A 3D-printed weather station was found to be accurate and viable for shorter campaigns, according to researchers. The low-cost sensors measured temperature, pressure, rain, UV, and relative humidity with accuracy comparable to commercial-grade stations.
Researchers found that D. radiodurans produced outer membrane vesicles and initiated multifaceted protein responses to alleviate cell stress after 1 year of exposure to low Earth orbit. The bacteria also used polyamine putrescine as a reactive oxygen species scavenger during regeneration.
A new study by UT Austin found that temperature and humidity have no significant role in coronavirus transmission, while human behavior plays a major role. Travel habits and urban density are among the top contributing factors to COVID-19 growth.
A recent study published in Meteoritics & Planetary Science reveals that the 'Fireball' meteorite, recovered quickly from a frozen lake in Michigan, contains pristine extraterrestrial organic compounds. This discovery provides valuable insights into the origins of life on Earth.
Project Man in Space, initiated by social psychologist Donald Michael in 1955, aimed to capture public opinion on space exploration. The program's research revealed strong interest in Sputnik and influenced public support for new initiatives, but also perpetuated utopian narratives that obscured military applications.
Researchers argue that current approaches to attributing extreme weather events to global warming focus too much on raising the threshold for false alarms, neglecting the importance of accurate warnings. By prioritizing probability of detection, climate scientists can strike a better balance between caution and timely warning.
Researchers aim to improve weather and climate prediction by modeling atmospheric gravity waves using Loon LLC's internet-connected balloon data. The project will help scientists better understand the impact of these wave phenomena on jet streams, polar vortex, and extreme weather.
A large retrospective study suggests that the amount of carbon stored in soils is the biggest predictor of how much carbon will combust during a fire. The study found that soil moisture was also significant in predicting carbon release, and that vegetation patterns were complex and interacted with each other to predict combustion amounts.
Sustainable space management is at risk under US-centric policies that prioritize national regulation over international cooperation. The Artemis Accords could lead to a 'race to the bottom' in space mining regulations, threatening lunar stability and increasing asteroid mining risks.
Birds breeding earlier due to climate change face increased risk of mortality, as chicks hatch into unpredictable weather conditions. This study examines the impact on Tree Swallows, finding that advancing breeding dates result in reduced availability of food resources, exacerbating the effects of climate change.
A new forecasting method, developed with public input, shows increased accuracy in predicting coronal mass ejections and their impact on Earth. The Solar Stormwatch project demonstrated the value of wide-field CME imaging cameras on future space weather monitoring missions.
UMass Lowell researchers are studying the relationship between heat waves and droughts in the Northeast, using moisture-tracking techniques and computer-aided modeling. The team hopes to better understand how well they can predict these extreme weather events and their potential impact on climate change.
A review highlights the potential of treating space travelers with treatments targeting the gut microbiome to protect against negative health effects. Promoting a healthy gut microbiome may be key to reaching Mars in one piece.
Georgetown researchers caution that weather does not significantly impact COVID-19 transmission and that lockdowns and re-openings have a stronger influence. The authors suggest that policy should not be tailored to current understandings of the COVID-climate link.
The study evaluates the performance of FY-3D's instruments, showing improved data quality and reduced forecast errors by 0.1% on average. The assimilation of FY-3D microwave observations enhances global weather forecasting, climate prediction, and resilience to extreme weather events.
A study of 109 bird species across eastern North America over a 15-year period found that some birds are more resilient to climate change than others. The research, published in Global Change Biology, suggests that conservation efforts should target vulnerable species and locations predicted to experience extreme weather events.
A new study found that cold temperatures are responsible for 94% of temperature-related deaths, even though hypothermia affects only 27% of hospital visits. This highlights the need for improved awareness and education around cold injury risks, particularly among vulnerable populations.
A new method was developed to study fast Coronal Mass Ejections and predict the most extreme space weather events. These events can cause strong geomagnetic storms that affect space and Earth-based engineering systems.
The COVID-19 pandemic led to a significant reduction in commercial flights, causing less accurate weather forecasts worldwide. Weather forecasts are crucial for daily life, impacting agriculture and the energy sector.
A new £20M research program will enhance UK's space weather monitoring capability, enabling faster and more accurate predictions of solar superstorms and severe space weather events. The University of Birmingham leads the effort, developing data modeling technology to underpin the work.
Researchers used a statistical method to remove weather influences from air pollution data in Saxony, finding that traffic density is the most important factor. Adjusted for weather, NOx concentrations decreased by an average of 10 micrograms per cubic meter between 2015 and 2018.
Researchers have created a new 'sun clock' using 200 years of sunspot observations to map solar activity over 18 solar cycles. The analysis reveals sharp transitions between quiet and active periods in solar activity, allowing scientists to estimate the risk of future solar superstorms.
Researchers at the University of Reading found that calculating the speed of coronal mass ejections (CMEs) when they hit Earth provides more useful early warnings for satellite operators. This allows them to take evasive action or switch off systems to protect against radiation damage, and warn astronauts of potential threats.
Scientists at the DOE's Princeton Plasma Physics Laboratory have reproduced a process that occurs in space to deepen understanding of what happens when the Earth encounters the solar wind. The research aims to help forecast space weather and protect satellites that enable global communication.
Researchers improve forecasting of strong convective weather using analogy method, which estimates occurrence environment for similar weather phenomena based on historical model forecasts. The method performs well in predicting potential for strong convection in different regions of China.
Dione will collect energy input and ionospheric-thermospheric data, providing insights into atmospheric drag and improving space weather forecasts. The mission complements the Geospace Dynamics Constellation and marks a new era for CubeSats in gathering similar data.
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.