Research modeling the climate and its extremes. Covers climate extremes, ocean-dipole types, weather forecasting, and AI ecosystem monitoring.
Researchers evaluated global water models using new approach, finding inconsistencies in climate regions and water extremes, with implications for agriculture and groundwater use. The study highlights the need for improved model evaluation methods to inform decision makers and improve model development.
Estimates of current land-based emissions vary between scientific models and national greenhouse gas inventories, with a difference of 4-7 gigatons CO2. Countries need to achieve more ambitious climate action when comparing their national starting points with global models.
Researchers developed a simple linear formula to capture aerosol particles' hygroscopicity, which affects cloud formation and climate. The study used global measurements and model calculations, revealing that organic and inorganic materials determine aerosol hygroscopicity.
Researchers found that a more complex climate model projects stronger and sustained carbon uptake by plants until the end of the 21st century. This could lead to a larger impact on mitigating climate change through nature-based solutions like reforestation.
A recent study highlights the urgent need to address uncertainties in tropical cyclone projections due to climate change. The research emphasizes the importance of improving predictive capabilities to refine climate adaptation strategies and safeguard vulnerable coastal regions.
A research team employed deep learning techniques to scrutinize dam operation patterns, achieving remarkable accuracy in forecasting dam water levels. The study demonstrates the potential of an artificial intelligence model trained on extensive big data to surpass conventional physical models.
ECOTIP presented recommendations to enhance biodiversity monitoring in Greenlandic fisheries, focusing on data analysis and animal tissue samples. The recommendations aim to improve biodiversity monitoring in the Arctic region.
Researchers developed a neural network called Senseiver that can reconstruct large systems from small amounts of sensor data using low-powered edge computing. The model has broad applications across industries, including climate modeling, self-driving cars, and medical monitoring.
A new study maps uncertainty in current climate modeling and proposes a framework to better predict future global warming risk. International experts identify 26 distinct processes that could drive significant warming after net zero.
Research by Dominik Stolzenburg reveals that aerosols from volatile organic substances can cluster together to form condensation nuclei for water vapor. This process affects cloud density and global warming, potentially offsetting the effect of CO2 increases on climate change.
A new modelling study led by UCL researchers finds that faster Arctic warming will breach the global 1.5C and 2C temperature thresholds five and eight years earlier than expected. This accelerated warming adds substantial uncertainty to climate forecasts, highlighting the need for more extensive monitoring of temperatures in the region.
A new study reveals critical gaps in current plant demographic research, highlighting the need for more diverse data on tropical plant species. Climate models are only as good as the data they're based on, and current biases could lead to inaccurate predictions of how plants will respond to changing climate conditions.
A UNIGE team has developed a super-model to simulate the spread of three green technologies in Swiss municipalities by 2050. The results show that Switzerland is unlikely to achieve zero net carbon emissions by 2050 without significant policy changes, highlighting the need for increased efforts and updated policies.
Researchers found that climate models are accurate at simulating global temperature trends but struggle to capture regional variations, particularly over long periods. This disparity has significant implications for planning and implementing climate adaptation measures.
A new land change model simulates interactions between urban growth, increased flooding, and human adaptation, offering deeper insights into adaptive capacities and identifying communities with limited resources. The model reduces projected developed land exposed to flooding by 5-24% depending on flood hazard zone.
Researchers used a well-tested climate model to depict changes in natural climate variability during the last peak glacial period. The study found that internal mechanisms, such as variations in salinity and temperature, drove the multi-centennial climate variability, resulting in fluctuations in sea ice extent and Greenland temperatures.
A new research project will explore the potential for low-lying coral atoll islands to survive the impact of rising sea levels, contradicting previous forecasts. The five-year £2.8m ARISE project will conduct extensive field tests and laboratory experiments in the Maldives and Pacific.
A team of researchers at MIT has discovered a process where light can directly cause evaporation without heat, exceeding the thermal limit. This phenomenon could explain natural phenomena like fog and clouds, and enable new approaches to desalination.
The National Science Foundation has awarded $1.6 million to Emory University researchers to develop predictive models for farmers to adapt to climate change in Georgia, Iowa and Ohio. The project aims to create a public online tool to explore possible futures of agriculture at regional and state levels.
A new study finds that the global carbon budget for keeping warming below 1.5°C will be exhausted by 2029 if current emissions continue, committing the world to this level of warming. The remaining budget has approximately halved since 2020 due to increased greenhouse gas emissions.
Researchers from Texas A&M University's Department of Geography and collaborating departments aim to improve understanding of how environmental hazards influence human health outcomes. The project, 'Climate-LEAD,' will create robust models using localized data to inform decision-making in vulnerable communities.
Researchers will study past 'greenhouse' periods in the Arctic to understand the impact of an ice-free region on the environment and society. The six-year project aims to quantify changes in sea ice and land ice dynamics, as well as ecosystems, to inform climate projections.
Researchers created a rapid assessment tool, FAST, to estimate the depth of flooding and population exposure. The analysis estimated adaptation costs between $1.5-$3.6 billion for 7.4 million people affected by 1-2 meters of flood depth.
A recent study has found that 'hot model' climate projections for China have been overestimating the rate of warming. The research team developed an efficient method to correct this issue, resulting in projected temperatures 1.29 ℃ lower than initial estimates for the end of the 21st century.
Researchers found that reversing current warming trend within centuries may prevent ice sheet tipping. However, temporary overshooting can still lead to significant sea-level rise. The study suggests that acting fast and keeping temperatures below 1.5 degrees Celsius is crucial.
A recent study using SENTINEL-2 satellite images estimated burned areas with 96% accuracy, revealing a much larger area affected by wildfires than previously thought. This higher precision will help improve estimates of greenhouse gas emissions and inform fire management decisions.
A new computer model reconstructs the evolution of Alpine ice cover with unprecedented precision, allowing scientists to understand past climate interaction with glaciers. The simulation provides a direct visualization of phenomena, making them accessible to a wide audience.
Researchers found that adding a social cost to carbon emissions leads to a significant reduction in fertilizer runoff, resulting in improved water quality and a decrease in the Gulf of Mexico's dead zone. The study suggests that implementing a carbon price can help meet the US commitment to the Paris Accord while improving water quality.
Research investigates impact of storm fronts, tropical storms, and cyclones on ocean circulation, finding changes in atmospheric synoptic variability (ASV) slow down ocean circulation and decrease primary productivity. ASV variations also affect mixing of ocean's layers and strength of oceanic circulation systems.
A study reveals that variable C:N:P ratios of phytoplankton are essential for regulating dissolved oceanic nutrient ratios, while also influencing atmospheric CO2 levels on geological time scales. The findings challenge the commonly hypothesized strong link between phytoplankton and seawater nutrient ratios.
A long-term study compares data from two North Atlantic Current observation systems, revealing statistical connections and implications for regional temperature patterns. The findings suggest that a 25-year observational record provides a crucial foundation for future models of the Atlantic Meridional Overturning Circulation (AMOC).
Researchers analyzed 50 years of Bordeaux wine critic scores with weather data to show that warmer temperatures, higher rainfall, and earlier seasons yield better vintages. Climate change is predicted to increase these conditions, potentially improving wine quality, but water scarcity poses a risk.
A team of researchers analyzed ancient leaf waxes to study past rainfall and drought patterns. By comparing their data with climate models, they verified how well those models capture past climate change and improved the accuracy of future rainfall predictions.
New study uses flume-tank experiments to observe changes in sediment deposits and current velocities, revealing insights into past ocean currents. The findings have huge application potential for understanding climate, pollution transport, and benthic ecology.
Research reveals that Category 4 and 5 hurricanes are arriving three to four days earlier with each passing decade due to climate change. This shift in seasonal cycle can lead to compounding extreme events and challenges community preparedness.
A new study by the University of Oxford found that ancient carbon in rocks can release significant amounts of CO2 into the atmosphere, rivaling volcanic emissions. This discovery challenges current understanding of the natural carbon cycle and has important implications for climate change modeling.
Researchers developed a precise historical reconstruction of the Red Sea circulation using fine-grained regional data. The new analysis reveals new characteristics of current circulation, temperature, salinity, and oceanic behavior, improving decision-making for megadevelopments like those in Saudi Arabia.
Researchers say current models fail to project oxygen dynamics in coastal ecosystems with high photosynthetic activity, such as seagrass meadows and coral reefs. Fluctuations in oxygen levels have been observed in systems like the Venice Lagoon and Red Sea coral reefs, where marine species adapt to changing conditions.
Researchers have identified that ancient quakes occurred in shallow faults on the Puget Lowlands in western Washington, which could lead to another devastating event. The study used tree rings to pinpoint the dates of these quakes and found a link between them, suggesting regional hazard models may need to be updated.
A research team led by Yongjie Huang is exploring the complex interactions between convective clouds and their surrounding environments. They aim to understand how convection initiates and how convective cells interact with their environment, ultimately improving computer models for forecasting.
Research suggests that a merged supercontinent will lead to extreme temperatures, making most of the world uninhabitable for mammals. The team used supercomputer climate models to simulate temperature trends, leading to predictions of widespread heat stress and mortality in humans and other species.
A PSU study examines how atmospheric patterns influencing the weather won't necessarily become stronger or more frequent by the end of the century. Instead, warmer temperatures will lead to an increase in rainfall over the Pacific Northwest in most seasons except summer.
Researchers developed an environmentally extended general equilibrium model to analyze the impact of technological progress on climate change. The study found that technological progress in some sectors increases global emissions, while others decrease them.
Climate models project a weakening relationship between the Asian-Pacific Oscillation and winter precipitation in southern China. The study found that as the APO weakens, atmospheric circulation anomalies become unfavorable for precipitation in southern China.
Researchers will track how key minerals form in a watershed to build a fuller picture of the processes that allow soil to store carbon as organic matter. Understanding these mechanisms can help develop practices and incentives for a carbon market economy, potentially harnessing Earth's natural mechanisms to combat climate change.
By 2070, 44.61% of koala habitats in Australia will be highly susceptible to bushfires, up from 39.56% today. Koalas may struggle to survive due to habitat fragmentation and food source vulnerability.
A new model shows London's cooling demand grew by 5% per year between 1980 and 2022 as summers heat up, highlighting the need for preparedness and energy efficiency measures. The Demand.ninja model can also predict potential benefits of behavior change, such as reducing natural gas consumption and CO2 emissions.
A new study finds that human activities are impacting the planet, breaching six planetary boundaries and increasing the risk of triggering dramatic changes. The study highlights the need for a global focus on interactions between boundaries, particularly Climate and Biosphere Integrity.
Climate scientists simulated North African Humid Periods every 21,000 years driven by Earth's orbital precession. The study revealed that these humid events intensified the West African Monsoon system, resulting in the spread of savannah-type vegetation across the desert.
Climate experts predict a decline in tropical storm frequency by 50% by 2050 across the Ganges and Mekong basins, but an increase in intensity, with high-resolution models showing significant increases for intense storms. This shift could impact disaster risk mitigation and climate adaptation strategies.
A research study has unveiled a previously unknown mechanism that significantly influenced Earth's climate during the Cretaceous period. The movement of continents during this time caused a slowdown in large ocean currents, disrupting their ability to transport warm water from the equator to the poles.
Researchers at the University of Melbourne have developed a new simulation model that can predict flooding during an ongoing disaster more quickly and accurately. The Low-Fidelity, Spatial Analysis and Gaussian Process Learning (LSG) model can produce predictions as accurate as advanced models but at speeds 1000 times faster.
Climate change is altering Italian mountain forests, with trees potentially shifting uphill and species disappearing. The study found that some species, like the European larch and Turkey oak, may thrive in a warmer future, while others, such as the silver fir and European beech, are at risk.
The article discusses how artificial intelligence can enhance climate modeling by generating large ensembles of simulations at moderately high resolutions. This approach capitalizes on advances in computing and AI to learn from data, enabling more accurate predictions and reduced uncertainty. By focusing on resolutions between 10-50 km...
A global food system model suggests that consumer choices and climate-smart technologies can help achieve net negative emissions by 2050. The study estimates that a complete transformation could remove up to 33 gigatons of carbon dioxide each year.
A new study forecasts the impact of marine heatwaves on top ocean predators, revealing varied effects and potential redistributions across international boundaries. The researchers developed models to provide real-time predictions of how species shift during heatwaves, informing proactive climate-ready management strategies.
A new Northwestern University-led study finds that electrifying 30% of heavy-duty vehicles in the lower Great Lakes region, including Chicago, would significantly reduce pollution and save hundreds of lives annually. The benefits are largely concentrated in disadvantaged communities, where residents face disproportionate health burdens.
A new study finds that warming temperatures may triple groundwater depletion rates in India under a business-as-usual scenario, with approximately 60% of the country's irrigated agriculture depending on the threatened groundwater. The study calls for policies to conserve groundwater and reduce energy subsidies.
Agricultural flash droughts are anticipated to become more frequent due to climate shifts, driven by changes in temperature, relative humidity, and soil moisture levels. Hot spots for flash drought development have been identified in Europe, South America, and southern Africa.
Research reveals that Dansgaard-Oeschger events triggered drastic global changes in atmospheric circulation and precipitation, impacting tropical monsoon domains severely. The study's findings support improved models to represent abrupt climate changes, shedding light on the potential impacts of future human-made global warming scenarios.