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Nature s contributions to people found to be in decline

Declining biodiversity is putting nature's contributions to people at risk, impacting crop yields and soil productivity. The degradation of environmental conditions also increases exposure to floods and storms, affecting human well-being and prosperity.

SourceCNRS·JournalProceedings of the National Academy of Sciences·DateDec 9, 2020

Love waves from the ocean floor

Researchers decoded the origin of love waves, generated by ocean storms, which travel through the solid Earth. Stanford University geophysicist Lucia Gualtieri's study suggests that Love waves originate within the Earth itself, not on the seafloor.

SourceStanford University·JournalProceedings of the National Academy of Sciences·DateNov 13, 2020

Escape from Mars: how water fled the red planet

Researchers discovered a large amount of water in the upper atmosphere of Mars, rapidly destroyed by ions, explaining part of the planet's mysterious dryness. This process contradicts the classical picture of water escape from Mars, suggesting it is incomplete and influenced by seasonal and dust storms.

SourceUniversity of Arizona·JournalScience·DateNov 12, 2020

The BMJ reveals worrying cuts to UK medical schools

Financial problems in UK medical schools could significantly affect student education. The sector's debts have risen over the past year, making institutions vulnerable to insolvency. Charity funded research is also expected to fall, resulting in a projected reduction in medical research investment.

SourceBMJ Group·JournalThe BMJ·DateSep 23, 2020

Emergency visits for thunderstorm-related respiratory illnesses

Researchers analyzed atmospheric and lightning data to study the relationship between thunderstorms and increased emergency department visits for respiratory illnesses among older adults. The study found that vulnerable groups may be susceptible to atmospheric changes caused by thunderstorms, leading to higher emergency visit rates.

SourceJAMA Network·JournalJAMA Internal Medicine·DateAug 10, 2020

Researcher builds solution to work-from-home cloud-computing 'storms'

A computer science researcher has developed an algorithm called Orchestra that reduces spikes in resource demands in cloud computing, allowing companies to maintain smooth operations despite increased work-from-home usage. The solution uses lightweight monitoring and performance-based models to adjust cloud resources in real-time.

SourceUniversity of Texas at San Antonio·JournalIEEE Transactions on Cloud Computing·DateJun 16, 2020

'Gargantuan' hail in Argentina may have smashed world record

A recent storm in Argentina produced hailstones up to 9.3 inches across, potentially setting a new world record. Researchers suggest classifying such large hailstones as 'gargantuan' and emphasize the need for more awareness and data collection to better understand these extreme events.

SourcePenn State·JournalBulletin of the American Meteorological Society·DateApr 29, 2020

Preparing for climate change

Scientists are developing new ways to mitigate climate change while enabling people and ecosystems to survive and thrive. Researchers are reengineering crops to increase yield and resist disease, modifying coral DNA to make reefs more resilient, and creating innovative solutions for cities to protect infrastructure from extreme weather.

SourceAmerican Chemical Society·JournalChemical & Engineering News·DateFeb 12, 2020

Study reveals links between extreme weather events and poor mental health

Research found that people experiencing storm and flood damage are about 50% more likely to experience poorer mental health, even when the damage is minor. The study suggests that climate change will increase the frequency and intensity of storms and floods in the UK, highlighting the need for mental health support.

SourceUniversity of York·JournalInternational Journal of Environmental Research and Public Health·DateSep 5, 2019

Machine learning helps predict if storms will cause blackouts

A Finnish research team developed a machine learning approach to predict storm severity, using data from power outages and storm characteristics. The algorithm achieved promising results in predicting class 0 no-damage storms and class 3 damaging storms, with plans to refine the model for winter storms.

SourceAalto University·JournalIEEE Transactions on Geoscience and Remote Sensing·DateAug 2, 2019