Researchers found that incorporating Antarctic radar observations into weather forecasting systems improves forecasts of atmospheric circulation and atmospheric rivers over the Southern Hemisphere. The study used continuous wind observations from the PANSY radar to demonstrate the value of high-frequency measurements for weather foreca...
Researchers at the University of Tokyo have demonstrated that incorporating satellite measurements of water vapor isotopes into weather models improves forecasts of atmospheric conditions. This addition leads to more accurate weather forecasts, particularly for heavy rainfall predictions.
Researchers integrate AI into local monitoring sensors to track ecosystem health in near real-time, reducing delays of months to years. The project enables faster release of accessible flux data, helping scientists understand ecosystem responses to change and inform land management decisions.
Researchers used X-band phased-array radar data to improve tornado simulation capabilities, enhancing disaster risk reduction in vulnerable regions. The study found that assimilating radar wind data strengthened the storm's spinning motion, predicting the tornado's path most accurately.
Researchers identified a recurring setup of atmospheric conditions that lead to prolonged periods of intense rainfall. The study found that existing operational weather forecasts can capture these large-scale patterns, paving the way for more accurate predictions of high-impact southwest monsoon events.
A team of 23 researchers from 14 nations identifies three research priorities: winter aerosols, clouds, and feedback; winter storms and sea ice interactions; and polar-global teleconnections. These processes are highly under-observed due to their high variability and logistical challenges.
A new study finds that a slowing Atlantic Ocean current will strengthen powerful storms in California while reducing snowfall over Greenland. The Atlantic Meridional Overturning Circulation's weakening is projected to increase atmospheric moisture and high-altitude winds, creating more destructive atmospheric rivers.
Researchers propose 'nudges' could alter hurricane tracks, weaken freezes and reduce extreme rainfall through carefully-timed cloud seeding operations. The approach aims to complement conventional disaster management and encourage more favorable outcomes from potentially devastating weather events.
New global kilometer-scale models have improved storm simulations, capturing details like system duration, propagation speed, and rainfall intensity. However, the models share biases, producing too many short-lived, small-scale MCSs with intense rainfall rates.
New studies reveal potential for 30-day forecast accuracy boosts using machine learning and explore the impact of vegetation on ocean currents during the Little Ice Age. Researchers also find that La Niña events can slow global warming by amplifying each other's cooling effects.
Researchers at Arizona State University have developed an online tool called Cool Routes that uses real-time weather forecasts and shade data to find the coolest paths for walkers. The tool has been shown to reduce heat exposure by up to 4.5 degrees, making hot-weather walking less of an ordeal.
Research from the University of Gothenburg has found that spring storms in Europe are becoming more common, with a shift towards more intense and frequent winter storms. The study, which analyzed historical weather data from 1940 to 2024, suggests that Arctic sea ice reduction is a key factor contributing to these changes.
A new study finds that hail conditions are changing due to global warming, with warmer regions experiencing a decrease in summer hail risk and cooler regions facing an increase in winter hail risk. The shift is attributed to changes in atmospheric conditions, including the melting of frozen hailstones and the formation of stronger storms.
Researchers found that small-scale thunderstorms strengthen over cities, while cold frontal storms weaken their rainfall intensity. Urban heat and roughness disrupt the lower part of storm systems, leading to varying effects on different types of storms.
Scientists are calling for a fundamental rethink of climate and biodiversity models to address the scale and complexity of crises ahead. The current models focus on incremental change rather than transformative transformations needed for a safe and just future.
Recent studies investigate the relationship between weather conditions and extreme events like heat-related mortality, tropical cyclone hazards, and changes in precipitation patterns. Researchers also explore new modeling methods to predict visually appealing atmospheric phenomena like 'ornamental twilight'.
A high-resolution model developed by University of Pennsylvania researchers shows that river levels once expected every 50 years now occur every few years due to climate change. The 1-in-100-year threshold marks a tipping point when flooding spreads rapidly across the urban landscape.
Researchers from UNIGE and KIT found that traditional numerical models remain more reliable for predicting extreme phenomena than AI-based forecasts. The study highlights the limitations of AI weather models in extrapolating beyond their training domain, making them less effective for record-breaking events.
Researchers develop new concept to accurately model wind turbine loads, focusing on local gusts' impact on material fatigue. This enhances turbine design and efficiency by reducing uncertainties in load estimations.
New research from the American Meteorological Society explores AI forecasting limits, the impact of climate change on hurricane trends, and simplifies the heat index. The studies find that machine learning can outperform numerical physics-based models in certain conditions, but not universally.
Researchers from Colorado State University found that tiny particles bubbling up from melting sea ice in the Arctic sky can create clouds, providing a platform for water vapor to freeze onto. This discovery sheds light on why Arctic clouds behave differently and could help improve weather modeling and climate change predictions.
Researchers have identified fungal proteins that can catalyze ice formation at high subzero temperatures, making them a potential alternative to toxic silver iodide in cloud seeding. The discovery could lead to safer weather modification and improved food preservation techniques.
Researchers investigated the Mississippi River's hydrological trends, ocean carbon storage, and gender dynamics in flood mortality. A study found that precipitation increases, but soil moisture decreases, while high-resolution models reveal stronger Southern Ocean carbon absorption. Additionally, data showed men are overrepresented in ...
New study evaluates two prominent AI global weather models, finding they excel at forecasting storm tracks but struggle to reproduce realistic wind patterns and storm intensity. The researchers emphasize the need for bias corrections and interpretation to improve AI forecasting accuracy.
A new study finds that the amount of time per year that extreme heat makes it unsafe to go about daily life has doubled since the 1950s, with younger adults facing 2x more hours of heat-related limitations, while older adults face 50% more
Researchers developed Zephyrus, an AI agent capable of analyzing and answering questions in natural language about weather and climate data. The agent can handle language-based queries, translating them into code and generating plain language answers.
A study by Newcastle University found that UK winters are becoming significantly wetter, with a 7% increase in rainfall per degree of global warming, driven by rising temperatures from anthropogenic warming. The experts warn that this trend will continue to worsen, increasing the risk of flooding and economic damages.
Salesky's research team will address uncertainty in how turbulent processes contribute to cloud formation by using simulations to replicate turbulence and test environmental conditions. The study aims to improve civilian and military weather forecasting models, with significant implications for precipitation and severe weather.
Researchers at Newcastle University and the UK Met Office identified a three-layered atmospheric structure associated with heavy rainfall developing within minutes. The findings help explain record-breaking rainfall and flash floods in the UAE and Oman in April 2024, and may aid future improvements in identifying risk.
Researchers at the University of Kansas have developed a tornado-forecast system called Warn-on-Forecast System (WoFS) that can predict tornado formation up to an hour before it occurs. The system uses high-resolution simulations and gauges uncertainties, providing guidance on severe weather threats.
Residential wood burning accounts for over one-fifth of wintertime exposure to outdoor fine particulate matter, linked to increased risks of heart disease and premature death. By reducing indoor wood burning, Americans could decrease outdoor air pollution and save thousands of lives.
Researchers recommend shifting Olympic and Paralympic Games to earlier dates to protect fairness and safety for athletes. Snowmaking is also seen as a crucial adaptation strategy to ensure the viability of snow sports.
Recent research reveals that volcanic eruptions can cause unpredictable weather patterns, including volcanic rain, dust storms, and unstable Antarctic air. The study also found that the Antarctic surface atmosphere has become less stable and more prone to gravity waves since the 1950s.
A team of researchers used innovative approaches, including public data and machine learning models, to create more accurate predictions of coastal erosion and infrastructure damage. The project aims to improve storm preparedness and timeliness.
Scientists developed an objective index for monitoring and detecting shear lines over the Philippines, accounting for up to 20% of extreme rainfall days. The detection method is useful for weather forecasting, early warning systems, and understanding how this weather system evolves.
The 106th Annual Meeting of the American Meteorological Society will focus on the intersection of technology and human decision-making in weather, water, and climate sciences. The meeting will feature keynote presentations, Presidential Sessions, and named symposia highlighting key Earth science topics.
Researchers investigate how adjacent cities exacerbate each other's heat island effects. A study also highlights the need for improved hindcasting infrastructure in climate science. Additionally, a campaign monitors pinned clouds over industrial sources of heat and finds that trees are more reliable against heat stress than buildings.
Researchers at RIKEN successfully simulated the Milky Way Galaxy with over 100 billion individual stars, far surpassing previous state-of-the-art models. This achievement demonstrates the power of AI-accelerated simulations in tackling complex multi-scale problems in astrophysics and beyond.
A dual-source data-driven gated spatiotemporal fusion network significantly enhances the accuracy of fine-scale lightning forecasting. The model combines the strengths of weather foundation models and recent lightning observations, leveraging complementary features to improve forecast performance.
A new study developed a flood-forecasting AI that can be tuned for any country, reducing errors in national flood prediction programming. The hybrid model combining the AI with the National Water Model was four to six times more accurate, improving forecast accuracy and potential economic impacts of floods.
Scientists at Rice University and NSF NCAR are developing a new climate model that can track water's unique fingerprints, providing insights into the water cycle and its impact on climate systems. The project aims to better understand how much rain falls, where moisture comes from, and how it travels through the atmosphere and oceans.
A new study by Bournemouth University confirms that red squirrel populations across Europe are resilient to the effects of climate change, but highlights the need for conservation efforts to protect their habitat. The study found that temperature changes and low rainfall do not directly affect the survivability of red squirrels.
Researchers from the University of Maryland tracked lightning storms in real-time using NASA's TEMPO instrument, detecting nitrogen oxide emissions that affect climate and air quality. The study reveals how lightning can produce pollutants that travel long distances, influencing air quality far from the original storm.
A new AI system developed by the University of Miami Rosenstiel School can automatically identify and track tropical easterly waves, separating them from other tropical wind patterns. The model combines historical observations with reanalysis data to produce accurate real-time forecasts.
Tiny droplets of sea spray can affect hurricane intensity, but measuring their concentration and size is challenging. Researchers at the University of Texas at Dallas are using lab experiments and simulations to develop a machine learning model that incorporates these factors.
A new framework developed by Northwestern University and UCLA scientists integrates various water-related processes with a machine-learning model to predict landslide threats. The framework identifies three main pathways leading to landslides: intense rainfall, rain on already saturated soils, and melting snow or ice.
Researchers estimate that lightning kills around 320 million trees each year, resulting in significant biomass loss. This equates to an annual emission of 0.77-1.09 billion tons of CO₂, comparable to the emissions from wildfires.
A team of scientists has developed a high-resolution climate model that simulates global climate change at 9 km atmospheric and 4-25 km oceanic scales. The model demonstrates superior performance compared to lower-resolution models, providing detailed regional insights into future climate conditions.
A study predicts that Barcelona will experience extreme and dry heat periods with temperature increases of up to 4ºC and a general reduction in relative humidity. The research forecasts an increase in average maximum temperatures of 4ºC and average minimum temperatures of 3.5ºC if greenhouse gas emissions are not drastically reduced.
A new study published in Weather and Forecasting found that Hurricane Hunter flights can increase forecast accuracy by up to 24 percent. The researchers analyzed forecasts for all tropical cyclones in the Atlantic basin from 2018 to 2022, comparing forecasts with and without NOAA G-IV data.
Researchers have made significant breakthroughs in understanding the complex interactions between climate drivers and the Southern Hemisphere's Eddy-Driven Jet. By analyzing historical data and applying innovative statistical methods, they found that 50% of the observed shift in the jet stream is directly attributable to global warming.
Researchers found several volatile phases in the polar jet stream over the past 125 years that predate significant climate change effects. The study suggests that natural fluctuations may be driving recent erratic behavior of the jet stream, rather than climate change.
A new study predicts that a 2°C temperature rise could double the frequency of short-lived summer downpours in the Alpine region, causing severe damage and posing risks to lives. The analysis of nearly 300 mountain weather stations found that warm air retains more moisture, intensifying thunderstorm activity.
Researchers at Uppsala University predict that concurrent extreme events will become more frequent due to climate change, posing new challenges for preparedness. The study examines six types of events and finds a sharp increase in combinations of heatwaves and forest fires, as well as heatwaves and droughts, in various regions worldwide.
A new study finds that increasing atmospheric evaporative demand is making droughts 40% more severe globally over the past 40 years. As the atmosphere warms, air can hold more moisture, leading to increased water demand and pulling more water from soils, rivers, and plants.
A new study from Caltech finds that the Atlantic meridional overturning circulation, commonly referred to as the AMOC, will weaken by around 18 to 43 percent at the end of the 21st century. This represents a limited decline, rather than substantial weakening as previously predicted, addressing a long-standing uncertainty in climate sci...
A new study projects that wind losses for homeowners in the Southeast will increase by 76% by 2060 and 102% by 2100. Texas is expected to experience the highest increase in losses, followed by Louisiana, Mississippi, and Alabama.
A team of researchers developed a machine learning model called Aurora that accurately forecasts various Earth systems, including air quality and tropical cyclone tracks. The model outperforms traditional systems at a fraction of the cost, enabling better preparedness for extreme weather events.
A new study reveals the atmosphere can store moisture over extended periods, creating a physical memory effect. This 'memory' allows monsoon systems to flip between two stable states, with severe consequences for regions relying on monsoon rainfall.
The American Meteorological Society warns that catastrophic cuts to federal science agencies like NOAA threaten the US weather enterprise, which supports public safety, private sector operations, and national security. A strong weather enterprise is essential for America's economic leadership.