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 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.
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 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.
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.
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.
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 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.
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.
Researchers emphasize the need for updating offshore turbine designs to reflect the complexity of storms. Advanced modeling techniques and data-driven models are being developed to address this issue.
The University of Texas at Arlington has been awarded a $1.5 million grant from the National Science Foundation to train scientists in space physics and data science. The grant will also enable UTA to create a specialization in space physics for students pursuing a Bachelor of Science in physics.
A recent study finds that long-term changes in tropical weather patterns are leading to increased frequency of heatwaves and extreme rainfall in the Indo-Pacific region. Global warming is likely a contributing factor, exacerbating regional weather extremes.
Researchers estimate the dollar value of weather information to be over $100 billion, highlighting its significant economic impact. The study also explores lightning suppression and a unique 'storm generator' technology that can create thunderstorms in Chinese desert.
Edward Oughton is gathering perishable operational decision data from critical infrastructure operators to model space weather hazards. The project aims to improve future scientists' and engineers' understanding of space weather hazards, supported by $84,999 in National Science Foundation funding.
Researchers are developing soybeans that can handle extreme weather conditions, allowing farmers to maintain yields under pressure. By studying plant adaptation strategies, scientists aim to create more resilient soybean varieties.
A new study published in Nature suggests that Earth's last ice age may provide crucial insights into future El Niño weather events. Researchers used ancient shells of marine organisms and advanced climate modeling to shed light on how El Niño patterns might change in a warming world.
Researchers at NJIT's Institute for Space Weather Sciences and Ying Wu College of Computing are developing an AI-powered space weather forecasting system called SolarDM. The system uses synthetic vector magnetograms to provide critical data for predicting solar eruptions, which could offer a three-day forecast horizon.
A new study by Potsdam Institute for Climate Impact Research confirms that climate change poses significant economic risks to different income groups. The poorest worldwide are particularly vulnerable, but the risk for the wealthy is growing at an alarming rate.
The NSF Daniel K. Inouye Solar Telescope successfully produced its first detailed maps of the Sun's coronal magnetic fields, a breakthrough in solar physics. This achievement enhances our understanding of space weather and its impact on Earth's technology-dependent society, which is crucial for safeguarding infrastructure.
A new study finds that 20% of the global population may face extreme weather risks if greenhouse gas emissions are not cut enough to reach the Paris Agreement's aims. Rapid clean-up of air pollution could exacerbate these changes, affecting 1.5 billion people in the next decade.
A new report published in The Lancet Planetary Health highlights the increasing health dangers posed by long-term weather extremes in the UK. The study finds that prolonged exposure to extreme temperatures can lead to various health issues, including reduced physical activity and dementia.
Drs Johanna Vos aims to better understand weather patterns on extrasolar worlds using the James Webb Space Telescope. Her Exo-PEA project will reveal dominant atmospheric processes governing giant world weather, expanding our understanding of planetary atmospheres.
Researchers used land snail shells to quantify a 'once-in-a-millennium' super rainstorm in central China, revealing the relationship between climate background and extreme weather variability. The study demonstrates that fossil snail shells can be used to reconstruct synoptic scale extreme rainstorms under different climate conditions.
Researchers analyzed decades of data on midlatitude cyclones, finding they're warming and carrying more moisture, leading to increased risk of flooding and extreme precipitation. This trend is expected to become more common in the future, with storm centers shifting northward and treacherous conditions for travel and shipping.
A new AI approach accurately links heat waves to global warming, estimating that record-setting heat waves could occur multiple times per decade under higher warming levels. The method uses actual historical weather data and machine learning to predict the magnitude of extreme events.
A March 2022 weather event in Antarctica caused record-high death rates for invertebrate organisms. The event, which resulted in a massive thaw, was studied to understand its impact on the ecosystem and predict future responses to climate change.
A new study found that strong El Nino events make it easier to forecast European winters, allowing for more accurate predictions of temperature and precipitation patterns. The research team analyzed 30 years of winter forecasts from seven different prediction systems and identified common factors influencing predictability.
Researchers found that Washington DC and Milwaukee have power grids particularly vulnerable to geomagnetic storms caused by solar flares and coronal mass ejections. The study highlights the need for further monitoring and modification of these areas to prevent damage during space weather events.
Researchers have developed a new method to simulate Convectively Coupled Kelvin Waves in weather forecast models, which could enhance accuracy for predicting hurricanes and heavy rainfall. The study found that current models poorly simulate these waves, indicating a need for future improvements.
Research from Duke University found that citizen science tools used in urban areas understate the problem of heat islands. The study suggests a statistical method to improve estimates of urban heat, highlighting the need for additional weather stations to better understand the issue.
A recent study by Oregon State University found that US adults are fairly confident in linking wildfires and heat to climate change, but less so for hurricanes, flooding, or tornadoes. The survey also revealed significant differences in responses based on politics, personal experience, and demographics.
Research by Griffith University found that hot weather significantly increases the risk of emergency hospitalisations for patients with pre-existing chronic diseases. Individuals over 65 with multimorbidity face the greatest risk during hot weather.
A new study by the University of South Australia has discovered a connection between pleasant weather conditions and higher investment in lottery-like stocks. On days with sunny weather, investors are more likely to engage in risk-taking and optimistic behavior, resulting in high demand and lower prices for these stocks.
A recent study by University of Nebraska-Lincoln professor Cory Armstrong found that roughly 50% of those surveyed in the mid-south region couldn't accurately define a tornado warning. Meanwhile, 35% correctly identified a warning as a tornado being sighted or indicated on weather radar.
A study by Columbia University's Mailman School of Public Health found that certain regions in NY State, including Queens and the Bronx, were more severely impacted by severe weather-driven power outages. The study analyzed hourly power outage data from 2017 to 2020 and found that rural areas were affected for longer periods than cities.
Researchers advocate for a collaborative approach between AI and physics in climate modeling to impose physical constraints and achieve global optimality. By integrating AI's spatial prowess with physics' foundational principles, they aim to create a truly learnable climate model.
A new study by the University of Reading demonstrated that AI weather forecasts can predict storm paths and intensities with similar accuracy to traditional models. However, AI systems underestimated Storm Ciaran's maximum wind speeds due to limitations in predicting certain atmospheric features.
Researchers found that modern weather models can accurately predict satellite movements affected by weather events like tropical cyclones with tall clouds. This understanding enhances satellite tracking and control, improving efficiency and reliability of satellite operations.
A recent study found that nearly 1 in 5 older adults in central Ohio report not being prepared for emergencies, with those in lower-income counties facing the greatest challenges. The study highlights the need for targeted interventions, such as tax levies and education on climate risks, to protect vulnerable populations.
A study by the University of Southampton found that market forces have provided good food price stability in developed countries, including the US, over the past half century. Despite increased variability in weather and harvests, the wheat market has remained competitive and relatively stable.
Western North America experiences more extreme weather events due to warming climate and changes in atmospheric circulation patterns, according to a study by GIST researchers. The study found that greenhouse gas emissions play a significant role in driving shifts in the jet stream, leading to more frequent extreme hydroclimatic events.
The University of Leeds says Africa needs significant investment in scientific infrastructure and science careers to adapt to climate change. Gaps in understanding the science behind tropical weather systems hinder African weather forecasting, leaving half the population without early warnings.
A new MIT-derived algorithm corrects coarse climate model predictions by 'nudging' them toward more realistic patterns, leading to more accurate forecasts of extreme weather events. The approach uses machine learning and dynamical systems theory to improve the resolution of large-scale climate models.
A Penn State technique combining satellite data with existing computer weather forecast models produces more accurate forecasts of surface gusts in severe thunderstorms. This method can be especially useful in areas lacking ground-based weather monitoring infrastructure, such as radar systems.
Researchers at LMU have discovered that weak polar vortex states in the stratosphere lead to reduced uncertainty in long-range weather forecasts over Northern Europe. This allows for more accurate predictions of cold spells and storm activity, making the weather more predictable.