

Nitrous oxide and methane emissions from agriculture need to be reduced, therefore emissions must be understood to effectively mitigate them. This is the first approach to measure those emissions aircraft-based, to assess their magnitude and drivers. We identified emission hotspots and temporal changes in agricultural emissions in the Netherlands. Our approach is applicable to further greenhouse gas emitters, therefore it builds a step towards more comprehensive emission quantification.

Historical Droughts in British Colonial Belize (1771–1981)

This work presents the first documentary-derived chronology of droughts in British colonial Belize (1771-1981), integrating archival sources with extended instrumental records. Results show exceptional droughts in the 1880s, 1920s, and 1943-1955. Comparison of extreme colonial droughts with Terminal Classic Period palaeoclimate records shows a similar magnitude of precipitation reduction (29-59%) and provides a context to assess future climate projections for the region.

Review of climate simulation by Simple Climate Models

Simple Climate Models (SCMs) are widely used tools to explore how Earth's climate may change in the future. In recent decades, the number and types of SCMs have increased significantly, hindering efforts to understand cross-model differences. In this study, we provide an overview of the main principles guiding climate simulation by SCMs, as well as a description of most high-profile SCMs. This work offers a clear reference to support the informed use of these important tools.

Integrating fireline observations to characterize fire plumes during pyroconvective extreme wildfire events: implications for firefighter safety and plume modeling

Firefighter entrapments can occur when wildfires escalate suddenly due to fire-atmosphere interactions. This study presents a method to analyze this in real-time using two weather balloon measurements: ambient and in-plume conditions. Researchers launched 156 balloons during wildfire seasons in Spain, Chile, Greece, and the Netherlands. This methodology detects sudden changes in fire behavior by comparing ambient and in-plume data, ultimately enhancing research on fire-atmosphere interactions.

Bridging science and practice on multi-hazard risk drivers: stakeholder insights from five pilot studies in Europe

Disaster risk management faces growing challenges from multiple, changing hazards. Interviews with stakeholders in five European regions reveal that climate change, urban growth, and socio-economic shifts increase vulnerability and exposure. Measures to reduce one risk can worsen others, highlighting the need for better coordination. The study calls for flexible, context-specific strategies that connect scientific risk assessments with real-world decision-making.

A system for analysis of H₂ and Ne in polar ice core samples

This study describes a system for analysis of hydrogen (H₂) and neon (Ne) in polar ice core samples in the field immediately after drilling. The motivation is to reconstruct the atmospheric history of H₂ to improve understanding of global H₂ biogeochemistry and how it has varied over time. This knowledge will help inform models used to project future atmospheric levels of H₂and assess the climate impacts of widespread utilization of H₂ as an energy source.

Estimating the AMOC from Argo profiles with machine learning trained on ocean simulations

Ocean Science
DOI 10.5194/os-21-3541-2025
18 December 2025

The Atlantic Meridional Overturning Circulation (AMOC) is a large current system that helps regulating Earth's climate. Monitoring the AMOC relies on fixed instruments anchored to the seafloor. This study explores, in a high-resolution model, whether data from Argo floats, autonomous drifters collecting hydrographic profiles, can be used to monitor the AMOC cost-effectively with the help of Machine Learning. Results suggest that Argo floats can extend AMOC monitoring beyond current fixed arrays.

An extrapolation algorithm for estimating river bed grain size distributions across basins

Characterizing the grain size of river sediments is necessary for estimating sediment transport rates in rivers. In order to understand sediment transport at large spatial scales, grain size information across river basins is needed, but methods for accomplishing this are limited. Here, I introduce a new method for using measurements of grain size in discrete locations to estimate full grain size distributions across entire watersheds.

Injection near the stratopause mitigates the stratospheric side effects of sulfur-based climate intervention

Injecting sulfur dioxide at 50 km – near the stratopause – offers a far safer and more effective climate intervention than conventional 25 km injection. Rapid downward–poleward transport distributes aerosols across 20–30 km, halving tropical stratospheric warming, reducing ozone recovery delays from decades to about 5 years, and enhancing global and polar cooling by over 20 %, while better preserving Arctic sea ice.

Synergetic retrieval from multi-mission spaceborne measurements for enhanced aerosol and surface characterization

Developed SYREMIS (SYnergetic REtrieval from Multi-MISsion instruments) approach is based on three main principles: (i) harmonization of the multi-instruments L1 measurements, (ii) their “weighting”, and (iii) optimization of the forward models and the retrieval setups. It substantially enhances aerosol and surface characterization from spaceborne measurements. The approach can be extended to future missions, including synergy with multi-angular, multi-spectral, and polarimetric measurements.

Water vapour dynamics as a key determinant of atmospheric composition and transport mechanisms

Humidification of air reduces the abundances of dry-air gas components such as oxygen, explaining why tropical humidity can be "stifling". This is overlooked due to the common expression of gas concentrations as fractions of dry air. Such neglect of water vapour also masks the key role of its sources and sinks in activating transport mechanisms of other gases. Humidity should be quantified whenever reporting gas concentrations.

Feedback-based sea level rise impact modelling for integrated assessment models with FRISIAv1.0

We present FRISIA version 1.0, a model for emulating sea level rise (SLR) and representing SLR impacts and adaptation in integrated assessment models (IAMs). FRISIA includes previously uncaptured coastal socio-economic feedback and a diverse set of impact strains, thereby improving the represenation of SLR impacts in IAMs. Here we describe the baseline behaviour of FRISIA, explore the effects of the additional feedback and showcase the coupling of FRISIA to an IAM.

How do geological map details influence the identification of geology-streamflow relationships in large-sample hydrology studies?

We show that geological maps with varying levels of detail may influence the identification of geology–streamflow relationships across European catchments at multiple scales. At the large scale, controls varied between basins, with no map consistently superior. At the intermediate and small scales, however, higher geological detail consistently strengthened correlations, particularly for baseflow signatures, with the regional map highlighting controls more consistent with process understanding.

Orbital-scale variability in the contribution of foraminifera and coccolithophores to pelagic carbonate production

We present new high-resolution data of the relative contribution of the two main pelagic carbonate producers (coccoliths and foraminifera) to the total pelagic carbonate production from the tropical Atlantic in past warm periods since the Miocene. Our findings suggests that the two groups responded differently to orbital forcing and oceanic changes in tropical ocean, but their proportion changes did not drive the changes in overall pelagic carbonate deposition.

Silicification in the ocean: from molecular pathways to silicifiers' ecology and biogeochemical cycles

Ocean Science
DOI 10.5194/os-21-3427-2025
11 December 2025

This review explores how various forms of marine life, from picoplankton to giant sponges, transform and control silicon to form silica-based structures, and how this process shapes the ocean silicon cycle. It also highlights the overlooked role of dynamic boundary zones where land, seafloor and ice meet seawater, and explains how combining biology and geochemistry can improve paleoceanographic proxies, biogeochemical models, and predictions of climate-driven changes in ocean productivity.

Constitution of a multicentennial multirisk database in a mountainous environment from composite sources: the example of the Vallouise-Pelvoux municipality (Ecrins, France)

Natural Hazards and Earth System Sciences
DOI 10.5194/nhess-25-4881-2025
10 December 2025

This paper proposes a methodology to develop a long-range multirisk database. Combining scattered pre-existing records and intensive research in historical archives provides a 1600–2020 record of past events in a valley of the French Alps. It goes far beyond any inventory existing in terms of number of events, temporal coverage and detailed description of events characteristics in a mountain context. Spatio-temporal patterns are analysed, opening perspective for multirisk assessment.

Global inductive magnetosphere-ionosphere- thermosphere coupling

The ionosphere is where Earth’s atmosphere overlaps with a gas of charged particles in space. There, collisions with neutral air and electromagnetic forces driven by the solar wind control plasma motion. We created a global model that includes magnetic induction, explaining how electric currents and fields change, offering a more accurate view of atmosphere–space coupling than conventional models based on electric circuits.

The influence of irradiance and interspecific differences on δ¹¹B, δ¹³C and elemental ratios in four coralline algae complexes from Aotearoa, New Zealand

We address the impact of light on four complexes of coralline red algae using boron and carbon isotopic signatures. We show that the four complexes up-regulated their δ¹¹B derived pH_CF relative to seawater by 0.6 to 0.8 pH unit but pH_CF was not directly impacted by light at the complex level. The differences in calcification between encrusting and branching complexes result from different photosynthetic regimes and carbon concentrating mechanisms, which would be inherent to morphologies.

The global importance of gas-phase peroxy radical accretion reactions for secondary organic aerosol loading

This work outlines an investigation into an understudied atmospheric chemical reaction pathway with the potential to form particulate pollution that has important impacts on air quality and climate. It suggests that this chemical pathway is responsible for a large fraction of the atmospheric particulate matter observed in tropical forested regions, but also highlights the need for further ambient and lab investigations to inform an accurate representation of this process in atmospheric models.

Clear-air turbulence derived from in situ aircraft observation – a weather feature-based typology using ERA5 reanalysis

Turbulence can occur in clear-air conditions at cruising altitude. From around 5000 clear-air turbulence events identified using aircraft measurements, nonlinear breaking of large-scale waves and rapidly ascending airstreams associated with cyclones are found concurrent with 40 % and 30 % of them respectively. The results further show that these weather systems may trigger turbulence by generating highly deformed flow or flow instability, improving our understanding of clear-air turbulence.

Conditions for instability in the climate–carbon cycle system

An increase in CO₂ in the atmosphere warms the climate through the greenhouse effect, but also leads to uptake of CO₂ by the land and ocean. However, the warming is also expected to suppress carbon uptake. If this suppression were strong enough, it could overwhelm the uptake of carbon, leading to a runaway feedback loop causing severe global warming. We find it is possible that this runaway could be relevant in complex climate models and even at the end of the last ice age.

Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research

Machine learning is being more widely used across environmental and climate science. This work reviews the use of machine learning in tropospheric ozone research, focusing on three main application areas in which significant progress has been made. Common challenges in using machine learning across the three areas are highlighted, and future directions for the field are indicated.

Including different mesozooplankton feeding strategies in a biogeochemical ocean model impacts global ocean biomass and carbon cycle

Mesozooplankton gather small current-drifting animals. They are very diverse and play key roles in the functioning of marine ecosystem and carbon cycle, especially through the production of rapidly sinking particles. Usually represented as one compartment, here we add three feeding strategies in an ocean biogeochemical model and investigate their impact on carbon cycle at global scale. We find distinct distributions between mesozooplankton types and diverse contributions to carbon export.

Uncovering the deep structure of the Koillismaa Layered Intrusion Complex, Finland using a novel 3D seismic survey

Solid Earth
DOI 10.5194/se-16-1437-2025
24 November 2025

We acquired and processed novel 3D seismic data to reveal the hidden structure of a deep rock formation in northeastern Finland. This study uncovered a complex, layered system rather than a simple magma channel, and identified a major fault that may influence mineral deposits. Our findings offer new tools and insights for exploring valuable underground resources in hard rock environments.