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.
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.
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.
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.
A new study by Penn State researchers reveals that Arctic sea ice loss will deplete the source of cold air for North America, leading to less cold weather events. The loss of sea ice also changes weather patterns, allowing warmer temperatures to reach the surface.
Researchers found that land-atmosphere coupling has a significant impact on Asian monsoons, but its effect varies greatly from year to year. The study suggests that better modeling of land conditions may be crucial for improving seasonal forecasts in the region.
Researchers have developed a non-crossing quantile regression neural network (NCQRNN) model to enhance the statistical reliability of weather forecasts. The NCQRNN model preserves the rank order of output nodes, ensuring lower quantiles stay smaller than higher ones, boosting accuracy and improving forecast interpretability.
A PSU study analyzed the meteorology behind the September 2020 Western United States extreme weather event, which caused record-breaking cold temperatures and early-season snowfall in the Rocky Mountains. The research found that a highly amplified wave pattern persisted for several days, fueled by dry air from western Canada.
A Mass General Brigham study found that emergency department visits and deaths rose by 1.22% and 1.4%, respectively, one week after major climate-driven weather events, with elevated mortality rates persisting for six weeks.
A new study reveals that increased meltwater in the North Atlantic can trigger hotter and drier European summers. The study suggests a predictable chain of events leading to European summer weather, due to higher levels of freshwater in the North Atlantic.
A recent study from the H. Lee Moffitt Cancer Center highlights the significant gaps in understanding and addressing the effects of hurricanes and extreme weather events on biological, psychosocial, and clinical outcomes among cancer survivors. The research reveals that these events can disrupt cancer care, exacerbate stress levels, an...
Researchers found no clear link between weather conditions and muscle and joint pain, debunking a long-standing medical myth. High temperatures, low humidity, and dehydration may increase the risk of gout flares.
Researchers at the University of Bristol have discovered a significant connection between specific weather patterns and power faults. The study shows that winter weather patterns characterized by high wind speeds and precipitation volumes are responsible for many instances of power outages through wind, gale, and lightning strikes. Hig...
Researchers uncover key mechanisms behind 2021's Pacific Northwest 'Heat Dome', attributing it to human-caused warming and natural systems. The study reveals the interplay between atmospheric dynamics, soil moisture, and climate change shapes extreme weather conditions.
Climate change in the South China Sea region is linked to changes in global weather patterns, including droughts and humidity shifts. The study highlights the complex interactions between ocean, land, and atmosphere, which drive climate change and impact regions worldwide.
A recent study from the University of Georgia found that over 70% of respondents with chronic pain would alter their daily plans based on weather-based pain forecasts. The study suggests that developing a reliable pain-based weather forecast could help individuals take preventative measures to manage their pain levels.
A team of scientists has found evidence linking oceanic weather systems to climate on a global scale, revealing that these interactions require the mediation of the atmosphere. The study used mechanical analysis to understand energy transfer across different patterns in the ocean and atmosphere.
Researchers analyzed data from 15 million customers in nine states and found that people in lower socioeconomic tiers experience significantly longer power outage durations. The study suggests that poorer communities are more distant from critical infrastructure or require more significant repairs to power lines.
Researchers have identified over 2.4 million hectares of land as critical stopover hotspots for migratory songbirds in the eastern United States, primarily consisting of deciduous forests. Protecting these sites is essential to safeguarding bird populations, which have plummeted by a quarter since 1970 due to habitat loss and climate c...
Researchers found that space weather events can trigger 'wrong side' failures in rail signalling systems, which are more hazardous than 'right side' failures. This study highlights the need for the industry to consider the risks of space weather and explore mitigation strategies.
A fast urban micro-meteorology model was developed to assess regional weather and human comfort index in the central Beijing region. The model captured fine spatial structures of wind, air temperature, humidity, and comfort index, revealing blockage effects on wind fields and sun lights.
A new study from Google DeepMind reveals a machine learning-based weather forecasting model, GraphCast, which achieves better and faster 10-day forecasts than existing approaches. The model performed well even on extreme events not directly trained for, marking a significant turning point in weather forecasting.
Researchers found that well-designed urban land patterns can moderate or even reduce population exposures to weather extremes, regardless of city size. Properly designed cities can generate a meaningful reduction in the increase in risks from climate change.
A new hybrid method developed by Concordia researchers combines data from Weibull probability distribution and numerical weather prediction models to improve wind speed forecasting accuracy. This innovation has the potential to significantly enhance urban power generation, particularly in areas with high variability in wind speeds.
Research investigates impact of storm fronts, tropical storms, and cyclones on ocean circulation, finding changes in atmospheric synoptic variability (ASV) slow down ocean circulation and decrease primary productivity. ASV variations also affect mixing of ocean's layers and strength of oceanic circulation systems.
A new study finds that experiencing record-breaking heat days increases perceptions that the weather is getting hotter, but has little effect on beliefs in climate change. Record-heat days can drive changes in the general perception that the weather is worsening, regardless of season or media coverage.
Researchers analyzed 50 years of Bordeaux wine critic scores with weather data to show that warmer temperatures, higher rainfall, and earlier seasons yield better vintages. Climate change is predicted to increase these conditions, potentially improving wine quality, but water scarcity poses a risk.
Researchers found a significant link between geomagnetic disturbances and disruptions to nocturnal bird migration. The study used massive datasets from U.S. Doppler weather radar stations and ground-based magnetometers, revealing a 9-17% reduction in migrating birds during severe space weather events.