Researchers in Japan have demonstrated that incorporating radar data from the Antarctic Syowa Station enhances atmospheric parameter reproducibility, improving mid-latitude cyclone forecasts. This sustainable approach reduces environmental waste and error uncertainty.
A new study analyzing 157 mammal species found that those living a long time and having few offspring are less vulnerable to climate-driven population fluctuations. In contrast, short-lived rodents experience more extreme population changes due to their limited fat reserves and ability to quickly adapt.
A new study revisits a deadly 2021 ultramarathon event in China, highlighting the need for ultra-high-resolution forecasts in mountainous terrain. The model accurately recreated the storm conditions and offered greater insight into what may have happened that day.
A new study found that people taking beta-blockers or antiplatelet medications are more likely to have heart attacks during hot weather. The study, which analyzed data from 2,494 cases in Germany, suggests that these medications may render some individuals more vulnerable to heat-related heart attacks.
Researchers evaluated the prediction of a record-breaking heatwave in the Pacific Northwest, finding that forecasts were able to accurately predict the event. The study highlights the importance of trust, preparedness, and early action when extreme weather is forecasted.
Researchers found a correlation between Arctic ozone depletion and extreme weather events in the Northern Hemisphere. Simulations suggest that reduced ozone levels contribute to warmer temperatures and droughts in central Europe, while wet conditions prevail in polar regions.
A new Johns Hopkins study reveals how simultaneous extreme weather events like heat waves and droughts can create dangerous cascades in the US. The research found that dueling weather events likely drove this year's New Mexico wildfire to historic proportions, with similar patterns expected under climate change.
Researchers developed a smartphone app that harnesses weather forecasting data to provide individuals with a granular understanding of their COVID-19 risk. The app would blend various types of data, including surveillance testing and wearable sensor data, to forecast the spread of disease across a network of human contacts.
A new study reveals that Nor'easters produce flood levels just as severe as hurricanes, but occur much more frequently in the Mid-Atlantic region. The intense storms can cause significant damage and disruption along the coastline, with some events surpassing those from tropical cyclones.
Researchers found a significant link between ultrafine particle emissions and extreme weather events, such as droughts and strong precipitation. An increase in particle numbers correlates with regionally changed precipitation patterns worldwide.
Scientists identified three atmospheric phenomena orientations near the equator that increase US severe weather event probabilities three to four weeks later. Using machine learning, they found correlations between MJO fluctuations and U.S. severe weather weeks after the event.
Researchers used TACC supercomputers to evaluate latest severe weather forecast tools, testing their performance in real-world settings. The goal was to improve snowfall forecasts and determine optimal model combinations to predict various winter weather aspects.
Researchers developed a flexible, multi-tasking sensor that can measure rain volume and wind speed in real-time, enabling the creation of local weather maps. The sensor features a superhydrophobic silicone sheet and reservoir computing analysis, making it an economical approach to weather reporting.
Scientists analyzing NASA's ICON mission data and ESA's Swarm satellites found that the Tonga volcano's eruption triggered hurricane-speed winds and unusual electric currents in the ionosphere. The extreme winds reached speeds of up to 450 mph, affecting the equatorial electrojet and causing a dramatic shift in its direction.
A University of Oklahoma research team is exploring ethical AI methods specifically in environmental sciences. They aim to develop trustworthy AI tools to help mitigate weather and climate disasters. The team's work seeks to address biased AI algorithms that favor areas with higher populations.
Researchers studied ultra-hot exoplanets using NASA's Hubble Space Telescope, discovering unusual weather patterns, such as rain vaporized rock and intense ultraviolet radiation affecting planetary atmospheres. This research provides insights into the diversity and complexity of extreme weather conditions in distant worlds.
Researchers have used computer simulations to show that small adjustments to certain variables can modify weather systems, mimicking the 'butterfly attractor' phenomenon in chaos theory. This approach could lead to weather control technology and prevent extreme windstorms.
Researchers at RIKEN Center for Computational Science used computer simulations to show that extreme weather phenomena can be controlled by making small adjustments to variables in the weather system. The study's findings promise multiple applications, including preventing and mitigating extreme windstorms.
A new machine learning study analyzed 10 years of weather data to identify three major categories of weather patterns and their effects on thunderstorms. The study aims to isolate the impact of aerosols, tiny particles suspended in the atmosphere, on storm severity.
The Texas cold snap highlighted the critical role of electricity in society and the need for improved power system planning to withstand extreme weather events. The event showed that traditional planning based on historical weather patterns is not sufficient, and new information from climate projection models is needed.
Researchers are developing new methods to predict extreme weather events, including building a 'weather dictionary' using word search technology and AI physics. By analyzing patterns and motifs in weather data, scientists aim to better understand the impact of climate change on extreme weather events.
A new study questions a widely-held theory that sudden stratospheric warming caused the extreme cold weather in Texas and other parts of the US. The research suggests that the polar vortex's disruption, which occurred six weeks after the initial warming event, was not significant enough to impact the weather.
New research from the University of Reading found that changes in air pollution levels in Asia and Europe may have driven prolonged European summer extremes and Central Asian dry spells. The study revealed that air pollution reductions in Europe strengthened the jet stream, while increases in Asia weakened it.
A new study led by Oregon State University finds that climate change has increased the likelihood of hot, dry, windy autumn weather that can lead to severe fires in the region. The research, which examined conditions during recent large fires, found a 40% increase in extreme fire weather conditions due to human-caused climate change.
Researchers developed a new model to predict storm damage, allowing for effective resource allocation and reduction in societal consequences. The framework can be applied to various infrastructure systems and weather events, promoting better preparedness and response.
A review of over 500 studies on urban climate and weather reveals significant gaps in current understanding and modeling. The researchers emphasize the need for better observation-model integration, improved communication between scientists and end users, and standardized meteorological stations.
Scientists use a modified drone with a radiation shield to collect high-quality atmospheric data in polar regions. The study shows that the low-cost drone provides accurate data comparable to radiosondes, expanding the observational network and improving weather forecasts.
Residents in eastern US cities experience up to 4.9 degrees Celsius increase in nighttime urban heat stress index, with extra 30 minutes of uncomfortable weather per degree C temperature increase. This effect is more pronounced in the southeastern US, where residents face up to five extra hours of uncomfortable weather during summer.
A German study finds that ambulance call-outs for heart attacks increase when air pollution is high, but decrease with warmer weather. The research highlights the need for better planning and resource allocation by hospitals to address climate change-related changes in weather conditions.
Persistent weather conditions are becoming more common in European summer, leading to prolonged heat waves and intense rainfall events. This trend is linked to increased hydro-climatic risks, especially for densely populated regions.
A new study found that extreme fire weather is being driven by a decrease in atmospheric humidity coupled with rising temperatures. This trend is linked to an increase in naturally occurring extreme fire events, spreading to new areas and burning more intensely than ever before.
NJIT's Institute for Space Weather Sciences will host a Research Experiences for Undergraduates program, providing students with hands-on work at advanced observatories. The 10-week program aims to foster the development of future workforce in solar-terrestrial and space weather sciences.
Environmental engineers at Duke University demonstrated that sharp contrasts in small landscape features refine local weather developments and influence climate trends. The study suggests that incorporating detailed data can improve forecast accuracy.
New research from the University of Arizona suggests that a slowdown in the Atlantic Meridional Overturning Circulation (AMOC) will intensify extreme cold weather in the US. The study found that without the AMOC, extremely cold winter weather would become more frequent and severe.
Researchers at York University have discovered a conveyer-like motion of heat across the equator in the Pacific Ocean called the Cross Equatorial Cell (CEC), which influences El Niño and La Niña. This finding may lead to improved prediction of year-to-year disruptions to weather patterns, benefiting countries worldwide.
A study published in PAIN found that weather-related factors can affect pain tolerance, particularly for cold-induced pain. Temperature, barometric pressure, and humidity were associated with changes in pain tolerance tests, suggesting a dynamic and non-linear relationship between weather and pain.
A new study incorporated water vapor isotope compositions into a general circulation model to improve forecast accuracy by several percentage points. The Isotope-incorporated Global Spectral Model (IsoGSM) demonstrated improved modeling of air temperature and specific humidity.
A new study finds that rapid Arctic warming is driving extreme winter weather in the US, particularly intense snowfall events and anomalous cold snaps. The findings reveal a physical link between Arctic amplification and stratospheric polar vortex disruption, which are contributing to increased frequency of winter weather extremes.
A new study shows that polar vortex disruptions most favorable for extreme US winter weather are increasing, with Arctic change likely contributing to the trend. The analysis demonstrates that a 'stretched' polar vortex state is more common and leads to severe winter weather.
The World Climate Research Programme has made efforts to improve climate prediction, but many problems remain, including predicting extreme weather events. The Center for Climate System Prediction Research (CCSP) aims to tackle these challenges through research on ENSO, extended-range weather forecasting, and interannual-to-decadal cli...
A study published by Sandia National Laboratories reveals that older solar farms are more susceptible to extreme weather events, while snowstorms have the highest impact on electricity production. Machine learning analysis also found that low sunlight levels due to cloud cover and geographical features of the farm are significant factors.
Analysis shows US workers in weather-exposed industries work fewer hours on hot days during economic growth, but not during recession. The study predicts $80 billion in lost wages by 2090 due to high-heat labor conditions.
A Purdue University study suggests that the eastern half of the US is a hotspot for severe thunderstorms due to high terrain, while the Gulf of Mexico plays a relatively weak role. Removing the Gulf would shift storm patterns eastward into Illinois and reduce them over southern Texas.
Researchers created a new sun clock to study the solar seasons. The study reveals that the switch from solar maximum to declining phase is fast, occurring within a few solar rotations. This discovery helps predict space weather events, such as violent activity on our Sun leading to extreme events on Earth.
Researchers are working to improve space weather forecasting to prevent power grid damage and satellite communications disruptions. The University of Michigan's Space Weather Modeling Framework uses a global representation of Earth's Geospace environment to predict magnetic disturbances on the ground.
Naoko Sakaeda, a University of Oklahoma weather researcher, has received a $652,000 NSF CAREER award to study tropical meteorology and improve global weather forecasting. Her research aims to better understand the dynamics of tropical clouds and precipitation at various scales.
Scientists from Incheon National University identified interzonal airflow across household entrance doors as a dominant factor in calculating heating loads. They found that strong stack effect and weather-driven airflow rates were larger than external infiltration rates, making conventional airtightness measures unreliable.
Researchers found that high-impact weather events can be extreme, especially in context of human activities. Detailed hypothermia risk forecasts were not available for the race site, contributing to tragedy. The study highlights the need for improved warning systems and collaborations among scientists, governments, social media, and ci...
Researchers developed an AI method called CU-net to improve weather forecast accuracy by learning from uncertainty. The model corrected four weather variables and showed improved performance using 10-year data, promising innovative diagnostics for climate variability.
A University of Oklahoma researcher is using fluid dynamics principles to improve climate modeling, with a focus on turbulent transport in the lower atmosphere. The project aims to enhance predictability and accuracy in weather and climate patterns.
Scientists use infrared sensors to study the nighttime weather of Venus, discovering that north-south winds run in the opposite direction at night. This observation could help build more accurate models of the Venusian weather system and provide insights into Earth's weather patterns.
A University of Illinois study finds that US corn and soybean varieties have become more resilient to extreme heat and drought but less adapted to normal weather patterns, leading to reduced productivity. The researchers call for crop breeders to focus on developing crop varieties for diverse weather patterns.
Researchers developed a new method to quantify cyclones' influence on atmospheric circulation, improving climate projection accuracy. This approach allows for finer details to be revealed in patterns of cyclones and anticyclones.
The use of additional Metop-C and Fengyun-3 C/D data has been shown to improve regional weather forecasts by filling existing data gaps. By incorporating more PMW satellite radiances, scientists can enhance the quality of forecast models, leading to better short-range predictions.
Researchers found a clear relationship between temperature and aggressive incidents, with hotter weather linked to higher rates of incidents. There were on average 15% more aggressive incidents on days over 30°C compared to cooler days.
Researchers at Shinshu University and the National Polar Research Institute found a Forbush decrease in cosmic ray counts during a CME event, but the CR density exceeded its original level before exiting the Magnetic Flux Rope. The high-speed solar wind caused this unusual enhancement of CR density through local compression of the MFR.
Researchers developed new software for improved space weather prediction, leveraging supercomputers and advanced computing techniques to analyze magnetized solar wind plasma. This effort aims to enhance the accuracy of predictions for coronal mass ejections and their impact on Earth's magnetosphere.
A space physicist from UTA is collaborating with an international team to study the impact of coronal mass ejections on earth's magnetic field and technological systems. The research aims to improve forecasting and mitigation capabilities for solar flares, which can cause widespread blackouts.
Researchers will use accurate weather forecasts to anticipate food shortages, poaching, and other threats to elephants, allowing conservation groups to take action weeks or months in advance. The project aims to reduce human-elephant conflict and help at-risk species withstand climate change.
Scientists have discovered a clear pattern in extreme space weather events, making it possible to predict when they will occur. The findings suggest that Moon missions may be delayed to avoid the most intense periods of solar activity, which can pose risks to astronauts and satellites.