A new study from UC Davis warns that extreme weather risk is too often ignored in financial markets, putting investors at risk of severe losses. The research highlights the need for better climate risk assessment and pricing to mitigate potential economic consequences.
Rice University engineers developed a deep learning system that uses capsule neural networks to predict extreme weather events, such as heat waves and winter storms, with high accuracy. The system achieves 85% accuracy in five-day forecasts by identifying patterns in pressure systems and regional areas.
A WVU engineer is developing a new model to improve understanding of energy transfer between the sun's solar wind and Earth's magnetosphere. The goal is to create more accurate space weather forecasts to prevent devastating effects on power grids and technology.
A recent study found that a reduction in air pollution in Europe has led to fewer extremely cold days, as the decrease in aerosol particles caused changes in the wintertime Northern Hemisphere polar jet stream. This suggests that aerosols have a stronger impact on extreme winter weather than greenhouse gases at regional scales.
Researchers found that rapid weather variability, common in warming climates, can kick-start the flu season and lead to densely populated areas experiencing high contagion rates. The study suggests incorporating environmental factors into flu spread models may improve predictions of future epidemic severity.
J. Marshall Shepherd, a renowned meteorologist, has been awarded the 2020 Mani L. Bhaumik Award for Public Engagement with Science. He is recognized for his exceptional ability to communicate complex scientific concepts to broad audiences through various media platforms.
A new study reveals that tropical forests and coral reefs are being threatened by a combination of ongoing climate changes, increasingly extreme weather, and damaging local human activities. The research highlights the urgent need for international action to decrease CO2 emissions and reverse this trend.
Researchers at Oak Ridge National Laboratory developed a computer simulation to compare energy use on similar weather days, helping utility companies and homeowners determine potential energy cost savings. The team also created a geothermal energy storage system that reduces peak electricity demand up to 37% in homes while balancing gr...
A group of scientists has conducted a new analysis that concludes the 'weather-is-not-climate' paradigm is no longer applicable. They found that daily weather data can reveal long-term warming trends, provided global spatial patterns are considered.
A study found that tropical conditions, rather than the Arctic stratosphere, influence three out of four main winter weather patterns in North America. This discovery provides forecasters with an additional tool to predict high-impact weather during winter.
Research finds that community reactions to extreme weather depend on political leanings and resources before the event. Discussion about climate change is more likely in Democratic-leaning communities or those with highly educated residents.
A UM-led experiment has shown promise in improving subseasonal weather forecasting, providing critical lead time for natural hazards like heat waves and polar vortex. The SubX project aims to provide better subseasonal forecasts to the National Weather Service, using complex computer models and large data infrastructure.
A new machine learning tool can analyze massive amounts of satellite data to detect significant features for space weather. The algorithm identifies patterns that humans may miss, enabling faster and more accurate forecasts.
The world's first 'Fisheries Index Insurance' scheme aims to protect Caribbean fishing communities from extreme weather events. However, policymakers must complement climate risk insurance with adaptations actions in coastal ecosystems to ensure its effectiveness.
Research by McGill University scientists found that nanosized metal particles from the Athabasca oil sands accelerate ice nucleation, leading to more frequent and intense extreme weather events. The pollution is also significantly higher near the oil sands than in a Canadian city.
Researchers at Argonne National Laboratory have developed domain-aware neural networks to replace expensive parameterizations in the Weather Research and Forecasting (WRF) model. These algorithms can predict environmental data more accurately with significantly less training data, enabling faster and higher-resolution simulations.
NASA's Global Precipitation Measurement mission captured heavy rainfall exceeding 1.6 inches per hour in Tropical Storm Fengshen. The storm is forecast to intensify through Friday and pass just north of Agrihan, with maximum sustained winds reaching 40 mph.
Researchers at Penn State combined geostationary satellites and traditional weather radar to create a system that produces the best forecasts for severe thunderstorms. The study found that assimilating satellite and radar data simultaneously leads to the most accurate predictions, with warning times increased by up to 40 minutes.
A new warning system, WASAVIES, can estimate radiation doses due to solar energetic particles (SEP) up to 100 km above the ground in real-time. This system enables aircrew radiation dose monitoring and provides information for aviation operation management.
A record number of bushfires are raging on Australia's east coast, spanning across New South Wales and Queensland. The fires, fueled by hot and dry weather, have burned over 365,000 hectares, with temperatures expected to remain high for the next week.
A new study finds that conservatives who report personal harm from extreme weather events, such as wildfires or floods, are more likely to support climate change mitigation policies. The study surveyed over 1,600 residents in communities affected by extreme weather events and found a significant link between reported harm and support f...
Typhoon Bualoi continues to move through the Northwestern Pacific Ocean, experiencing heavy rain around its eye, falling at a rate of over 50 mm/hour. Forecasters incorporate the rainfall data into their forecasts for updated hurricane weather information.
Researchers developed a more efficient statistical model to analyze extreme weather events globally, identifying regions with high precipitation levels and predicting their frequency. The model can handle vast amounts of data from multiple locations, providing valuable insights for disaster planning.
A Japanese research team found that incorporating radiosonde data from Antarctica improves forecasting accuracy for severe cyclones. The study successfully predicted the central pressure, wind speed, and moisture transport of an extreme cyclonic event 2.5 days in advance.
A team of scientists at Northern Illinois University successfully forecasted the nation's extensive tornado outbreak in late May 2019, three to four weeks before it occurred. The prediction used historical weather-pattern records and methodologies to predict severe weather across the continental United States with extended lead times.
New research reveals that bacteria from Arctic algae blooms can travel to the atmosphere and seed clouds, impacting global weather patterns. The particles help accelerate ice crystal formation, influencing climate and precipitation patterns.
A new machine learning method, MOML, simulates weather consultation to improve forecast accuracy by 27.91% compared to ECMWF model forecasts. The approach leverages observational data and both high- and low-frequency information for more accurate results.
Physicist Yue Deng is developing a space weather simulator to predict how energy is distributed during solar flares and magnetic storms. The goal is to improve models' accuracy, affecting GPS and communication systems.
A UTA professor is working on a new classification system for geomagnetic storms based on overall storm energy, focusing on storms with large amounts of power that dissipate in the ionosphere. This research could lead to better understanding of how space weather affects satellites and ultimately life on Earth.
Researchers developed an AI framework that detects rotational movements in clouds from satellite images, pointing to potentially threatening storm formations. The method achieved 99% accuracy and predicted 64% of severe weather events, outperforming existing detection methods.
A new study reveals that electric propulsion for orbit raising can cause significant solar cell degradation due to space weather exposure. Satellites using this method may experience a 8% reduction in output power after a radiation storm, similar to spending 15 years at geostationary orbit.
A recent study found that natural biodiversity can effectively buffer farmers' incomes against droughts and other weather-related shocks in tropical regions. Farmers in areas with greater biodiversity took less of an income hit from droughts compared to those with lower biodiversity.
A new study by Brown University researchers found a 25% increase in fatal opioid overdoses after cold weather snaps compared to days with average temperatures of 52 degrees. The study suggests that agencies should consider scaling up harm-reduction efforts during periods of cold weather.
A Rutgers University study found that warming ocean temperatures in the western tropical Pacific influence weather patterns around West Antarctica, leading to increased thunderstorms and rainfall. This could impact the stability of the West Antarctic Ice Sheet and global sea-level rise.
Scientists developed a new 3D method to reconstruct Sun's shock waves, aiding in predicting extreme space weather. The approach combines stereo vision and noise filtering techniques to estimate wave front height and propagation rate.
The German Research Foundation is extending funding for a research project to improve weather forecasting capabilities. The project aims to understand the limits of predictability and develop better forecast models, potentially increasing accuracy beyond current seven-to-ten-day ranges.
Colorado State University's Cooperative Institute for Research in the Atmosphere (CIRA) has received a new $128 million cooperative agreement with NOAA. CIRA supports various NOAA research initiatives, including forecast model improvements and real-time satellite tools.
Researchers have developed diode-based lidar instruments that can measure atmospheric water vapor, aerosols and temperature, filling gaps in US meteorological data. The instruments are operational and have provided accurate measurements with minimal error, paving the way for improved weather forecasting and climate modeling.
Successful global efforts to limit greenhouse gas emissions would likely increase the average GDP of Malawi, Mozambique, and Zambia by 2-6 percentage points by 2050. Lower oil prices due to reduced demand would also contribute to economic growth in these countries.
A study by Ohio State University found that customers left more negative remarks on comment cards on rainy days than dry days. The researchers linked this to bad moods, which were related to less positive views about the restaurants visited.
Researchers propose a unified approach to optimize radar polarimetry data for precise weather forecasting. This combines observation-based retrievals with model-based analysis to improve quantitative precipitation estimation, warnings, and forecasts.
Researchers confirm a long-hypothesized limit for weather prediction, first proposed in the 1960s, which is approximately two weeks on average. They used state-of-the-art models to test this limit and found that reliable forecasts are now possible nine to 10 days out in mid-latitudes.
A new space weather model accurately predicts 'killer' electrons in the Earth's outer radiation belt, providing a one-day warning before space storms. The model connects satellite measurements to electron population data, enabling reliable forecasts and protecting vital infrastructure.
A new study from Stockholm University finds that climate changes are affecting weather forecasting accuracy, particularly with predicting summer rain volumes. Meanwhile, temperature and air pressure forecasts are expected to become more accurate.
A major international collaboration aims to improve weather forecasting across Africa, with a focus on reducing the impact of severe weather events. The project seeks to build confidence between forecasters and users by developing new computer models and satellite methods.
A new study finds that rain is becoming increasingly common over parts of the Greenland ice sheet, triggering sudden melting events. The researchers estimate that nearly a third of total runoff is initiated by rainfall, leading to more widespread future melting.
Scientists found that Europe's renewable-based electricity system will perform similarly in future climates due to its ability to withstand extreme weather events. The grid may require tweaks for efficient operation, but its overall functionality is expected to remain intact.
Researchers at the University of Waterloo found that adjusting traffic light timing in response to weather conditions can significantly reduce intersection delays. By analyzing video data and running computer simulations, they determined that weather-responsive signal plans could ease congestion and improve safety during snowstorms.
A study using Twitter data found that people tweet more about unusual temperatures, but comment less when those temperatures recur. The study suggests that major warming from climate change may not be perceived as remarkable due to a rapidly adjusting normal baseline.
Researchers analyzed over 2 billion US Twitter posts to understand public perception of climate change. They found that people tend to forget what they consider 'normal' weather within 2-8 years, leading to a disconnect between historical climate records and personal opinions.
A Cornell University team developed a smart control system that reduces energy usage by up to 10% by predicting accurate weather forecasts and building characteristics.
Chinese scientists have launched a rocketsonde from an unmanned semi-submersible vehicle, enabling accurate meteorological and oceanographic data collection over vast marine environments. The launch aims to improve numerical weather forecasts, typhoon tracking, and coastal zone monitoring.
A study published in Nature Sustainability identified 226 food production shocks across 134 nations over a 53-year period. The research found that extreme weather events and geopolitical factors are major drivers of these shocks, posing a growing danger to global food production.
Advances in weather forecasting have significantly improved accuracy, enabling reliable predictions up to 10 days in advance. This has enabled timely emergency preparations and evacuations for hazardous events like hurricanes and tornadoes, saving countless lives.
DJ Seo, a civil engineering professor at UTA, is working on a project to merge forecasts and metrics from multiple sources into a single, integrated forecast. This will provide emergency management officials with more accurate and understandable information to make informed decisions during major weather events.
The Madden-Julian Oscillation is likely to experience increased precipitation intensity under a warmer climate, while wind variations may slow or even decrease, according to a new study published in Nature Climate Change. This change could impact weather prediction for extreme events like hurricanes and droughts.
A new algorithm developed in the European TBO-Met project optimizes flight trajectories to reduce delays and enhance safety. The system can predict and mitigate weather-related uncertainties, resulting in increased efficiency and cost savings.
Colorado State University scientists use the Madden-Julian Oscillation to forecast severe weather across the Plains and southeastern US. They achieved skillful predictions of severe weather activity about 60% to 70% of the time, including hail and tornadoes.
Researchers found that US maize has seen a yield increase of around 28% since 1981 due to beneficial changes in weather and farming practices. The study attributes this growth to warmer temperatures allowing for earlier planting and more favorable conditions.
Climate scientists predict that extreme summers, like 2018, will continue if countries don't phase out fossil fuels; however, switching to cleaner coal-burning technology can mitigate this effect. Aerosols play a crucial role in regulating temperatures and cooling the planet.