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Categories: Geoscience: Severe Weather, Mathematics: Modeling
Published First local extinction in the US due to sea level rise, study suggests
(via sciencedaily.com) Original source The United States has lost its only stand of the massive Key Largo tree cactus in what researchers believe is the first local extinction of a species caused by sea level rise in the country.
Published Groundbreaking study reveals oceanic seabirds chase tropical cyclones
(via sciencedaily.com) Original source A new study reveals that the rare Desertas Petrels (Pterodroma deserta), a wide-ranging seabird in the North Atlantic, exhibit unique foraging behaviors during hurricane season. Contrary to other pelagic seabirds, these petrels do not avoid intense tropical cyclones but instead exploit the dynamic conditions for their benefit, providing new insights into the impact of cyclones on open ocean marine life.
Published Engine wear risk as planes swallow more dust waiting to land
(via sciencedaily.com) Original source Planes flying into one of the world's busiest airports are ingesting around 10kg of dust per 1,000 flights.
Published Innovative, highly accurate AI model can estimate lung function just by using chest x-rays
(via sciencedaily.com) Original source An artificial intelligence (AI) model that can estimate with high accuracy a person's lung function just by using a chest radiograph has been successfully developed.
Published Exploring the radiative effects of precipitation on Arctic amplification and energy budget
(via sciencedaily.com) Original source While, in theory, precipitation impacts the Earth's radiation budget, the radiative effects of precipitation (REP) are poorly understood and excluded from most climate models. Hence, a new study examined the role of REP in the global and regional energy budgets and hydrological cycles, finding that REP significantly contributes to temperature and precipitation variations at different geographical scales, especially in the Arctic warming. This highlights the relevance of including REP in climate modeling for improved accuracy.
Published How dust pollution from shrinking Great Salt Lake affects communities disproportionately
(via sciencedaily.com) Original source Exposure to wind-blown dust from exposed playa of the Utah lake is worse in Hispanic neighborhoods, according to new research. Findings suggest restoring the lake could ease social inequities associated with air pollution.
Published Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease
(via sciencedaily.com) Original source Drosophila -- known as fruit flies -- are a valuable model for human heart pathophysiology, including cardiac aging and cardiomyopathy. However, a choke point in evaluating fruit fly hearts is the need for human intervention to measure the heart at moments of its largest expansion or its greatest contraction to calculate cardiac dynamics. Researchers now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and high-speed video microscopy.
Published Machine learning could aid efforts to answer long-standing astrophysical questions
(via sciencedaily.com) Original source Physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.
Published Early-onset El Niño means warmer winters in East Asia, and vice versa
(via sciencedaily.com) Original source Researchers have found that the early onset of El Nino around June leads to warm winter climates in Japan, while the late onset of El Nino is associated with colder winters. By analyzing 100-ensemble member climate simulations over the past 61 years, the team found that the warming of the tropical Indian Ocean was a player in warmer Japanese winters.
Published Study explores what motivates people to watch footage of disasters and extreme weather
(via sciencedaily.com) Original source The release in July 2024 of the blockbuster film Twisters (centred around a social-media celebrity storm-chaser) demonstrates an ongoing public fascination in hazards and extreme weather. The arrival of camera and streaming technologies have made it easier to collect and share such footage in recent years, resulting in often dramatic footage being live-streamed on platforms such as YouTube, TikTok and Discord. Now, a new study has analyzed what might be motivating people to watch these streams -- in some instances for up to 12 hours at a time.
Published Moving beyond the 80-year-old solar cell equation
(via sciencedaily.com) Original source Physicists have made a significant breakthrough in solar cell technology by developing a new analytical model that improves the understanding and efficiency of thin-film photovoltaic (PV) devices.
Published Dampening the 'seeds' of hurricanes
(via sciencedaily.com) Original source Increased atmospheric moisture may alter critical weather patterns over Africa, making it more difficult for the predecessors of many Atlantic hurricanes to form, according to a new study.
Published AI model finds the cancer clues at lightning speed
(via sciencedaily.com) Original source AI model finds the cancer clues at lightning speed. Researchers have developed an AI model that increases the potential for detecting cancer through sugar analyses. The AI model is faster and better at finding abnormalities than the current semi-manual method.
Published Can A.I. tell you if you have osteoporosis? Newly developed deep learning model shows promise
(via sciencedaily.com) Original source Researchers have developed a novel deep learning algorithm that outperformed existing computer-based osteoporosis risk prediction methods, potentially leading to earlier diagnoses and better outcomes for patients with osteoporosis risk.
Published Study reveals why AI models that analyze medical images can be biased
(via sciencedaily.com) Original source Researchers have found that artificial intelligence models that are most accurate at predicting race and gender from X-ray images also show the biggest 'fairness gaps' -- that is, discrepancies in their ability to accurately diagnose images of people of different races or genders.
Published Antarctic ice shelves hold twice as much meltwater as previously thought
(via sciencedaily.com) Original source Slush -- water-soaked snow -- makes up more than half of all meltwater on the Antarctic ice shelves during the height of summer, yet is poorly accounted for in regional climate models. The findings could have profound implications for ice shelf stability and sea level rise.
Published Groundbreaking discovery: Zinc can make crop yields more climate-resilient
(via sciencedaily.com) Original source Climate change, drought, increased temperature and other stressors challenge agricultural sustainability. Researchers have now made an unexpected discovery: zinc plays a pivotal role in the plant response to abiotic stress. This groundbreaking discovery not only sheds light on the intricate mechanisms of plant growth but also holds promise for revolutionizing crop resilience, especially in legume-based agriculture.
Published New deep-learning model outperforms Google AI system in predicting peptide structures
(via sciencedaily.com) Original source Researchers have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides -- chains of amino acids that are shorter than proteins, but perform similar biological functions. Peptides are known to be highly flexible, taking on a wide range of folding patterns, and are thus involved in many biological processes of interest to researchers in the development of therapeutics.
Published Common plastics could passively cool and heat buildings with the seasons
(via sciencedaily.com) Original source By restricting radiant heat flows between buildings and their environment to specific wavelengths, coatings engineered from common materials can achieve energy savings and thermal comfort that goes beyond what traditional building envelopes can achieve.
Published New twists on tornadoes: Earth scientist studies why U.S. has so many tornadoes
(via sciencedaily.com) Original source Across the Midwest during the warmer months, studying the sky for signs of storms and tornadoes becomes one of the most popular pastimes. Working at the intersection of climate science and meteorology and using modeling, scientists are looking at the big picture of what causes severe storms and tornadoes -- and what dictates where they occur.