Researchers found that UAV sounding data can improve Antarctic weather forecasting, especially for temperature, wind speed, and humidity predictions. The limited flight altitude of UAVs restricts the improvement to the atmospheric boundary layer.
A NASA-built instrument uses shearing force to grow E. coli bacteria, demonstrating a more suitable method for space travel than existing alternatives. The research opens a new path to bio-manufacturing drugs during long-term space flights.
New research suggests that the Arctic may impact Eurasian extreme weather events as quickly as two to three weeks, highlighting the need for more robust analysis techniques. The study aims to improve forecast accuracy by targeting specific observations and developing simulation experiments.
An international team of scientists has proposed a method to design climate-resilient energy systems. The study found that urban areas are expected to hold more than two-thirds of the world's population by 2050, and distributed energy systems will play a vital role in climate change adaptation and mitigation.
A new Stanford study found that historical observations can lead to significant underestimates of extreme weather events by about half, particularly heat waves and heavy rainfall in Europe, East Asia, and the U.S. Climate models were more accurate in predicting future occurrence of record-setting events.
Researchers at Kennedy Space Center successfully grew red romaine lettuce in space onboard the International Space Station, demonstrating its safety and nutritional value. The study found that space-grown lettuce was similar to Earth-grown controls in terms of composition but showed increased levels of certain nutrients and antioxidants.
Researchers found that consumers mentally visualize using products associated with sunny and snowy conditions, leading to higher product valuation. This effect only works for products related to being outside, such as beach towels or winter gear.
A new method predicts how extreme climate events affect energy systems with a focus on renewable energy sources. Future climate events can have a considerable impact, leading to power supply reliability reductions of up to 16%. Collaboration between energy system experts and climate researchers is necessary for optimization.
A new international advisory system is working to keep aircraft crew and passengers safe from space weather impacts. The system predicts disruptions from solar activity and helps airlines adjust flight paths to minimize impacts on navigation and communications systems.
The top ten list reveals Hurricane Harvey as the most extreme event, followed by Hurricane Sandy and deadly Hurricane Maria. The cost of all ten events totalled over $400bn, with devastating consequences including widespread flooding and injuries.
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 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.
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.
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.
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.
The Parker Solar Probe has returned significant data on the Sun's atmosphere, revealing insights into the solar wind and its effects on space weather. The probe's findings have shed light on magnetic disturbances in the solar wind and the processes that heat the Sun's outer atmosphere.
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.
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 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.
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 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 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 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...
A study published in Scientific Reports found that male mice sent to space for 35 days retained their reproductive ability upon return. The research team also reported healthy offspring with no effects from the parents' space stay.
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.
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.
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 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.
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.