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.
Chunlei Liang and Volker J. Sorger are awarded PECASE for their outstanding research in fluid dynamics and photonic integrated devices. Their work has the potential to revolutionize software that predicts space weather and develop faster information processing systems.
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.
The Graphene Flagship partners with the European Space Agency and the University of Cambridge to launch a rocket into space, testing the printing of graphene patterns on silicon substrates in zero gravity. The mission aims to validate graphene's self-assembly properties and pave the way for its use in long-term space exploration.
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 new study from UTMB has identified biomarkers that predict individual susceptibility to muscle function decline and found effective exercise and hormone treatments to combat atrophy. The findings may allow scientists to personalize space medicine by designing specific programs for each astronaut before long-term missions.
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.
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.
The NASA Twin Study has provided a comprehensive multi-omics view of the human body's response to long-term space flight. The study found increased collagen proteins in urine, correlating with vascular remodeling during space flight.
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.
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.
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.
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.
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.
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.
Researchers used mathematical abstraction to describe gravitational waves as functions that remain invariant during distribution. They found arbitrary functions can be set to encode information, allowing for spatial transmission without distortions.
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.
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 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.
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.
Researchers developed innovative business models for space-related start-ups, including DIT Space, which commercialized satellite images and created competitive advantages. The study highlights the growth of space entrepreneurship worldwide, with a focus on Central America.
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.
A class X-2.2 and major class X-9.3 solar flare erupted on the morning of September 6, causing a strong radio blackout over most of the sunlit side of Earth, including the Caribbean. The disruption affected shortwave radio communications used by amateurs and professionals in emergency response efforts.
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.
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.
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.
Bernd Chudoba and his team aim to create a forecasting methodology that identifies science and technology gaps related to space transportation issues. The project will develop a toolbox to forecast space transportation infrastructure needs, enabling the US to plan for its 2030 goal of eliminating vulnerabilities in space.
A new magnetometer network has been installed across South America to study magnetic field disturbances and their potential impact on electronic appliances and power grids. The project aims to improve the understanding of space weather effects on the continent, which could help mitigate damage caused by solar eruptions.
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.
The Parker Solar Probe and Solar Orbiter missions will take us closer than ever before to the Sun, providing a comprehensive understanding of its inner workings and shedding light on space weather events that can disrupt technology and power grids. The missions aim to clarify the coronal heating problem and study the solar wind's inter...
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.
Scientists have found a new type of magnetic event, reconnection, occurring in turbulent plasma near Earth. The discovery bridges the gap between magnetic reconnection and turbulence, shedding light on dynamic space weather systems.
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.
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.
Astronaut David Wolf shares his experience of worsening eye sight after space missions, citing a possible connection between microgravity and visual impairment. Researchers are using advanced imaging techniques to find solutions for the effects of space travel on vision, critical for future long-duration missions.
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.
Recent research from the University of New Hampshire's Space Science Center shows that space radiation is getting far more intense, posing significant risks to astronauts and satellite technology
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.
A team of researchers from the University of Pittsburgh's NSF Center for Space, High-performance, and Resilient Computing has developed a radiation-resistant computer capable of high-performance computing in space. The system will be launched on the International Space Station and is nearly three times more powerful than its predecessor.
Recent heavy rainfall and melting snow have caused widespread flooding across the central and southern US, from the Gulf Coast to the Great Lakes. NASA's rainfall analysis found above-normal precipitation in parts of the upper Midwest, exacerbating the flood threat.
Research from the University of Missouri suggests that even as temperatures rise due to climate change, the jet stream's variability remains the same, allowing for similar forecast ranges in mid-century as today.