The European Commission and ECMWF have signed an agreement for the third implementation phase of DestinE, a digital twin project aiming to improve AI climate and weather predictions. The project will start in June 2026 and focus on operating and interlinking digital twins, as well as developing AI capabilities further.
The American Heart Association warns of cold weather's impact on cardiovascular disease. To stay heart-healthy in winter storms, know the dangers and take necessary precautions.
A new measurement campaign, NAWDIC, aims to explore the dynamics of weather systems over the North Atlantic Ocean and improve climate models. The campaign uses advanced remote sensing instruments to document moisture transport rates and interactions between the atmosphere and ocean.
Scientists used multiple space-based instruments to track the evolution of a solar eruption, observing how it reduced background cosmic-ray activity. This approach has potential for improving space-weather forecasting and protecting satellites, astronauts, and power grids.
Astronomers have created a naturally occurring space weather station around complex periodic variable M dwarf stars to study the environment of planets. This discovery sheds new light on how stars affect their planets' makeup and might provide clues about the habitability of distant worlds.
The American Meteorological Society (AMS) urges the US government to maintain and strengthen NSF NCAR, a critical resource for weather forecasting and climate science. This would lead to further forecast improvements that benefit the nation's safety and economy.
Researchers estimated that around 100 trillion insects fly above the US every day using weather radar data. Insect populations remained relatively stable over the past decade, but regional fluctuations were observed, with warmer temperatures leading to declines in insect density.
Researchers estimate 100 trillion insects fly in US skies daily, with stability over past decade but regional fluctuations. Winter temperatures significantly impact insect populations, which may hide species sensitive to environmental change.
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.
A new study by University of Illinois researchers finds that extreme weather events can have wide-ranging effects on food production and manufacturing in the US. Climate shocks, such as droughts and floods, can reduce agricultural output and increase prices, affecting states that rely heavily on imports.
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.
A Florida Atlantic University survey finds that 36% of Floridians have moved or are considering relocating due to weather hazards. The survey also reveals concerns about climate change, with only half of Floridians believing it is caused by human activity.
A new concept called Weather Commons proposes a democratic approach to weather control, emphasizing collective stewardship and cooperation between local communities. The framework aims to provide a platform for civic dialogue on the role of technology in addressing extreme weather intensification.
Mustafa Aksoy is leading a research team to develop machine-learning algorithms to detect and remove radio frequency interference from NOAA satellite measurements. The goal is to improve the accuracy of weather forecasts and climate monitoring by mitigating the impact of RFI.
The COSPAR 2025 Symposium released global guidelines on space weather, creating a unified language for scientists to share data and coordinate observations. The symposium also announced groundbreaking scientific discoveries, including AI-driven bioinformatics breakthroughs and insights into space hazards.
A new study finds that past heat waves in Europe could become far deadlier in today's warmer climate, with weekly deaths potentially reaching up to 32,000. Researchers used AI and statistical techniques to estimate the death toll based on historical data and global average temperatures.
The European Centre for Medium-Range Weather Forecasts (ECMWF) and several National Meteorological Services across Europe have been honored with the 2025 HPCwire Readers’ and Editors’ Choice Award for
A new study will analyze the effects of extreme weather on childhood development using big data. The research aims to better understand how weather-related events influence pediatric health and development, which could help address growing health disparities.
Researchers develop a new AI approach to simulate the Earth system, enabling better estimates of local impacts on ecosystems and societies. The WOW project aims to couple AI models across scales of space and time, revealing hidden connections in the climate system.
The University of North Florida is opening a state-of-the-art heat exercise laboratory in collaboration with the Korey Stringer Institute and Perry Weather. The lab will support research, education, advocacy, and consultation to prevent exertional heat stroke and optimize safety for athletes, military, and laborers.
The Japan Science and Technology Agency hosts an international symposium on weather controllability technologies as part of Moonshot Goal 8. The goal aims to mitigate the effects of extreme weather disasters by 2050 through innovative research and development of weather-control technologies.
Researchers analyzed power outage data and weather records to identify planning vulnerabilities and criticality as drivers of prolonged local outages. Targeted interventions, such as isolating critical nodes and improving operational flexibility, can reduce customer outages by up to 49.5%.
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 recent study found that people who attribute extreme weather events to climate change are more likely to support climate regulations. The study analyzed data from 68 countries and found significant differences in public support depending on the type of climate action. Protecting forested and land areas was a popular policy option, su...
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 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.
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 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.
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...
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.
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.
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.
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.
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 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.
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.
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.