Researchers at UAlbany are exploring the use of stable water isotopes to improve weather and climate forecasts. By analyzing differences in isotope masses, scientists can track moisture movement and understand related processes.
CCOR-2 is designed to provide high-fidelity coronal imaging and detect Coronal Mass Ejections (CMEs) closer to the solar disk. This will enable accurate measurements of coronal density and velocity, ultimately improving space weather forecasting capabilities.
A recent study demonstrates significant gains in forecast accuracy using a hybrid Shanghai Typhoon Model, which combines the strengths of both physics-based and machine-learning weather prediction models. The model achieved substantially lower track errors than state-of-the-art models during Typhoon Danas in 2025.
The UK's new weather-health alert system has been deemed successful in supporting vulnerable groups, but minor confusion remains around its color-coded warnings. Researchers identified areas for improvement, including clearer yellow alert scales and simplified alerts for rapid use on the ground.
A team led by Joe Ripberger from the University of Oklahoma aims to create a unified national approach to wildfire warnings. The project will focus on understanding fire and atmospheric interactions, social and behavioral science questions, and building a transdisciplinary network with practitioners and researchers.
The SwRI-built Solar Wind Plasma Sensor (SWiPS) and Space Weather Follow-On Magnetometer (SWFO-MAG) will capture real-time data on solar wind and magnetic field changes to monitor space weather phenomena. This data will support NOAA's Space Weather Prediction Center and help predict potential impacts on Earth's magnetic field.
A study published in Nature Communications found that rising global temperatures may increase migration rates by up to a quarter among older and less educated adults, while decreasing them by as much as a third among the youngest and least educated groups. The research analyzed over 125,000 cases of cross-border migration and found tha...
The University of Maryland is developing an AI-powered early warning system to help communities prepare for and respond to diarrheal disease risks exacerbated by extreme weather events. The system will provide timely, actionable information to public health agencies and local leaders using integrated weather, health, and demographic data.
Researchers analyzed decades of global weather data to show that African easterly waves strengthen and produce more thunderstorms during La Niña years, impacting local weather patterns and Atlantic hurricane activity.
Compound heat and air pollution episodes are becoming more frequent and intense in US cities, posing a significant threat to public health. The study found that urban areas experience more frequent overlaps of extreme heat with harmful air pollutants than surrounding rural areas.
A new study uses Artificial Intelligence to refine coarse atmospheric data into sharper 3D humidity maps, reducing errors by more than half. The approach also offers transparency, revealing where the AI
This study develops an extreme high-temperature weather index to predict INE crude oil futures prices, finding improved accuracy with the index. Machine learning models are also made more explainable to provide insights into their predictive mechanisms.
Researchers used space-based instruments to measure a record-setting megaflash spanning 515 miles from Texas to Kansas City. Megaflashes are rare, occurring less than 1% of the time, and can be deadly, striking people up to 15 miles from their storm origin.
Researchers developed a novel deep learning-based framework that improves five-day regional weather forecasting accuracy, even with limited data. The method achieved significant improvements in temperature, precipitation, and wind speed forecasts, outperforming mainstream global AI models.
Researchers at KIT have developed a new AI method that generates high-resolution precipitation maps from low-resolution data, offering improved assessments of regional climate risks and disaster control. The model provides physically plausible precipitation maps with statistical uncertainty, applicable to diverse climatic conditions.
The UK is launching its first solar storm monitor, UK-ODESSI, to strengthen its position in space weather observation and forecasting. The mission will deploy a suite of homegrown scientific instruments on a low-cost spacecraft in low-Earth orbit, including a coronagraph and high-energy particle instrument.
A new study published in Nature Climate Change found that most people are more likely to support climate policies if they see a connection between extreme weather and climate change. Strong support was observed in African and Asian countries, as well as among individuals who attribute extreme weather events to climate change.
Scientists at the Naval Research Laboratory are working with NASA to better understand pyrocumulonimbus clouds, which can inject smoke into the upper atmosphere and alter weather patterns. The Injected Smoke and Pyrocumulonimbus Experiment (INSPYRE) aims to enhance predictive weather modeling through detailed analysis of wildfire-induc...
The Florida Atlantic University Sensing Institute's SEA Econet network provides accurate rainfall and flood forecasting, supporting public safety during severe weather events. With over 160 atmospheric stations and more than 30 water-level stations across Florida, the network delivers real-time data to inform forecasts and warnings.
A new study from Goethe University confirms that climate change and extreme weather events are devastating amphibian diversity. Analysis of global weather data reveals a direct connection between increased heat waves, droughts, and declining salamander populations.
A new study by UChicago scientists found that AI-powered weather prediction models are remarkable but not magical, struggling to predict unprecedented weather events. The model can achieve impressive accuracy for short-term forecasts but fails to extrapolate beyond existing training data, leading to false negatives and potential mispre...
A new study finds connections between extreme weather events and HIV vulnerabilities, including increased transactional sex, reduced condom agency, and LGBTQ stigma. Researchers studied 21 sex workers and 15 gbMSM in Nairobi, Kenya, revealing interrelated links between climate change-related resource insecurities and HIV risk.
Researchers at Kyoto University found that reducing urban heat release can control summertime local precipitation, with potential to mitigate extreme weather issues. By systematically decreasing sensible heat fluxes over urban areas, the team demonstrated a link between urban heat island effect reduction and less intense rainfall.
A recent University of Georgia study found that a popular smartphone application frequently reports lower temperatures than direct on-site measurements, potentially leading to safety concerns. The app also underestimated the necessity of activity modifications to mitigate heat-related risks.
The risk of wildfires is increasing due to climate change, leading to overlapping fire weather seasons in the two regions. The number of simultaneous fire weather days has been increasing by one day per year for the past 40 years, with projections suggesting an increase of up to 29 days per year by mid-century.
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.
The proposed elimination of NOAA Research would drastically undercut the scientific backbone needed for accurate weather forecasts and services. Key stakeholders like the American Meteorological Society and National Weather Association urge action to maintain competitiveness in weather forecasting.
Recent research highlights increased fire activity in the western US, with wildfires becoming less prone to calming down at night. Meanwhile, extreme turbulence on hurricane flights has led to a new 'bumpiness' metric. Climate extremes are also evident in shifting energy demands for heating and cooling in Chinese megacities.
Researchers evaluate traditional precipitation phase partitioning methods and machine learning models, revealing near-freezing temperatures create inherent limitations in distinguishing between rain and snow. Accurate identification is critical for weather forecasting, hydrologic modeling, and climate research.
A new poll found that nearly 3/4 of older Americans have experienced at least one extreme weather event, increasing their concern about climate change's effects on their health. Those who lived through such events are more likely to express worry about the impact on themselves and future generations.
Aardvark Weather, a fully AI-driven system, delivers accurate forecasts tens of times faster and using thousands of times less computing power than current systems. The new approach transforms weather forecasting, providing bespoke forecasts for specific industries or locations.
A team of researchers has developed a toolkit to predict extreme weather events by combining conventional records with historical and natural archives. By analyzing tree rings, creating 'what-if' scenarios, and using climate models, scientists can now reconstruct centuries of drought patterns and uncover forgotten weather extremes.
The US weather enterprise faces significant risks due to federal science funding cuts, which could lead to reduced weather forecasting accuracy and increased vulnerability to hazardous weather. The value of weather information to the US economy exceeds $100 billion annually.
The European Centre for Medium-Range Weather Forecasts (ECMWF) has launched an Artificial Intelligence Forecasting System (AIFS), providing the greatest granularity in weather prediction models. The AIFS outperforms state-of-the-art physics-based models, achieving gains of up to 20% in tropical cyclone tracks.
Record-breaking temperatures and devastating floods ravaged Southern Appalachia in 2024, claiming lives and destroying homes. The region faced unpredictable conditions, including scorching heat and heartbreaking losses from flooding.
A new study improves solar power forecasts by applying machine learning and post-processing techniques to weather models, revealing the time of day as a crucial factor for accuracy. The research suggests that including hourly data in algorithms can significantly enhance forecasting results.
Researchers investigated the impact of AI weather models' lateral boundary conditions on convective-scale ensemble forecasts, finding comparable performance to traditional models. Reducing the vertical resolution of these conditions led to inferior forecast results.
Researchers examined 16th-century written sources to understand climate change in Transylvania. The study found that hot weather was recorded more frequently than cold weather, with extreme events like floods and famines occurring due to climate variations.
A new study by scientists at the University of Rochester suggests that atmospheric wind has a surprising impact on ocean eddies, which are circular currents of water about 100 kilometers wide. The research reveals that wind can both energize and dampen eddies, depending on their spin direction.
A new study by the University of Surrey found that warmer temperatures and certain weather conditions are associated with an increase in Salmonella cases. The research, which considered data from England, Wales, and the Netherlands, suggests that climate change is playing a significant role in the spread of this foodborne illness.
Researchers evaluate drones' potential for long-term daily collection of meteorological data, showing promising results and cost-effectiveness. The study demonstrates that drones can provide accurate measurements comparable to traditional methods, improving the accuracy of numerical weather predictions and disaster prevention.
A study found that large-scale power outages commonly occur alongside severe weather events in the US, particularly during heavy precipitation and heat. The researchers suggest that understanding patterns of co-occurring outages and severe weather events is crucial for developing mitigation and response tactics.
A study found that nearly 75% of US counties experienced major power outages alongside severe weather events between 2018-2020. Severe precipitation and heat were most common triggers for outages, with regional patterns varying across the country.
Researchers have identified a critical link between tropical ocean temperatures and rainfall patterns in the Middle East, shedding light on the complexities of forecasting seasonal weather. The study found that positive phases of the El Niño Southern Oscillation and Indian Ocean Dipole significantly increase rainfall, while negative ph...
Researchers developed an energy-autonomous facade system that adapts to weather using bioinspired design and additive manufacturing. The 'Solar Gate' system harnesses hygromorphism, a property of cellulose, to open and close autonomously without electrical energy.
A team led by the University of Tokyo has created a nearly 20-year-long dataset of the entire atmosphere, enabling new research on previously difficult-to-study regions. The dataset spans multiple levels of the atmosphere from ground level to the lower edge of space and could improve climate modeling and seasonal weather forecasting.
Climate change is associated with poorer HIV prevention outcomes, including reduced testing and increased risk behaviors, leading to higher new infections and poorer treatment adherence. Researchers identified links between extreme weather events and HIV-related challenges, emphasizing the need for innovative interventions and strategies.
The 105th Annual Meeting of the American Meteorological Society will address key issues in weather, water, and climate. The meeting features a Presidential Forum on physical, social, cultural, and economic impacts of climate change, with experts from the region of the Mississippi River Delta.
Research suggests that numerical weather prediction models require improvement in simulating vector winds, with a study finding the ECMWF model outperforms the CMA-MESO model in forecasting vector wind fields. The study also highlights the importance of evaluating wind field variability for better wind power predictions.
The development of magnetometers by Southwest Research Institute will measure the interplanetary magnetic field carried by the solar wind and provide critical data for NOAA's Space Weather Prediction Center. The instruments will help mitigate space weather impacts on electrical power grids, satellite communication, and navigation systems.
Researchers at the University of Colorado Boulder have discovered that relatively warm and sunny days may help to trigger major dust storms on Mars. The team found that roughly two-thirds of these storms are preceded by a sharp rise in surface temperatures, which can lead to explosive weather patterns.
A new study from Tel Aviv University uses smartphone data to predict wildfire risk, overcoming individual device errors by averaging large amounts of public data. The method provides valuable insights into wildfire evaluation, especially in remote areas lacking traditional weather stations.
SwRI's novel Space Weather Solar Coronagraph (SwSCOR) will provide early detection and characterization of Earth-directed coronal mass ejections (CMEs), helping to predict geomagnetic storms and protect Earth assets. The instrument suite includes rapid data reduction software, delivering processed images to NOAA forecasters within minu...
A global partnership has committed over $1 billion to scale up weather services for hundreds of millions of farmers across Asia, Latin America, and Africa. The initiative aims to provide high-quality, farmer-centered forecasts using AI-supported weather forecasting to build resilience and support adaptation to climate change.
Researchers analyzed data from southern Israel to find significant electric field changes during heavy precipitation, suggesting early indicators for extreme weather. The study highlights the potential of incorporating electric field observations into weather monitoring systems for enhanced nowcasting capabilities.
Researchers found that trees exhibit two distinct swaying patterns depending on wind speed, with branches absorbing energy in light winds and whole-tree sway in higher winds. The transition between patterns occurred at different wind speeds depending on forest density, shedding light on how forests respond to wind stress.
Gravity waves generated by Hurricane Helene were recorded 55 miles above the ground using NASA's Atmospheric Waves Experiment. The study helps understand how terrestrial weather affects space weather and disrupts satellites.
Research shows that power systems with higher weather-dependent renewable energy sources (WD-RESs) tend to have reduced blackout intensities in the US. High WD-RES penetration does not worsen the weather vulnerability of power systems, even during extreme weather events.
A new study used the 2023 Texas-Louisiana heat wave as a test case to establish processes for evaluating extreme weather events. The researchers found that the heat wave was directly related to climate change and will see even hotter heat waves in the future.
Researchers used 16 years of radar weather data to monitor bird migration patterns from Tasmania to northern Queensland, finding millions of birds migrate each year. The study revealed unique patterns, including variation in migration direction, timing, and intensity compared to Northern Hemisphere birds.