Researchers developed a machine learning model using high-resolution satellite imagery to estimate aboveground carbon stocks in the Amazon. The study found that accounting for uncertainties in forest degradation classification led to lower estimates of mean carbon density, suggesting earlier estimates may have been over-optimistic.
Researchers studied ship tracks, which reflect sunlight and are formed by moving ships, to understand their benefits and risks of slowing climate change. They developed a mathematical model of ship tracks and found them to persist for more than 24 hours, longer than previously documented.
Researchers at Oregon State University have identified 27 amplifying feedback loops that significantly increase warming due to greenhouse gas emissions. The study calls for transformative changes in energy, transportation, food production, and international economy to meet climate challenges.
A new study warns that an irreversible loss of West Antarctic and Greenland ice sheets may be imminent if global temperature change cannot be stabilized below 1.8°C, leading to rapid sea level rise.
A new technique maps the effects of fire-induced permafrost thaw in Alaska, revealing widespread topographic change and vegetation shifts. The study used a machine learning-based approach to quantify thaw settlement across 3 million acres of land, with results showing a significant loss of evergreen forest and shrubland encroachment.
A new study uses Fourier analysis to understand how deep neural networks learn complex physics. By analyzing the equation of a fully trained model, researchers were able to identify crucial information about how the network learns and generalizes. This breakthrough could accelerate the use of scientific deep learning in climate science.
Tiantian Yang aims to develop an integrated solution addressing precipitation variability and uncertainty with a novel AI and data mining tool. His research will be tested in collaboration with U.S. agencies, aiming to better inform water management decisions.
A new study uses paleoclimate data to predict the impact of future climate change on land and sea. Terrestrial amplification, where land warms faster than sea, is estimated to be 40% larger over continents than oceans.
A new study predicts devastating socioeconomic impacts of future extreme coastal flooding on developing nations caused by climate change. Without adaptation measures, the number of people affected could increase from 34 million in 2015 to 246 million by 2100, with expected annual damage costing over five percent of national GDP.
A new study published in Geophysical Research Letters reveals that even dormant volcanoes release a surprisingly high amount of sulfur into the Arctic atmosphere. This finding has significant implications for understanding Earth's atmosphere and its relationship with climate and air quality.
Researchers used sophisticated models to estimate the peopling of Sahul, revealing a 10,000-year journey across the continent. The ancestors of Aboriginal people first entered the continent 75,000-50,000 years ago from Timor, expanding southward and northward to settle all parts of New Guinea and Australia.
New analyses suggest that climate change alters global precipitation and evaporation patterns, leading to increased sensitivity in river water availability. This study revises forecasting models by incorporating local measurement data from over 9,500 catchments worldwide.
Researchers found that benzene and toluene emitted by ocean plankton contribute significantly to aerosol production, increasing organic aerosols by up to 80% in the Southern Ocean. This biological origin of these gases is a significant factor in cloud formation and climate accuracy.
A team of researchers is using the Frontera supercomputer to develop medium to long-term fishery forecasts driven by high-resolution coupled climate forecasts. They find that changes to upwelling are predicted to be warmer, not colder, and may impact the sustainability of fisheries in the US and globally.
A new field campaign will provide crucial details on cloud and precipitation properties in the Southern Ocean. Scientists aim to improve climate models' accuracy with data from this region.
Researchers connected global climate modeling with local hydrological data to improve water flow models. They found that using smaller tree samples and younger trees yielded better model validation results.
A new study finds that global atmospheric dust has a slight overall cooling effect on the planet, hiding the full amount of warming caused by greenhouse gases. The UCLA research found that desert dust levels have grown 55% since the mid-1800s, counteracting warming effects.
Researchers analyzed relationships between snow cover and depth for three vegetation types in the Northern Hemisphere. Different interactions between land cover and snow processes were found, which climate models struggle to reproduce. This study highlights the need to improve snow parameterization schemes.
Research warns that ice roads will become unsustainable as the climate warms, threatening remote communities and industry. The thickness of ice needed to support transport trucks varies by region, with some areas experiencing a 90% decline in safe days of ice.
Researchers found that global wave models can vary in their estimates of extreme wave heights by up to 20 feet, which can lead to underprotected areas during extreme events. The study emphasizes the need for considering multiple models and modern observational data to better assess offshore and coastal risks.
The study reveals that achieving low forcing levels relies on negative CO2 emissions, particularly through carbon capture and storage methods. Regional contributions show the US, China, and EU as top contributors, with China's share projected to increase under future scenarios.
A recent study from researchers across 63 institutions, including Argonne National Laboratory, evaluated the impacts of various drivers on energy exchange in the Arctic. They found that vegetation type is a primary predictor of how energy is exchanged during the Arctic summer.
A team of researchers from Xi'an Jiaotong-Liverpool University and other institutions has identified a flexible and user-friendly model for predicting flood frequency in a changing environment. The fractional polynomial-based regression method is more effective than existing models, which often fail to account for factors like climate ...
A research team investigated NPF events in Beijing's atmosphere, discovering regional transport plays a vital role in creating 'polluted' NPF events. These events significantly impact air quality, climate, and human health, highlighting the importance of joint air pollution control measures.
A new study reveals that changing ocean circulation strengthens precipitation patterns in the Indian Ocean, leading to more intense flood events and droughts. The research suggests a mutual amplification of these effects due to global warming and weakened ocean circulation.
Climate-driven heating of seawater is causing a slowdown of deep circulation patterns in the Atlantic and Southern oceans, which could lead to a complete shutdown by 2300. This would intensify global warming and reduce ocean uptake of carbon dioxide, resulting in declining marine ecosystems.
A study by Brown researchers reveals how climate change can impact the Indian Ocean dipole, leading to extreme weather events like megadroughts in East Africa and flooding in Indonesia. The analysis compares long-term climate data with simulations from an advanced climate model.
Researchers warn that commonly used methods for estimating equilibrium climate sensitivity in complex climate models may be underestimating temperature rise. The study highlights the need for longer simulations to account for potential late tipping points, which could significantly influence global warming.
Researchers at the University of Basel have calculated that Andermatt-Sedrun-Disentis ski resort's 100-day ski season is unlikely by 2100 due to warmer winters. Water consumption for snowmaking will increase significantly, with an average winter requiring 540 million liters of water.
New study reveals marine algae adapt to nutrient-poor ocean conditions, sustaining productivity even in depleted waters. This 'metabolic hack' could impact global ocean productivity and carbon sequestration.
A new study reveals that certain types of lipids found in ancient fossils are produced by specific living bacteria. By identifying these microorganisms and understanding how they produce the lipids, scientists can create more accurate climate reconstructions. This discovery also sheds light on the early evolution of life on Earth.
By analyzing satellite imagery and tracking net primary productivity, researchers aim to predict how ecosystems will respond to climate change. Their model suggests that the rate at which ecosystems adapt to changing conditions is a critical component to reducing uncertainty about future projections.
An international team of researchers is exploring how human occupation and land use over hundreds of years affected the Brazilian Atlantic Forest, one of the world's most critically threatened tropical forests. The study aims to produce an 'atlas of human impact' using historical, archaeological, and ecological data.
Researchers have found that corals in the northern Red Sea have not experienced mass bleaching despite high heat stress due to their acquired temperature tolerance around 7,000 years ago. The region's reefs are expected to be among the last standing by the end of the century under projected warming scenarios.
Researchers used a new model to predict the environmental effects of increased desalination and climate change in the Gulf region through 2050. They found that while salinity increases may occur, their impact on marine life is unlikely to be significant.
Scientists analyze past El Niño events to better understand climate patterns over the past 12,000 years. They found that Eastern Pacific events have increased in frequency, while Central Pacific and Coastal events have decreased, resulting in changes in hydroclimate in the tropical Pacific.
A University of Houston researcher has developed a method to describe complex systems using the least number of variables possible, reducing complexity from millions to just one. This advancement speeds up science with efficiency and ability to understand and predict natural system behavior.
Researchers found that nitrogen-fixing trees experience 26% more herbivory than non-fixers, reducing their ability to alleviate nitrogen deficits in tropical soils. This selective feeding by insects and other animals limits the success of fixers and the nitrogen they provide.
A study by Hokkaido University reveals that the El Niño Southern Oscillation (ENSO) has caused more frequent heavy rainfall in the Mekong Delta, resulting in increased flooding risk. The findings suggest that better weather predictions and preparation can help mitigate the negative effects of floods and droughts in the region.
Researchers found that the Southern Hemisphere is stormier than the Northern, with a 24% difference attributed to ocean circulation and mountain ranges in the Northern Hemisphere. The study also shows that storminess has increased since the 1980s, consistent with climate change forecasts.
A new optimization model by GIST researchers reduces operating costs and load shedding in microgrids, achieving a 20% decrease in average ENS. The model accounts for variations and uncertainty in renewable energy supply using an ANN-based prediction model, with predicted power output accuracy of 9.7%.
The Southern Hemisphere is stormier than the Northern due to ocean circulation and mountain ranges in the Northern Hemisphere. Since the 1980s, storminess has increased in the Southern Hemisphere, while the Northern Hemisphere has seen negligible changes.
A study by the University of Reading found that up to 20-25% of UK land may be suitable for growing high-quality Chardonnay still wines by 2050. The regions with the best conditions are expected to be South East England, East of England, and Central England.
Researchers found that using coupled atmosphere-ocean-sea ice circulation models with observation-based datasets, they can predict Antarctic sea ice variability over decadal time scales. The initialization of subsurface ocean temperature and salinity fields significantly improves prediction skills, especially in the west Antarctic region.
A study from Nagoya University reveals that atmospheric secondary particle formation influences the number of cloud condensation nuclei in remote areas. This leads to a greater cooling effect by clouds on climate change. The research aims to improve climate model accuracy and predict future climate change.
Researchers at the University of Bern have developed a new method to determine necessary emission reductions on a continuous basis. The AERA algorithm adjusts CO2 emissions according to latest temperature data, enabling more precise calculations.
A four-year experiment combined with a 40-year observation in Inner Mongolia found that previous-year extreme droughts can create strong positive legacies for current-year community productivity. The mechanism driving this effect is the coupled increase of annuals and an early less, middle more precipitation pattern.
A new model reveals that warmer Arctic Ocean evaporation transports moisture south, leading to increased snowfall in northern Eurasia. The study sheds light on the mechanism of this phenomenon and its impact on severe weather events.
Researchers developed a modeling framework using remote sensing data to predict gully erosion susceptibility. They found that spatiotemporal changes in land cover and precipitation were crucial in predicting gully formation in agricultural areas, with 7.4% of the study area having an elevated risk of developing gullies.
A new study models likely future cliff retreat rates of two rock coasts in the UK, finding that rock coasts are likely to retreat at a rate not seen for 3,000-5,000 years. The researchers predict that rock coast cliffs will retreat by at least 10-22 meters inland due to accelerating sea level rise.
Climate models show promise in simulating sea level trends, but biases persist, particularly in reproducing interannual signals over subtropical regions. Higher model resolution reduces nearshore bias, highlighting the importance of improved ocean process representation.
Scientists have found early warning signals for climate tipping in the Amazon Rainforest, West-Central Greenland ice sheet, and Atlantic Meridional Overturning Circulation. The study provides a clear mathematical understanding of increased variability, sensitivity, critical slowing down, and being close to a tipping point.
A new study documents the central role of Arctic vegetation in warming for the first time. The researchers found that different types of vegetation have varying effects on surface energy conversion, with dry areas producing greater warming than wet areas.
A new study by UNSW and the University of Melbourne found that estimates of Probable Maximum Precipitation (PMP) for large dams in Australia are expected to increase by 14-38% on average over the next 80 years. This is due to climate change and outdated modelling, which has not been updated since at least 20 years ago.
A research team at UNIST has identified subtropical low cloud feedback as a key mechanism driving teleconnections between the Southern Ocean and tropical precipitation. Their findings suggest that this impact is stronger than previously thought, with implications for mid-latitude climate predictions.
New research finds climate change could lead to more frequent lightning strikes over mountains and Northern Europe, triggering increased wildfire risks. However, relatively fewer lightning hazards are expected over populated areas of Central Europe.
New research suggests that the world will probably warm beyond the 1.5-degree limit set by the 2015 Paris Agreement, but peak warming can be minimized by adopting more ambitious climate pledges and decarbonizing faster. The study models scenarios to explore what degree of warming would likely follow different courses of action, highlig...
The study found that the Northeast Greenland Ice Stream could add a half-inch or more of water to sea levels by the end of this century. The researchers used satellite data and numerical modeling with GPS data collected from the harsh interior of Greenland over the past decade.
Researchers found significant biases in climate models' simulation of long-term memory in temperature series, especially in equatorial and coastal regions. This may be due to imperfectly simulated coupled processes between oceans and atmosphere, leading to uncertainty in regional climate change predictions.
Researchers will develop a new model to describe complex soot particles in the atmosphere, improving accuracy in predicting climate warming caused by soot. The project aims to reduce uncertainty over soot's impact on climate change and air quality.