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Enhancing statistical reliability of weather forecasts with machine learning

Researchers have developed a non-crossing quantile regression neural network (NCQRNN) model to enhance the statistical reliability of weather forecasts. The NCQRNN model preserves the rank order of output nodes, ensuring lower quantiles stay smaller than higher ones, boosting accuracy and improving forecast interpretability.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAdvances in Atmospheric Sciences·DateMar 4, 2024

PSU study sheds light on 2020 extreme weather event that brought fires and snow to western US

A PSU study analyzed the meteorology behind the September 2020 Western United States extreme weather event, which caused record-breaking cold temperatures and early-season snowfall in the Rocky Mountains. The research found that a highly amplified wave pattern persisted for several days, fueled by dry air from western Canada.

SourcePortland State University·JournalWeather and Climate Extremes·TypeComputational simulation/modeling·DateMar 1, 2024

Moffitt study highlights urgent need to address impact of extreme weather events on cancer survivorship

A recent study from the H. Lee Moffitt Cancer Center highlights the significant gaps in understanding and addressing the effects of hurricanes and extreme weather events on biological, psychosocial, and clinical outcomes among cancer survivors. The research reveals that these events can disrupt cancer care, exacerbate stress levels, an...

SourceH. Lee Moffitt Cancer Center & Research Institute·JournalCancer Epidemiology Biomarkers & Prevention·TypeSystematic review·DateFeb 22, 2024

Links discovered between weather patterns and power outages could help UK protect itself from disruptive weather, according to a new study.

Researchers at the University of Bristol have discovered a significant connection between specific weather patterns and power faults. The study shows that winter weather patterns characterized by high wind speeds and precipitation volumes are responsible for many instances of power outages through wind, gale, and lightning strikes. Hig...

SourceUniversity of Bristol·JournalCommunications Earth & Environment·TypeComputational simulation/modeling·DateJan 23, 2024

Pain-based weather forecasts could influence actions

A recent study from the University of Georgia found that over 70% of respondents with chronic pain would alter their daily plans based on weather-based pain forecasts. The study suggests that developing a reliable pain-based weather forecast could help individuals take preventative measures to manage their pain levels.

SourceUniversity of Georgia·JournalInternational Journal of Biometeorology·DateJan 11, 2024

Research shows disadvantaged people wait significantly longer for power restoration after major storms

Researchers analyzed data from 15 million customers in nine states and found that people in lower socioeconomic tiers experience significantly longer power outage durations. The study suggests that poorer communities are more distant from critical infrastructure or require more significant repairs to power lines.

SourceGeorgia Institute of Technology·JournalPNAS Nexus·TypeComputational simulation/modeling·DateDec 14, 2023

Princeton research reveals the secret sites where America’s migrating songbirds stop to rest and refuel

Researchers have identified over 2.4 million hectares of land as critical stopover hotspots for migratory songbirds in the eastern United States, primarily consisting of deciduous forests. Protecting these sites is essential to safeguarding bird populations, which have plummeted by a quarter since 1970 due to habitat loss and climate c...

SourcePrinceton School of Public and International Affairs·JournalCurrent Biology·TypeObservational study·DateDec 14, 2023

Real-time assessments of regional weather and human comfort index on 10-meter-resolution were provided over Tiananmen area, Beijing

A fast urban micro-meteorology model was developed to assess regional weather and human comfort index in the central Beijing region. The model captured fine spatial structures of wind, air temperature, humidity, and comfort index, revealing blockage effects on wind fields and sun lights.

SourceScience China Press·JournalScience China Earth Sciences·DateDec 5, 2023

Improved wind speed forecasts can help urban power generation, according to new Concordia research

A new hybrid method developed by Concordia researchers combines data from Weibull probability distribution and numerical weather prediction models to improve wind speed forecasting accuracy. This innovation has the potential to significantly enhance urban power generation, particularly in areas with high variability in wind speeds.

SourceConcordia University·JournalEnergies·TypeData/statistical analysis·DateOct 31, 2023

How weather phenomena affect ocean circulation

Research investigates impact of storm fronts, tropical storms, and cyclones on ocean circulation, finding changes in atmospheric synoptic variability (ASV) slow down ocean circulation and decrease primary productivity. ASV variations also affect mixing of ocean's layers and strength of oceanic circulation systems.

SourceHelmholtz Centre for Ocean Research Kiel (GEOMAR)·Journalnpj Climate and Atmospheric Science·TypeComputational simulation/modeling·DateOct 13, 2023

Experiencing record-breaking heat days affects perception of weather trends

A new study finds that experiencing record-breaking heat days increases perceptions that the weather is getting hotter, but has little effect on beliefs in climate change. Record-heat days can drive changes in the general perception that the weather is worsening, regardless of season or media coverage.

SourceAnnenberg Public Policy Center of the University of Pennsylvania·JournalScientific Reports·TypeSurvey·DateOct 11, 2023

Warm summers and wet winters yield better wine vintages

Researchers analyzed 50 years of Bordeaux wine critic scores with weather data to show that warmer temperatures, higher rainfall, and earlier seasons yield better vintages. Climate change is predicted to increase these conditions, potentially improving wine quality, but water scarcity poses a risk.

SourceCell Press·JournaliScience·TypeComputational simulation/modeling·DateOct 11, 2023

Extreme weather events linked to increased child marriage

Research reveals that extreme weather events exacerbate existing problems of gender inequality and poverty, leading families to marry off children as a coping mechanism. Girls who are educated are less likely to be married off early, highlighting the importance of education in protecting against child marriage.

SourceOhio State University·JournalInternational Social Work·TypeSystematic review·DateAug 29, 2023

Stevens researchers take aim at weather forecasters’ biggest blindspot

Researchers at Stevens Institute of Technology have developed more accurate nowcasting algorithms to predict short-term weather forecasts. The study found that probabilistic models are highly accurate in predicting both long- and short-term rainfall events, while deterministic models are better suited for extremely short-term projections.

SourceStevens Institute of Technology·JournalEnvironmental Modelling & Software·TypeExperimental study·DateAug 28, 2023

Sri Lanka floods easier to predict with India weather tool

Researchers at the University of Reading have discovered a link between Indian weather forecasting techniques and predicting extreme rainfall in Sri Lanka. By analyzing wind patterns and the Madden-Julian Oscillation, they can identify areas prone to heavy rainfall, allowing communities to better prepare for deadly natural disasters.

SourceUniversity of Reading·JournalGeophysical Research Letters·TypeObservational study·DateJul 27, 2023

Scientists show way to mitigate extreme weather events

Researchers at RIKEN have demonstrated a method to prevent severe weather events by inducing small perturbations in the Lorenz 96 model. This approach utilizes the inherent chaos in weather systems to limit extreme events, which become more common due to climate change.

SourceRIKEN·JournalNonlinear Processes in Geophysics·TypeComputational simulation/modeling·DateJun 20, 2023

Here comes the sun

A recent study suggests that songs with high energy and positive emotions are more likely to match prevailing weather conditions, influencing listener preferences. The research found a strong association between energetic and positive music and warm and sunny weather, but only for popular songs.

SourceMax-Planck-Gesellschaft·JournalRoyal Society Open Science·TypeMeta-analysis·DateJun 19, 2023

Modular builds may help construction industry weather a perfect storm

A new study suggests that modular production techniques can minimize construction delays caused by weather, resulting in cost savings for builders. The research estimates that using modular construction can reduce costs by approximately AUD$40,000 on a $6.4 million project.

SourceUniversity of South Australia·JournalInternational Journal of Sustainable Building Technology and Urban Development·TypeData/statistical analysis·DateMay 22, 2023

Why good weather isn’t a good thing for stock markets

A recent study found that investors make higher bids in sunny periods, leading to lower discounts for shares. The study also discovered that investors become more optimistic and risk-taker when exposed to sunshine, which can lead to higher bid prices. The research has important implications for investors and market regulators.

SourceUniversity of Portsmouth·JournalJournal of Corporate Finance·TypeData/statistical analysis·DateMay 5, 2023

CSU machine learning model helps forecasters improve confidence in storm prediction

A machine learning model developed by Colorado State University researchers has been tested with forecasters at the Storm Prediction Center to improve medium-range severe weather forecasts. The tool provides a probabilistic measure of hazardous weather events, such as tornadoes and hail, four to eight days in advance.

SourceColorado State University·JournalWeather and Forecasting·TypeComputational simulation/modeling·DateMar 29, 2023

Underused satellite, radar data may improve thunderstorm forecasts

A new technique combining underused satellite and radar data in weather models may improve thunderstorm predictions by capturing a more accurate picture of initial conditions in the boundary layer. This technique showed promise in improving forecasts of convection initiation, several hours before the thunderstorms occurred.

SourcePenn State·JournalMonthly Weather Review·TypeData/statistical analysis·DateMar 9, 2023

USC study: Concern about water driven more by concerns about severe weather than climate change

A new USC study found that people's concerns about severe weather are significantly more predictive of their concerns about water safety than concerns about climate change. This suggests that warning people about water safety and other environmental threats is more effective when linked to extreme weather rather than climate change.

SourceUniversity of Southern California·JournalEnvironmental Science & Technology·TypeData/statistical analysis·DateFeb 14, 2023

Successive, extreme cold events in the Northern Hemisphere this winter may be linked

Research found that abnormally weak meridional potential vorticity gradients in the Northern Hemisphere atmosphere facilitated the development of stationary blocking weather patterns, leading to extreme cold weather and snowstorm events in East Asia and North America. The team predicts improved forecasting with more accurate PV modeling.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAdvances in Atmospheric Sciences·DateFeb 9, 2023

Scientists develop low-cost system to measure space weather without leaving the ground

Researchers created a magneto-impedance sensor magnetometer that measures Earth's geomagnetic field fluctuations, enabling real-time monitoring of space weather and advancement of space research. The device is lightweight, power-efficient, and low-cost, making it suitable for constructing multi-point observation networks.

SourceNagoya University·JournalJournal of Geophysical Research Space Physics·DateDec 16, 2022

Mekong Delta will continue to be at risk for severe flooding

A study by Hokkaido University reveals that the El Niño Southern Oscillation (ENSO) has caused more frequent heavy rainfall in the Mekong Delta, resulting in increased flooding risk. The findings suggest that better weather predictions and preparation can help mitigate the negative effects of floods and droughts in the region.

SourceHokkaido University·JournalScientific Reports·TypeExperimental study·DateDec 7, 2022

Researchers study Eurasia’s winter weather under a “triple-dip” La Niña

A team of researchers studied the upcoming 2022-2023 winter weather in Eurasia, predicting potential below-normal temperatures and severe snowfalls. The study used four climate models to forecast surface air temperature and precipitation anomalies, with some results suggesting a possibility of cold snaps despite warmer overall conditions.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAdvances in Atmospheric Sciences·DateNov 20, 2022

Which weather characteristics affect agricultural and food trade the most?

A new study by the University of Illinois found that temperature in the place of origin has a significant negative impact on export of agricultural goods, while temperature in the destination has little effect. The researchers also identified precipitation as a more nuanced factor in trade.

Opening the eye of the storm

A team of researchers has developed a novel technique using high-energy muon particles to track and visualize tropical cyclones. This technique, called muography, creates X-ray-like images of large objects, including atmospheric weather systems. The resulting images reveal density variations essential to understanding how cyclones work.

SourceUniversity of Tokyo·JournalScientific Reports·TypeExperimental study·DateOct 6, 2022