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 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.
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.
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.
A Rutgers-led study predicts increased frequency of dry spells in the US and Mexico, and heavy rainfall events in south Asia and China. Subtropical stationary waves play a key role in explaining these extremes, which are expected to worsen with climate change.
A study found that experiencing extreme weather does not necessarily convince climate change sceptics of human impact. Instead, partisan news reporting and personal views play a significant role in shaping perceptions. The research suggests that media coverage can have a greater effect on people's beliefs than actual weather events.
Researchers at Penn State have developed a new weather model that incorporates data from next-generation satellites to improve tornado forecasting. The model was able to forecast supercell thunderstorms with high accuracy and suggests that lead times for tornado warnings can be extended beyond 30 minutes.
A Rutgers-led study suggests that rapid Arctic warming is causing persistent dry and wet spells, leading to extreme weather events like droughts, heat waves, and storms. The frequency of these long-duration weather conditions has increased over recent decades.
Adding Arctic weather observations can help predict tropical cyclones' tracks and intensity more accurately, reducing extreme weather event risks. The study used radiosonde data from the Arctic to forecast three tropical cyclones, showing improved predictability with additional observations.
The USDA Forest Service introduces the Hot-Dry-Windy Index (HDW) to predict wildland fire danger, leveraging temperature, moisture, and wind variables. Researchers tested HDW against existing indexes and found promising results, with potential applications worldwide.
Researchers at Tel Aviv University have developed a system to harness data from smartphones to forecast weather patterns, particularly those that lead to flash floods. The smartphone sensors can monitor various atmospheric conditions, such as temperature, humidity, and light levels, providing valuable data for accurate forecasts.
A review of research on summer weather stalling highlights the impact of Arctic warming on air circulation patterns, leading to more frequent extreme weather events. The study suggests that prolonged sunny episodes can turn into heat waves and heavy rainfall, posing a major climate risk.
Scientists have discovered a repeatable pattern in how space weather activity changes with the solar cycle, enabling better understanding and planning for space weather. The breakthrough allows for more accurate forecasting of potential threats to Earth from solar flares and extreme space weather.
Researchers developed a more comprehensive method for measuring the Earth's boundary layer depth using radar, which constantly ebbs and flows. This improvement in accuracy can lead to better forecasts for severe weather events, air pollution, and wildfire forecasting.
The Carr fire has consumed 110,154 acres, destroying 161 residences and 12 outbuildings. Weather conditions and terrain make firefighting efforts challenging, with over 2,500 structures still at risk.
Researchers at Virginia Tech used ecological forecasting to predict future growth rates of loblolly pine trees, showing a potential 30% increase in productivity by the middle of the century. The study focused on planted loblolly pine plantations in the Southeastern United States and highlighted uncertainties depending on specific regions.
Researchers from CIRES and NOAA are utilizing drones and tethered balloons to collect weather data in the Arctic, filling critical gaps in atmospheric measurements. These unmanned technologies provide a comprehensive understanding of the region's lower atmosphere, enabling more accurate weather and climate forecasts.
Historical data analysis reveals significant differences in source region contributions to haze under unfavorable weather systems. Policymakers can develop more efficient control plans by incorporating weather system analysis when haze events occur.
The ACRE China project recovers instrumental weather observations for the East Asian region, enhancing global weather and climate knowledge. The collaboration enables the creation of a spatially and temporally-complete data base of historical weather patterns and fluctuations.
Japanese researcher develops simple method for generating large data required for ensemble modeling, providing high computational stability and versatility in simulating various weather events. The new approach demonstrates effectiveness in initial conditions for typhoon and global warming simulations.
Research from Dartmouth College shows that cooler weather can increase the lethality of southern pine beetles' attacks on trees. The study demonstrates how climate change creates a destructive one-two punch for forests, with warmer temperatures leading to synchronized emergence of adult beetles and increased population density.
A new study from University of Chicago researchers finds that 'traffic jams' in the jet stream can cause abnormal weather patterns, such as blocking events. The research develops a mechanistic model to predict long-term weather patterns, including droughts and floods, by comparing the jet stream to highway traffic.
Researchers found that the Unified Model's microphysics scheme produces unrealistic raindrop size distributions, affecting storm structures. The study emphasizes the importance of selecting the right microphysics scheme for accurate weather prediction.
Scientists successfully simulated FY-2D infrared cloud images using a high-resolution WRF regional numerical weather prediction model product and forward radiation transfer model RTTOV. The results show improved accuracy, with correlation coefficients greater than 0.5 in the first 24 hours.
Researchers analyzed billions of Twitter and Facebook posts to find that people express happier sentiments when the weather is warm and sunny. The study found a significant correlation between good weather and increased positivity, which could be used to tailor advertising campaigns and content to users' emotional states.
Researchers found temperature, precipitation, humidity, and cloud cover associated with positive or negative expressed sentiments. Positive expressions increased up to 20 degrees Celsius before declining over 30 degrees Celsius, while high humidity and cloud cover were linked to negative expressions.
A study by Embry-Riddle Aeronautical University researchers found that general aviation pilots had difficulty understanding various types of weather information, including METAR reports and radar displays. The findings suggest that improved pilot training and more effective weather display designs could help advance aviation safety.
A Rutgers University study finds that warmer Arctic temperatures cause extreme winter swings in the US, leading to colder winters in northern Europe and snowier conditions. The research suggests a strong connection between Arctic warming and severe winter weather patterns in the eastern United States.