Research modeling the climate and its extremes. Covers climate extremes, ocean-dipole types, weather forecasting, and AI ecosystem monitoring.
A new MIT study uses climate modeling to reconstruct global hurricane activity, finding a significant increase in North Atlantic hurricanes over the last 150 years. In contrast, global hurricane frequency remains unchanged. The study's findings suggest regional climate variations play a key role in shaping hurricane patterns.
A new international study by IIASA reveals that rapid emissions cuts in the next few decades can avoid temperature overshoot, plateauing global temperatures around the time of net-zero emissions. This approach also yields long-term economic benefits, with projected GDP increases of up to 2% in scenarios that avoid overshoot.
The North American Monsoon originates from the interaction of mountain ranges with extratropical atmospheric circulation, deflecting the jet stream and generating a stationary wave. This unique case has implications for models forecasting heavy rainfall events brought by the monsoon.
A new study suggests that the tectonic opening of Southern Ocean seaways led to a sudden cooling event 34 million years ago, contributing to the formation of Antarctic ice sheets. High-resolution simulations showed that this event caused a dramatic drop in coastal temperatures and initiated the Earth's transition into an Icehouse world.
A new framework assesses flood risk by integrating climate model outputs and hydrologic models to predict uncertainty. The study found that climate uncertainty dominates overall uncertainty, and areas prone to flooding in the future will be mostly the same as current ones.
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 team of researchers at the University of Rhode Island found that different types of phytoplankton respond differently to warming ocean temperatures. The study suggests that their growth rates and distribution patterns will be dissimilar, resulting in significant implications for future marine communities.
A new study from UMass Amherst suggests that changing land-use patterns in the greater Narragansett watershed can help mitigate the effects of climate change. The research found that expanding forest cover and investing in green infrastructure, such as rain gardens and living roofs, can reduce surface runoff and nutrient loading.
A new prediction framework can forecast extreme climate events like floods and heatwaves up to two days in advance, allowing for crucial preparation time. This network-based approach analyzes large-scale connectivity patterns in observational data to improve forecasting accuracy.
Researchers have developed a new method that uses deep neural networks to predict extreme heat waves with unprecedented accuracy, up to two weeks before they occur. This breakthrough has significant implications for risk management, planning, and warning systems, which will greatly improve public safety and support public policies.
A University of Arizona-led study reconstructs Earth's climate since the last ice age, highlighting unprecedented global temperatures and the speed of human-caused warming. The research combines two independent datasets to create a more complete picture of past temperatures.
The Department of Energy's Atmospheric Radiation Measurement mobile facility has relocated from Oliktok Point in Alaska to the southeastern United States. This move will allow for continued research on climate and weather models with a new fixed observatory at Utqiaġvik, formerly known as Barrow.
A new study has found that increasing temperatures and heavy rainfall reduce the prevalence of Varroa mite disease in UK honey bee colonies, while heavy wind reduces its severity. Climate change is predicted to impact the risk of European foulbrood disease, with a hot spot identified in the South West England.
A new Stanford-led study suggests that decreasing oil demand leads to larger-than-expected carbon reductions, as the impact varies depending on market factors. The research takes into account the global oil market's structure, including perfect competition, oligopoly, and cartel scenarios, to estimate climate benefits.
A new study published in Science assesses updated climate pledges and finds they could limit global warming to 2 degrees Celsius with a 34% chance. Even more ambitious targets would increase the likelihood of staying below 1.5 degrees Celsius.
A NASA study published in Nature Food projects that climate change will affect crop yields as early as 2030. Maize yields are projected to decline by 24%, while wheat yields could increase by 17%. The changes are due to rising temperatures, shifting rainfall patterns, and elevated carbon dioxide concentrations.
A statistical modeling approach highlights predictive importance of local climate and human activity in determining wildfire probabilities. The analysis uncovered key roles for climate, human activity, fire history, and short-term climate variations in fire-prone regions.
Researchers used computer simulations to predict the presence of hydroxyl radicals, which clean pollutants from the atmosphere. The study showed that traditional models had widely varying forecasts due to uncertainties in gas emissions, and that better models can aid in combating climate change.
A NASA/PIK study found that new climate conditions will push crop yields outside of their normal range in more regions, particularly in breadbasket areas. This could lead to severe losses for farmers unless they adapt quickly by changing planting dates or using different crop varieties.
Researchers create a multiscale model to track water quality indicators like nitrogen and mercury levels, incorporating biogeochemical reactions in microbially-active zones. They also develop 'stretchier' alloys by adding nano structures, which enhance strength and ductility, making them suitable for various applications. Additionally,...
Environmental engineers at Duke University demonstrated that sharp contrasts in small landscape features refine local weather developments and influence climate trends. The study suggests that incorporating detailed data can improve forecast accuracy.
A new high-resolution climate system model has improved the accuracy of simulating tropical cyclones, capturing more realistic features and reducing biases. The model's performance was evaluated using the CAS FGOALS-f3-H model, which showed excellent results in depicting global TC activities.
A Brazilian study reveals that forest fires and wildfires modify the freezing process of cloud droplets, altering natural cloud functioning and potentially impacting precipitation. The research used a large dataset to show that aerosols emitted by fires can affect cloud formation in southern Amazonia during the rainy season.
A new project led by Cornell University's Flavio Lehner will improve climate models to reduce uncertainty in future water projections. The research aims to assess the sensitivity of models to changing environmental factors, such as temperature and greenhouse gases.
Researchers used ancient climate reconstructions to improve understanding of climate system thresholds and predict abrupt changes. By applying paleoclimate information to Earth System models, they demonstrated improved accuracy in simulating past abrupt climate events.
A new study by ISGlobal provides robust evidence that COVID-19 is a seasonal infection linked to low temperatures and humidity. The research team found a negative relationship between the transmission rate of SARS-CoV-2 and both temperature and humidity at the global scale.
New research from the University of Arizona suggests that a slowdown in the Atlantic Meridional Overturning Circulation (AMOC) will intensify extreme cold weather in the US. The study found that without the AMOC, extremely cold winter weather would become more frequent and severe.
A study found that climate change increased the probability of heavy rainfall by 70% in Brazil's Minas Gerais state, leading to severe flooding, deaths, and massive damage. The extreme event caused over 90,000 people to be temporarily homeless and resulted in significant economic losses.
A team of researchers, led by Scott T. Salesky, will conduct field work in Antarctica to study the impact of katabatic winds on snow transport and ice sheet growth. The study aims to advance understanding of katabatic flows and their effects on regional and global atmospheric and oceanic circulations.
Researchers found that microbes' growth rate decreased over 15 years of warming, and a loss of soil carbon may be responsible for the slowdown. Rare bacterial taxa were among the fastest growers, highlighting the importance of considering different organisms' responses.
A new methodology creates a watershed-scale flood model based on LiDAR data, providing precise elevation readings and riverbed depth information. The system can predict flood conditions and provide warnings to area residents, making it applicable to large rivers and smaller streams.
Researchers warn that global warming could make the Amazon barren, the Midwest tropical, and India too hot to live in by 2500. Climate models project a future where vegetation and crop-growing areas shift towards the poles, leading to drastic changes and potential human fatalities.
Researchers have assessed climate factors affecting tea growth and quality at nine locations in Kenya and Malawi, predicting substantial increases in heatwave days but declines in cold nights. The study suggests tailored interventions and plant breeding programs can help producers adapt to future climates.
Scientists from Stellenbosch University found that phytoplankton are active during winter in the Southern Ocean, contradicting previous assumptions. This discovery improves predictive global climate models and sheds light on adaptation strategies of phytoplankton under adverse growth conditions.
A new climate model challenges the idea that Venus ever had oceans, suggesting high surface temperatures and limited solar radiation prevented ocean formation. The research team found that clouds on night-side Venus would actually maintain high temperatures through a greenhouse effect, further supporting this conclusion.
A new study finds that massive columns of smoke from a nuclear war would destroy much of the ozone layer over a 15-year period, with peak ozone loss averaging about 75% worldwide. This would lead to devastating effects on human health and food supplies, as well as terrestrial ecosystems.
A geologist from the University of Texas at Arlington is investigating the origin and climate importance of loess, a sediment formed by wind-blown dust, in Montana, Wyoming, and northeast Colorado. Her research aims to identify the sediment's source, when it appeared, and the climate changes that caused it to form.
Scientists have directly observed carbon-centered hydroperoxyalkyl radical (QOOH), a crucial intermediate product in climate change models and combustion engine design. The study's results improve understanding of oxidation reactions and their impact on atmospheric pollution.
A new study examines alternative scenarios and their potential impact on climate mitigation targets. The research suggests that retaining low-energy practices in lifestyle and business could reduce climate mitigation challenges, while missing these opportunities would lead to a more difficult energy transition.
New research shows that climate models are underestimating the warming effect of black carbon aerosols transported over the South-East Atlantic. The study, led by Dr Marc Mallet, found that biomass-burning aerosols can lead to an increase in absorbed sunlight, potentially warming the climate system.
The Woods Hole Oceanographic Institution is leading a new NOAA-funded project to investigate the role of western boundary currents in climate change. The study aims to improve climate models by quantifying oceanic and atmospheric variability in these currents, which have a significant impact on extreme weather and sea-level.
A new study projects that marine heatwaves will wipe out hundreds of thousands of tonnes of fish available for catch in a country's waters by the century's end. Researchers warn that extreme temperatures will exacerbate impacts on fisheries and human communities, leading to significant job losses.
Tropical rainforests have uneven biodiversity due to geological history and climate. Researchers used a new model to simulate species diversification, finding that historical dynamics of mountain building and climate change drove biodiversity distribution rather than current climate factors.
Researchers developed an AI algorithm that can assess climate change tipping points, predicting rapid or irreversible change in systems. The new approach can detect features of tipping points common to various complex systems, including ecology, epidemiology, and markets.
Researchers identified climate-resilient root, tuber and banana crop varieties with flexible planting dates to adapt to warmer and wetter conditions. Cassava, banana, and sweet potato are most adaptable, while potato growing areas are vulnerable.
Researchers at the University of Reading found that climate models underpredict regional temperatures and rainfall, particularly in the mid-latitudes, by neglecting extratropical wind variability. This increases uncertainty and likelihood of extreme weather events like heatwaves and droughts.
The new Fengyun-3E satellite provides 100% global data coverage, with 11 instruments on board to observe cloud, radiation, and more. China joins Europe and the US in sharing a global responsibility for early morning orbit observations.
A mathematical model developed at Linköping University predicts that many species in polar regions will become extinct due to global warming, with ecosystems already showing signs of strain. The model simulates the impact of climate change on species interactions and diversity, highlighting the importance of considering ecological proc...
A new study using Argo system ocean temperature data refines climate modeling predictions by identifying models most consistent with observations. The analysis shows that land and air temperatures only tell part of the story, with oceans storing 90% of the planet's heat.
A new study proposes a practical way of measuring how different nations should reduce carbon emissions to maximize worldwide wellbeing. The utilitarian approach assigns different emission reduction goals to countries based on their wealth and ability to grow and maintain citizens' health.
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 found a 12,000-year record of marine sediment cores in Antarctica showing fluctuations in sea ice levels affecting algae growth. Algal bloom events occurred nearly every year before 4,500 years ago, but became less frequent after 4.5 thousand years ago, responding to climate cycles like ENSO.
The article explores the potential of AI in improving climate modeling by proposing a hybrid approach combining classical and machine learning methods. Researchers found that AI can help improve forecasts, but limitations include computational resource requirements and uncertainties in predictions.
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.
MacBean aims to develop advanced predictive tools using satellite remote sensing, field experiments, and process-based models to understand dryland ecosystems' response to climate change. Drylands support 38% of the world's population but are sensitive to moisture availability.
Researchers are using tree rings and sediments to reconstruct Atlantic hurricane history over millennia. By combining these natural archives with global climate model simulations, they aim to refine the record of history's hurricanes.
A new study improves climate change cost estimates by considering annual climate variability and persistent economic damages. This advancement highlights the urgent need for climate action to mitigate the damage caused by greenhouse gas emissions.
A new study by Portland State University assesses strategies for the Hood River watershed to adapt to climate change. The researchers found that a combination of water banking, infrastructure improvements, and reflexive feedback mechanisms can achieve overall resilience.
A new study using convection-permitting models reveals improved simulations of precipitation and atmospheric circulation over the Tibetan Plateau. The models reduce the wet bias in simulated precipitation by 47% and improve the simulation of large-scale circulation, leading to better moisture transport into and out of the plateau.