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...
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.
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.
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.
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 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 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.
SourceRIKEN·JournalNonlinear Processes in Geophysics·TypeComputational simulation/modeling·DateJun 20, 2023
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.
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.
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.