A research team led by Yongjie Huang is exploring the complex interactions between convective clouds and their surrounding environments. They aim to understand how convection initiates and how convective cells interact with their environment, ultimately improving computer models for forecasting.
A new study reveals that weather conditions are a significant driver of global insect decline. Researchers found that unfavourable weather anomalies can lead to reduced insect survival probabilities, particularly in combination with other extreme weather events.
A PSU study examines how atmospheric patterns influencing the weather won't necessarily become stronger or more frequent by the end of the century. Instead, warmer temperatures will lead to an increase in rainfall over the Pacific Northwest in most seasons except summer.
Weather data from US Navy ships bombed at Pearl Harbor has been recovered, providing a dataset of over 630,000 records that can help scientists understand global climate changes. The new analysis aims to correct uncertainty surrounding World War II's temperature records and fill gaps in existing datasets.
Researchers at the University of Oklahoma are receiving US DOE funding to explore atmospheric processes that lead to extreme weather events. The project aims to better understand blocking patterns and their impact on climate change, ultimately informing local, state, and national leaders on how to prepare for these events.
Research reveals that extreme weather events exacerbate existing problems of gender inequality and poverty, leading families to marry off children as a coping mechanism. Girls who are educated are less likely to be married off early, highlighting the importance of education in protecting against child marriage.
Researchers at Stevens Institute of Technology have developed more accurate nowcasting algorithms to predict short-term weather forecasts. The study found that probabilistic models are highly accurate in predicting both long- and short-term rainfall events, while deterministic models are better suited for extremely short-term projections.
Researchers at the University of Reading have discovered a link between Indian weather forecasting techniques and predicting extreme rainfall in Sri Lanka. By analyzing wind patterns and the Madden-Julian Oscillation, they can identify areas prone to heavy rainfall, allowing communities to better prepare for deadly natural disasters.
Researchers have identified an operational strategy that can reduce shipping emissions by up to a quarter by combining modern sail technology with efficient routing systems. The study found that this approach can provide greater assurances of carbon savings by mitigating the impact of unpredictable weather patterns.
Researchers at RIKEN have demonstrated a method to prevent severe weather events by inducing small perturbations in the Lorenz 96 model. This approach utilizes the inherent chaos in weather systems to limit extreme events, which become more common due to climate change.
The UK is investing £11 million to improve forecast accuracy for extreme weather events like storms, floods and droughts. Scientists are focusing on atmospheric turbulence to create more detailed models.
A recent study suggests that songs with high energy and positive emotions are more likely to match prevailing weather conditions, influencing listener preferences. The research found a strong association between energetic and positive music and warm and sunny weather, but only for popular songs.
High-energy electrons pose significant radiation damage to satellites; a new study sets benchmark levels for extreme space weather events. Satellite operators must prepare against these risks as the global space economy relies on over 5,465 operational satellites.
Researchers investigated the tradeoff between reducing CO2 emissions and increasing renewable energy supply in office buildings. They found that access to the power grid can mitigate the impact of weather variability, but extreme weather events increase battery storage costs.
A new study suggests that modular production techniques can minimize construction delays caused by weather, resulting in cost savings for builders. The research estimates that using modular construction can reduce costs by approximately AUD$40,000 on a $6.4 million project.
Using satellite data from near-real-time (NRT) sources can significantly improve the accuracy of solar wind forecasts, with a potential increase of nearly 50%.
A recent study found that investors make higher bids in sunny periods, leading to lower discounts for shares. The study also discovered that investors become more optimistic and risk-taker when exposed to sunshine, which can lead to higher bid prices. The research has important implications for investors and market regulators.
Researchers have recovered old weather records from the 1903 Storm Ulysses, revealing it was one of the strongest storms in British history. The digital data analysis shows that similar storms would be rare today, highlighting the risks and potential damage they could cause.
A machine learning model developed by Colorado State University researchers has been tested with forecasters at the Storm Prediction Center to improve medium-range severe weather forecasts. The tool provides a probabilistic measure of hazardous weather events, such as tornadoes and hail, four to eight days in advance.
The Atmospheric Waves Experiment, led by USU's Space Dynamics Laboratory and College of Science, will provide unprecedented images of Earth's gravity waves from space. The mission aims to improve satellite communications forecasting and enable contingency planning for space weather events.
A new technique combining underused satellite and radar data in weather models may improve thunderstorm predictions by capturing a more accurate picture of initial conditions in the boundary layer. This technique showed promise in improving forecasts of convection initiation, several hours before the thunderstorms occurred.
A new model investigates long-term temporal trends in synoptic-scale weather conditions favoring significant tornado occurrence over the central United States. The study suggests that specific weather patterns have contributed to increased tornado activity in this region.
A new USC study found that people's concerns about severe weather are significantly more predictive of their concerns about water safety than concerns about climate change. This suggests that warning people about water safety and other environmental threats is more effective when linked to extreme weather rather than climate change.
Research found that abnormally weak meridional potential vorticity gradients in the Northern Hemisphere atmosphere facilitated the development of stationary blocking weather patterns, leading to extreme cold weather and snowstorm events in East Asia and North America. The team predicts improved forecasting with more accurate PV modeling.
A new study reveals that wildfire smoke interacts with local weather to create conditions that accelerate wildfire expansion and worsen air pollution. Short-term variations in humidity, wind speed, and precipitation drive extreme wildfires on the US West Coast and Southeastern Asia.
Researchers at Northumbria University are developing artificial intelligence to forecast space weather and predict serious space storms. The technology aims to protect the Earth's power grid and communication systems from disruptions caused by solar eruptions.
Researchers created a magneto-impedance sensor magnetometer that measures Earth's geomagnetic field fluctuations, enabling real-time monitoring of space weather and advancement of space research. The device is lightweight, power-efficient, and low-cost, making it suitable for constructing multi-point observation networks.
A new research project led by Associate Professor Marta Victoria aims to describe periods of extreme weather and design strategies for reliable renewable energy systems. The project, funded with DKK 6.2 million, will run for four years and focus on predicting and adapting to multiple adverse events.
A study by Hokkaido University reveals that the El Niño Southern Oscillation (ENSO) has caused more frequent heavy rainfall in the Mekong Delta, resulting in increased flooding risk. The findings suggest that better weather predictions and preparation can help mitigate the negative effects of floods and droughts in the region.
Researchers found a strong association between hotter weather, more sunshine, and higher volumes of polytrauma CT scans. The study used machine learning algorithms to forecast daily polytrauma CT occurrence, predicting 73% of high-demand days and 83% of low-demand days.
A team of researchers studied the upcoming 2022-2023 winter weather in Eurasia, predicting potential below-normal temperatures and severe snowfalls. The study used four climate models to forecast surface air temperature and precipitation anomalies, with some results suggesting a possibility of cold snaps despite warmer overall conditions.
A new study by the University of Illinois found that temperature in the place of origin has a significant negative impact on export of agricultural goods, while temperature in the destination has little effect. The researchers also identified precipitation as a more nuanced factor in trade.
Researchers found a 22,000-year cycle in the Earth-sun distance affecting the Pacific cold tongue, impacting El Niño/La Niña events and North American weather. The study suggests that the changing distance may have long-term historical effects on other weather systems.
A new Concordia University study reveals that extreme weather events, such as hurricanes and heatwaves, have failed to drive government climate action. Despite the devastating economic and human costs of these disasters, governments have remained slow to enact meaningful reforms.
Researchers warn that UK wheat yields are vulnerable to increasingly frequent extreme weather events due to climate change. The study found that while warmer temperatures can benefit yields, multiple extreme weather events can lead to significant negative impacts on production.
A team of researchers has developed a novel technique using high-energy muon particles to track and visualize tropical cyclones. This technique, called muography, creates X-ray-like images of large objects, including atmospheric weather systems. The resulting images reveal density variations essential to understanding how cyclones work.
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.
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.
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 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 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.
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.
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.