Articles tagged with Earth Systems Science
A mathematical analysis suggests that crossing a climate tipping point can lead to minor, stepwise changes in large, heterogeneous systems, rather than irreversible disasters. This finding challenges the widely-held assumption that tipping points always result in catastrophic consequences.
Researchers at UCI and NASA's JPL found that glacier grounding lines retreated at alarming rates, up to 12 km/year, due to high melt rates of floating ice in the Amundsen Sea Embayment. This process reduces basal resistance, speeding up glacier retreat.
Research from satellite data analysis suggests that three-quarters of the Amazon forest has lost its ability to recover from perturbations since the early 2000s. This loss of resilience increases the risk of dieback and contributes to global warming, highlighting the urgent need for limiting logging and greenhouse gas emissions.
Researchers propose new dynamic model suggesting thermal energy causes continental plates to drift, but the main driving force is supplied by a gravitational slip of the continental crust and hot mantle upwelling. This model explains why the opening of the Atlantic Ocean is wider in the south than in the middle.
Researchers propose that cognitive activity operating on a planetary scale is necessary to tackle global issues. A mature technosphere involves integrating technological systems with Earth through feedback loops, making it self-maintaining and exhibiting emergent behavior.
A study by University of Zurich researchers reveals Arctic warming causes temperature anomalies and cold damage thousands of kilometers away in East Asia, leading to reduced vegetation growth and smaller harvests. The warmer Arctic winters also trigger extreme winter weather events in the region.
A new Stanford University study reveals that communities near the West's wildland-urban interface are vulnerable to wildfires due to drought-sensitive ecosystems. The research identifies 18 'double-hazard' zones where plant-water sensitivity and atmospheric dryness create high wildfire risks.
Researchers at UNH found that reducing carbon dioxide emissions can preserve almost three weeks of snow cover and below freezing temperatures. This preservation is critical for woodland animals, preventing the spread of invasive pests, and maintaining ski resorts' ability to make snow.
Researchers discovered unexpectedly high concentrations of artificial radionuclides in cryoconite samples from the Blaisen Glacier, linked to Chernobyl and nuclear testing. The presence of organic matter from lemming populations may contribute to higher radioactivity levels.
Researchers use environmental DNA to monitor aquatic species near hydropower facilities, while also developing a novel method for printing full-strength steel components using additive manufacturing. These advancements could lead to more efficient and cost-effective monitoring and renewable energy production.
A new study estimates that there are approximately 73,300 tree species on Earth, with 9,000 yet to be discovered. The majority of these unknown species are rare and endemic to specific regions, particularly South America.
A study published in Scientific Reports uses fossilized mollusk shells to investigate ocean chemistry during the end-Permian mass extinction. The analysis found no signs of severe ocean acidification, contradicting previous theories.
Researchers detected 43 trillion miniature plastic particles in Switzerland every year, with estimates suggesting up to 3,000 tonnes of nanoplastics covering the country annually. The study reveals that nanoplastics originate primarily from urban areas and global emissions, posing potential health risks when inhaled.
Researchers developed a new avalanche forecasting method using computer simulations of snow cover, which can detect weak layers and identify hazard in a different way. The approach showed consistent results with observed frequencies over 16 years, offering potential to support forecasting in the future.
Researchers identified global factors explaining plant diversity in form and function, influenced by climate and soil properties. Characteristics such as size, structure, and life span were shown to be determined by these factors.
A Dartmouth team compiled a global-scale dataset to show how uncertainties over determining snow depth can actually improve predictions of water availability. The approach leverages observational and definitional uncertainties to make better assessments of snow droughts and their impacts.
Researchers used Rayleigh waves to produce high-resolution images of the rocks underneath the ice sheet, identifying key factors controlling ice flow. The study provides a better understanding of processes contributing to accelerated ice discharge into the ocean and sea level rise.
Researchers at Stanford University have demonstrated that measuring the physics of just a small portion of a coral reef can reveal insights about the entire reef system. This new approach provides low-cost methods for scaling up monitoring efforts, which are crucial for understanding the impact of climate change on these ecosystems.
The study found that climate change impacts are apparent in nearly all aspects of climate variability, including temperature extremes, precipitation patterns, and ecosystem changes. These changes have important implications for sustainable resource management and future adaptation strategies.
Research reveals Arctic rivers are discharging much more water than previously thought, with acceleration up to three times higher than estimated. The RADR project assimilates satellite information into hydrologic models for the entire pan-Arctic region.
A new dataset from Canterbury earthquakes provides over 15,000 case histories for liquefaction, significantly augmenting model training and testing. The dataset enhances hazard assessments and improves engineering solutions in earthquake recovery, benefiting society as a whole.
A recent study found that earthquakes and extreme rainfall lead to a significant increase in landslide rates in Nepal during the monsoon season. The research, published in Nature Communications, reveals that landscape damage caused by the April 2015 Gorkha earthquake increased landslide risk by six times.
Researchers found that warmer soil releases less carbon, but coarse-textured soils are more vulnerable to climate change. The study's findings highlight the importance of understanding soil types and their impact on carbon storage.
A research team analyzed seismic noise recorded over the last decade to better understand volcanic processes at Campi Flegrei. They found that directionality loss in noise data indicates the migration of deep fluids towards the eastern caldera, which triggers earthquakes.
Researchers developed an automated method to detect and date abrupt climate events in paleoclimatic data, facilitating the study of climate tipping points in the past. The new tool can help establish chronology of close events and eliminate uncertainties during comparisons of different paleo records.
MARUM researchers simulate alternative hydrocarbon formation through reduction of acetic acid, proposing a new explanation for unusual isotope patterns. The findings provide insight into the rapid thermal alteration of sedimentary organic matter and its role in the global carbon cycle.
Researchers identified 'hotspots' for flash droughts globally, including regions with high agricultural production, and found that half of the contributing factor is a lack of rainfall and hot weather conditions. This study provides a foundation to build off and explore key questions regarding future trends of flash drought occurrence.
The CriticalEarth project is a Marie Skłodowska-Curie Actions Innovative Training Network preparing 15 PhD students for studying critical transitions and tipping points in the Earth system. The network aims to investigate how complex mathematics can be used to predict and avoid irreversible climate change.
A new MIT study provides detailed information on the wave-damping benefits of marsh plants, enabling coastal restoration planners to determine the area needed for mitigation. The analysis incorporates plant morphology and interactions with currents and waves, providing a more quantitative way to estimate the value provided by marshes.
Researchers at UCI and NASA JPL found that a thinning of the ice melange, a slushy concoction of windblown snow, iceberg debris, and frozen seawater, is a major driver of ice shelf collapse. The study revealed that melange thinning can lead to rapid retreat of Antarctica's ice shelves.
Researchers at Aalto University created intricate shapes like letters by manipulating tiny metal balls with vibrating plates and energy fields. The smart algorithm efficiently guided the particles to achieve desired shapes, inspired by natural phenomena like wind and water.
The NYU-led Learning the Earth with Artificial Intelligence and Physics (LEAP) center will combine artificial intelligence and climate modeling to better predict climate change impacts. The center aims to provide more accurate climate predictions by analyzing satellite images, large-scale observational data, and developing new algorithms.
Researchers at Stanford University have discovered the physical mechanism behind icy plumes that precede severe thunderstorms and potentially deadly tornadoes. The study reveals a hydraulic jump phenomenon triggered by fluid obstacles in the atmosphere, leading to rapid water vapor injection into the stratosphere.
A new study published in Climate Dynamics analysis observational data and a large climate model found that the Earth's 11-year cycle is out of sync with solar fluctuations. The findings refute climate skeptics' claims that the sun plays a major role in global warming.
Researchers have created a global database of 63 tailings flows since 1928, revealing catastrophic events occur every two to three years on average. The study highlights the importance of understanding water-to-solids ratios and downstream terrain in preventing mass casualties and environmental damage.
A systematic review of 169 conservation projects worldwide reveals that Indigenous and local communities are crucial for successful nature conservation. The study found that equitable conservation approaches, empowering local communities, yield positive outcomes for both humans and the environment. However, complex factors such as comm...
A new assessment indicates that higher emissions will significantly impact Venice's flood risk, emphasizing the need for improved projections and protection infrastructure. The study highlights the importance of accurate sea level projections and the potential for extreme events like meteotsunamis to exacerbate flooding.
Scientists discovered that volcanic arcs, including chains like the Andes and Cascades, played a crucial role in regulating atmospheric CO2 levels over the past 400 million years. This natural feedback mechanism helped maintain a stable climate, but recent human-driven emissions have disrupted this balance.
A study published in Natural Hazards and Earth System Sciences analyzed tree rings from old-growth Douglas-firs on the Oregon Coast, revealing reduced growth following the 9.0 earthquake and subsequent tsunami in 1700. The findings confirm modeling of the quake's reach and provide insight into the impact of tsunamis on trees.
Researchers analyzed rock samples from Eastern Scotland to measure the strength of the geomagnetic field during key time periods. They found that between 332 and 416 million years ago, the field was less than a quarter of its current strength.
The Stoffenmanager and Advanced REACH Tool models have significant deficiencies in their use, affecting chemical safety assessments. The models are based on subjective parameter values and lack physical principles, leading to uncertainty in exposure values.
A recent study found that greenhouse gases from human activity and warmer North Atlantic Ocean temperatures contributed to the Northeast's increased extreme precipitation since 1996. The research used global climate model simulations and statistical methods to isolate the causes of the increase.
Scientists warn of unprecedented climate-related disasters and environmental degradation, highlighting the need for drastic reductions in greenhouse gases and transformational system changes. They advocate for a globally implemented carbon price, phase-out of fossil fuels, and strategic climate reserves to safeguard biodiversity.
EarthLab aims to simulate physical climate, environmental, and ecological systems for better predicting natural disasters and understanding Earth's spheres. The facility will enable researchers to predict Earth systems on a vast time and spatial scale.
Mineral nanoparticles exhibit enzyme-like properties, catalyzing superoxide and H2O2 production, influencing microbial-mineral coevolution and nutrient cycling. Their discovery challenges traditional views on nanomaterials' inertness in Earth systems.
Simulations show domino effects at up to 2°C global warming, increasing risk of irreversible climate change. Rapidly reducing greenhouse gas emissions is indispensable to limit risks of crossing tipping points.
The study proposes a coupling model of the five spheres of the earth system with the oxygen cycle as the core. Key findings include the link role of the oxygen cycle in shaping our current habitable Earth and its effects on modern and geological time scales.
The study revealed that ultrafine particles smaller than 100 nm in diameter play a significant role in haze formation, visibility, and air pollution. The researchers suggest controlling precursor vapors to alleviate the problem.
A model study suggests that abrupt shifts in ocean currents could occur decades before anticipated due to rate-induced tipping. This could lead to drastic changes in agriculture, biodiversity, and the economy. The findings highlight fundamental limitations in climate predictability and emphasize the need to limit CO2 emissions.
Sun and Tong's project aims to make AI workflows more shareable and replicable. The researchers will further develop the open-source GeoWeaver system into a stable operational platform for NASA's EOSDIS archive.
Scientists from the University of Helsinki investigated atmospheric particle formation in the Arctic, discovering how Arctic warming and sea ice loss strengthen processes that emit different vapors to the atmosphere. This study provides crucial insights into the consequences of global warming.
The new HPE-Cray EX supercomputer will be a 19.87-petaflops system, 3.5 times faster than the existing Cheyenne supercomputer, and will enable researchers to conduct advanced studies on climate change, severe weather, and other Earth system processes.
A study published in Nature Climate Change finds that climate change will alter the position of the Earth's tropical rain belt, with a northward shift expected in the Eastern Hemisphere and a southward shift in the Western Hemisphere. This shift may lead to increased drought stress in some regions and intensified flooding in others.
A recent study found that Asian water towers will struggle to quench the thirst of downstream communities despite more river runoff brought on by a warmer climate. Rising water demands from the growing population will outweigh warming in determining water scarcity in the Indus and Brahmaputra basins.
A new study explores long-term if-then-scenarios to quantify the effects of Arctic summer sea-ice melting on global warming. The research reveals that complete Arctic sea-ice melt could lead to an additional 0.2°C of warming, threatening climate goals.
The August Complex of fires has grown to over 1,000,000 acres burned, making it the largest fire in California's history. The complex is 58% contained and poses a significant threat to structures in several areas, including Hidden Valley and Wildwood.
A team of Penn State researchers suggests that simpler models may be a better choice for determining some climate risk due to their ability to better sample uncertainties. This approach can help decision-makers quantify risks more effectively, even if it means sacrificing some detail in the model.
A new paleoclimate record covering the last 66 million years has significantly improved our understanding of climate variability and predictability. The study confirms four distinct climate modes: hothouse, warmhouse, coolhouse, and icehouse.
A new method combines Deep-Learning, hydrological models and Earth observations to quantify small as well as large-scale changes to the water storage on the South American continent. The study shows that the method is particularly reliable for tropical regions, where rain forests and vast surface waters are located.
The application of data assimilation in Earth system science has improved observability and predictability of the Earth system. The methodology of data assimilation reflects the harmony between reason and experience.