A new study suggests that local weather conditions can influence people's beliefs about global warming. In places with more record-breaking cold temperatures, residents are more likely to doubt the planet is warming. The research highlights the importance of differentiating between weather and climate.
Researchers have discovered powerful changing winds on a gas giant planet, HAT-P-7b, which is 16 times larger than Earth and orbits a star 50% more massive and twice as large as the Sun. The planet's atmosphere is affected by strong winds moving across the planet, leading to catastrophic storms.
Researchers have found a strong association between El Niáo-Southern Oscillation conditions and observed weather in Sri Lanka, leading to exacerbated dengue epidemics. The study used the Oceanic Niño Index to quantify data associations and found an increasing relative risk of dengue with increasing rainfall and temperatures.
CIMMS and NOAA announce a five-year, $95.3 million collaboration to support Weather Ready Nation and Climate Adaptation and Mitigation initiatives. The university will provide expertise in long-term planning, stormscale meteorological phenomena research, and forecast improvements.
Researchers are uncovering long-lost weather diaries and ship logbooks to improve future climate projections and validate palaeoclimate records. These new datasets contribute to global models of the atmosphere, shedding light on Australia's climatic past.
The GOES-R satellite will provide unprecedented information about the Earth's weather, including true-color pictures and high-definition imagery. This will enable forecasters to make more accurate predictions of severe storms, squall lines, and tropical cyclones.
University of Washington researchers have developed a method to transform lightning strikes into weather-relevant information, improving storm forecasts. The new method uses data from the WorldWide Lightning Location Network and has been tested on several cases, including a 2012 derecho thunderstorm system and a 2013 tornado.
The €8 million APPLICATE project aims to enhance weather and climate prediction capabilities in the Arctic and beyond. By studying the Arctic's impact on mid-latitude weather and climate, researchers can improve forecast accuracy and mitigate severe weather events.
D.J. Seo and his team aim to enhance National Weather Service rainfall maps for heavy-to-extreme events, benefiting emergency managers, water managers, and the public.
A new study found that climate change may be amplifying the effects of wavy jet stream patterns, contributing to severe cold winters. The research improves long-term forecasting of winter weather in populous regions, benefiting communities and economies.
A new study has found that features in animal teeth can detect unfavourable weather conditions, such as long dry periods or heavy rains. This method, known as reverse engineering, allows researchers to infer annual rainfall and average temperatures from fossil records, providing valuable information about past environmental conditions.
A University of Exeter study found no evidence that climate change is linked to a fungal disease affecting coffee crops. Researchers tested the hypothesis that climate change increased the probability of favorable weather conditions for CLR, but rejected the hypothesis due to other factors contributing to the disease outbreak.
The Observation, Prediction and Analysis of Severe Convection of China (OPACC) project aims to improve the prediction skills of convective storms. Researchers have published 224 papers on convective weather in peer-reviewed journals since 2013.
A mass participation study involving over 9000 UK participants found a correlation between sunny days, rainfall, and pain levels. The study suggests that understanding how weather influences pain could lead to new treatments.
Researchers from the University of Sheffield and The Met Office have identified factors influencing the Atlantic jet stream, potentially leading to more accurate seasonal forecasting. Up to 35% variability in the jet stream's shift may be predictable, offering a significant advance in climate prediction.
Scientists warn that global warming signals are masked by random weather variations, but expect increased snowfall in Antarctica due to higher moisture levels. The study concludes that the human influence on Antarctic surface mass balance will become detectable within the next few decades.
Researchers used the K computer and advanced radar data to accurately predict torrential rains in localized areas. They achieved this by synchronizing data between large-scale simulations and observational data through 'big data assimilation', resulting in high-resolution maps of rain every 30 seconds.
Researchers at the University of Exeter have developed a system to predict excess monsoon rainfall or drought in central India, which can impact the national and global economy. This prediction tool has the potential to improve decision-making for policymakers and communities, ultimately mitigating the effects of extreme weather events.
A study by University of East Anglia researchers found that northern wren populations are more resilient to harsh winter weather due to local adaptation. The team discovered a correlation between regional climate and population resilience, with larger body mass observed in colder regions.
Researchers require improved techniques to grasp climate change causes and its impact on communities, according to Professor Peter Stott. Better information will help policymakers safeguard people from extreme weather events.
A Japanese team has digitalized magnetogram recordings from the early 20th century, providing insights into space weather patterns before satellite observations became available. The study found that plasma in near-earth space was twice as heavy around 1958 and 1970 due to a higher mixture of oxygen ions.
Researchers created a detailed, high-resolution simulation of weather patterns in the Western US using data from tens of thousands of personal computers. The analysis showed impacts of terrain on local weather and improved accuracy for regional climate predictions.
The first wave of low-cost weather stations have been installed in Zambia, providing critically needed information for farmers and residents. The stations, built with 3D-printed parts, transmit temperature, rainfall, wind, and other weather parameters.
Researchers have developed low-cost temperature sensors to help local authorities make targeted gritting decisions. The sensors can detect significant temperature differences across a county, enabling localized decisions about when and where to apply salt, potentially saving £100 million per year.
Scientists have made significant breakthroughs in predicting weather and climate change by studying the fundamental thermodynamics of water droplets. Understanding how water droplets grow and interact with each other can help improve weather forecasts, but also has industrial relevance and applications.
The Maryland Climate and Health Profile report highlights the state's vulnerability to climate change, with extreme weather events increasing the risk of foodborne illnesses, heart attacks, and severe asthma attacks. The report projects higher rates of these health issues in future decades, particularly among coastal communities.
A recent study found an increase in atmospheric high pressure systems over Greenland since the 1980s, leading to extreme weather patterns and warmer air. This is caused by strong Arctic warming and changes in the atmospheric jet stream.
Physicists at UTA are developing a global simulation model combining knowledge and experience from seven leading research universities to predict space weather effects with higher accuracy and detail. The project aims to reduce errors in GPS and communication systems by up to 30%.
Researchers from NYU and Duke University found that 80% of Americans live in counties with more favorable weather conditions since the 1970s. However, future climate change projections suggest that nearly 90% of the US public will experience less pleasant weather by the end of the century due to rising temperatures.
A new study suggests that Americans' skepticism towards climate change may be partly due to the perception of milder winters and dryer summers. This cognitive dissonance between self-experienced changes and long-term threats makes it challenging for people to make climate-conscious decisions.
A study by Tufts University researchers found that longer monsoon seasons and increased daily rainfall contribute to reduced tea yields in China. The new approach yields more accurate data on weather changes, enabling farmers to make informed decisions on harvesting strategies.
A massive solar storm could disrupt communications satellites, knock out GPS systems, and shut down air travel and lights in millions of homes. The US government is taking the threat seriously, increasing support for research and forecasting to mitigate the impact.
A new study found that exceptionally warm weather episodes, rather than radiant energy, cause significant melting of the Greenland ice sheet. The research revealed that climate models tend to underestimate the impact of these events, which are expected to occur more frequently in the future due to climate change.
UK wine producers face challenges due to climate variability and extreme weather events, which can impact productivity year-to-year. The study found that June rainfall is the most powerful weather indicator in explaining yield variability.
Researchers at University of Oklahoma are developing a higher-resolution model that uses Stampede supercomputer to predict severe hail storms with greater accuracy. The goal is to provide 2-hour warnings for storms like the May 1995 Fort Worth Mayfest storm, which caused over $2 billion in damage.
Researchers estimate potential Zika virus risk in 50 US cities due to warm weather and travel patterns. Cities with favorable mosquito conditions, such as southern Florida and impoverished areas in Texas, may be particularly vulnerable to local transmission.
Research predicts increased suitability for Aedes aegypti mosquitoes in southern and eastern US cities, leading to potential Zika outbreaks. Warm weather conditions facilitate mosquito populations, especially in April, June, July, August, and September.
Researchers investigated wind patterns and affecting weather systems around the shipwreck location. The study revealed strong winds of at least 31 m s-1, and a bow echo embedded in a squall line contributed to the disaster.
A new simulation code was developed to accurately predict coronal mass ejections (CMEs) and their impact on space weather. The model successfully validated using observational data from the 2003 Halloween CME events, enabling accurate predictions of magnetic fields and arrival times.
A University of Washington study found that small-scale disturbances, like those from butterfly wings, do not significantly impact weather forecasts. However, even minor errors in large-scale observations can throw off a forecast, emphasizing the importance of precise measurements.
A study found that catch shares management reduced risky behavior in fishing by 79% during stormy weather. This shift in behavior corresponds to a 87% reduction in safety incidents and is expected to lead to fewer injuries, vessel losses, and deaths.
Researchers used Doppler polarimetric radar data to study nocturnal migrating songbirds in Eastern North America. The study found that birds strongly compensated for wind drift near the Atlantic coast, increasing their compensation throughout the night.
Scientists from NASA's Goddard Space Flight Center are developing a model called Solar Shield to simulate how space weather affects the US power grid. By analyzing coronal mass ejections and solar wind streams, researchers can predict when and where geomagnetic storms will occur, allowing for proactive measures to protect the grid.
A study found that weather patterns typically bringing moisture to the southwestern US are becoming less frequent, leading to a drier climate. The region is already vulnerable to drought, and this shift has significant implications for water resources.
The NASA GPM satellite examined violent thunderstorms in the southern US on February 2-3, with one powerful storm in North Carolina dropping rain at an extreme rate of 112.96 mm (4.4 inches) per hour. The satellite's radar instruments measured precipitation within the area and created a 3D cross-section through the storms.
Researchers found that typical rain-bringing weather patterns in the Southwest are becoming more rare, leading to a drier climate state. The region is vulnerable to droughts due to its already arid conditions and growing population.
The Southwest Research Institute\u2019s CuSP microsatellite will observe interplanetary magnetic fields and energetic particles in the solar wind. The mission aims to improve simulations of space weather, helping scientists understand its impact on power grids and space technology.
University of Washington scientists developed a mathematical model to explain the Madden-Julian Oscillation, a massive cluster of thunderstorms that affects global weather. The model predicts storm movement and formation, helping improve tropical rainstorm forecasts and medium-range global forecasts.
A new study suggests the US can transition to a low-carbon electricity system by 2030, reducing CO2 emissions by up to 78% and delivering electricity at costs similar to today's. The model uses weather-driven renewable resources to supply most of the nation's electricity.
A historic blizzard is forecast for Washington, D.C., while states from Texas to Florida experience severe weather due to a developing winter storm. Severe weather, including hail and at least one reported tornado, has been observed along the Gulf Coast.
A study by James Cook University scientists found that lizards in environmentally variable areas can tolerate more fluctuations, leading to wider ranges. Climate change predictions are met with evidence of species adapting to extreme weather events.
High-frequency atmospheric observations in the Arctic Ocean improved wind field accuracy, reducing uncertainty in sea-ice forecasts and predicting severe weather phenomena. The study suggests that a cost-effective observing network can be established to enhance polar predictions.
A new study led by McGill University and the University of British Columbia found that droughts have a significant impact on cereal crop production, particularly in developed nations. The research analyzed data from 177 countries and found that global production lost to extreme weather events averaged around 9-10%.
A new study published in Nature found that droughts and extreme heat reduced global cereal harvests by an average of 9-10% between 1964 and 2007. The impact was greatest in North America, Europe, and Australasia, where production levels dropped by 19.9%.
The NASA GPM mission analyzed extreme weather in the US from December 2015, detecting heavy rainfall, tornado outbreaks, and record-breaking flooding. The analysis revealed a line of tornadic thunderstorms moving through the Midwest, generating two tornadoes and 14 deaths.
A massive low pressure system generated severe weather, including tornadoes, heavy rainfall, and snow, in the southwestern and central US. The storm system brought significant impacts, particularly to Texas, Oklahoma, New Mexico, Missouri, Arkansas, Mississippi, Alabama, and the Florida Panhandle.
Researchers at UTA are analyzing the energy entering the upper atmosphere following space weather events to refine models used for satellite trajectory forecasting. Current estimates can be off by as much as 100%, resulting in an error of up to 30% in tracking satellites.
Scientists from PNNL will discuss the Madden-Julian Oscillation, a weather phenomenon that influences tropical cyclones and climate change. The team used computer simulations to explore how daily pulses of clouds over islands affect the MJO's movement.
Reduced storm activity over mid-latitude regions leads to more persistent heatwaves and droughts, while also increasing the likelihood of record-breaking cold temperatures. This study highlights the sensitivity of regional weather conditions to changes in large-scale atmosphere dynamics.
NCAR will develop a revolutionary forecasting system to predict wildland fire behavior in Colorado, capturing critical feedbacks between fires and local weather. The system will provide unprecedented detail about interactions between weather and fire, helping firefighters and the public.