Articles tagged with Weather Simulations
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
Researchers at Newcastle University and the UK Met Office identified a three-layered atmospheric structure associated with heavy rainfall developing within minutes. The findings help explain record-breaking rainfall and flash floods in the UAE and Oman in April 2024, and may aid future improvements in identifying risk.
Researchers at the University of Kansas have developed a tornado-forecast system called Warn-on-Forecast System (WoFS) that can predict tornado formation up to an hour before it occurs. The system uses high-resolution simulations and gauges uncertainties, providing guidance on severe weather threats.
Residential wood burning accounts for over one-fifth of wintertime exposure to outdoor fine particulate matter, linked to increased risks of heart disease and premature death. By reducing indoor wood burning, Americans could decrease outdoor air pollution and save thousands of lives.
Researchers recommend shifting Olympic and Paralympic Games to earlier dates to protect fairness and safety for athletes. Snowmaking is also seen as a crucial adaptation strategy to ensure the viability of snow sports.
Recent research reveals that volcanic eruptions can cause unpredictable weather patterns, including volcanic rain, dust storms, and unstable Antarctic air. The study also found that the Antarctic surface atmosphere has become less stable and more prone to gravity waves since the 1950s.
A team of researchers used innovative approaches, including public data and machine learning models, to create more accurate predictions of coastal erosion and infrastructure damage. The project aims to improve storm preparedness and timeliness.
Scientists developed an objective index for monitoring and detecting shear lines over the Philippines, accounting for up to 20% of extreme rainfall days. The detection method is useful for weather forecasting, early warning systems, and understanding how this weather system evolves.
The 106th Annual Meeting of the American Meteorological Society will focus on the intersection of technology and human decision-making in weather, water, and climate sciences. The meeting will feature keynote presentations, Presidential Sessions, and named symposia highlighting key Earth science topics.
Researchers investigate how adjacent cities exacerbate each other's heat island effects. A study also highlights the need for improved hindcasting infrastructure in climate science. Additionally, a campaign monitors pinned clouds over industrial sources of heat and finds that trees are more reliable against heat stress than buildings.
Researchers at RIKEN successfully simulated the Milky Way Galaxy with over 100 billion individual stars, far surpassing previous state-of-the-art models. This achievement demonstrates the power of AI-accelerated simulations in tackling complex multi-scale problems in astrophysics and beyond.
A dual-source data-driven gated spatiotemporal fusion network significantly enhances the accuracy of fine-scale lightning forecasting. The model combines the strengths of weather foundation models and recent lightning observations, leveraging complementary features to improve forecast performance.
A new study developed a flood-forecasting AI that can be tuned for any country, reducing errors in national flood prediction programming. The hybrid model combining the AI with the National Water Model was four to six times more accurate, improving forecast accuracy and potential economic impacts of floods.
Scientists at Rice University and NSF NCAR are developing a new climate model that can track water's unique fingerprints, providing insights into the water cycle and its impact on climate systems. The project aims to better understand how much rain falls, where moisture comes from, and how it travels through the atmosphere and oceans.
A new study by Bournemouth University confirms that red squirrel populations across Europe are resilient to the effects of climate change, but highlights the need for conservation efforts to protect their habitat. The study found that temperature changes and low rainfall do not directly affect the survivability of red squirrels.
Researchers from the University of Maryland tracked lightning storms in real-time using NASA's TEMPO instrument, detecting nitrogen oxide emissions that affect climate and air quality. The study reveals how lightning can produce pollutants that travel long distances, influencing air quality far from the original storm.
A new AI system developed by the University of Miami Rosenstiel School can automatically identify and track tropical easterly waves, separating them from other tropical wind patterns. The model combines historical observations with reanalysis data to produce accurate real-time forecasts.
Tiny droplets of sea spray can affect hurricane intensity, but measuring their concentration and size is challenging. Researchers at the University of Texas at Dallas are using lab experiments and simulations to develop a machine learning model that incorporates these factors.
A new framework developed by Northwestern University and UCLA scientists integrates various water-related processes with a machine-learning model to predict landslide threats. The framework identifies three main pathways leading to landslides: intense rainfall, rain on already saturated soils, and melting snow or ice.
Researchers estimate that lightning kills around 320 million trees each year, resulting in significant biomass loss. This equates to an annual emission of 0.77-1.09 billion tons of CO₂, comparable to the emissions from wildfires.
A team of scientists has developed a high-resolution climate model that simulates global climate change at 9 km atmospheric and 4-25 km oceanic scales. The model demonstrates superior performance compared to lower-resolution models, providing detailed regional insights into future climate conditions.
A study predicts that Barcelona will experience extreme and dry heat periods with temperature increases of up to 4ºC and a general reduction in relative humidity. The research forecasts an increase in average maximum temperatures of 4ºC and average minimum temperatures of 3.5ºC if greenhouse gas emissions are not drastically reduced.
A new study published in Weather and Forecasting found that Hurricane Hunter flights can increase forecast accuracy by up to 24 percent. The researchers analyzed forecasts for all tropical cyclones in the Atlantic basin from 2018 to 2022, comparing forecasts with and without NOAA G-IV data.
Researchers have made significant breakthroughs in understanding the complex interactions between climate drivers and the Southern Hemisphere's Eddy-Driven Jet. By analyzing historical data and applying innovative statistical methods, they found that 50% of the observed shift in the jet stream is directly attributable to global warming.
Researchers found several volatile phases in the polar jet stream over the past 125 years that predate significant climate change effects. The study suggests that natural fluctuations may be driving recent erratic behavior of the jet stream, rather than climate change.
A new study predicts that a 2°C temperature rise could double the frequency of short-lived summer downpours in the Alpine region, causing severe damage and posing risks to lives. The analysis of nearly 300 mountain weather stations found that warm air retains more moisture, intensifying thunderstorm activity.
Researchers at Uppsala University predict that concurrent extreme events will become more frequent due to climate change, posing new challenges for preparedness. The study examines six types of events and finds a sharp increase in combinations of heatwaves and forest fires, as well as heatwaves and droughts, in various regions worldwide.
A new study finds that increasing atmospheric evaporative demand is making droughts 40% more severe globally over the past 40 years. As the atmosphere warms, air can hold more moisture, leading to increased water demand and pulling more water from soils, rivers, and plants.
A new study from Caltech finds that the Atlantic meridional overturning circulation, commonly referred to as the AMOC, will weaken by around 18 to 43 percent at the end of the 21st century. This represents a limited decline, rather than substantial weakening as previously predicted, addressing a long-standing uncertainty in climate sci...
A new study projects that wind losses for homeowners in the Southeast will increase by 76% by 2060 and 102% by 2100. Texas is expected to experience the highest increase in losses, followed by Louisiana, Mississippi, and Alabama.
A team of researchers developed a machine learning model called Aurora that accurately forecasts various Earth systems, including air quality and tropical cyclone tracks. The model outperforms traditional systems at a fraction of the cost, enabling better preparedness for extreme weather events.
A new study reveals the atmosphere can store moisture over extended periods, creating a physical memory effect. This 'memory' allows monsoon systems to flip between two stable states, with severe consequences for regions relying on monsoon rainfall.
The American Meteorological Society warns that catastrophic cuts to federal science agencies like NOAA threaten the US weather enterprise, which supports public safety, private sector operations, and national security. A strong weather enterprise is essential for America's economic leadership.
A new study has discovered that increasing ocean resolution is key to accurately simulating AMO variability, particularly at multidecadal timescales. High-resolution ocean experiments correctly showed the AMO lasting 40-80 years, while low-resolution ocean experiments showed unrealistic cycles every 10-20 years.
A new study by MIT scientists finds that extreme storm tides will increase tenfold for Bangladesh, with what was once a 100-year event now striking every 10 years by the end of the century. The country's densely populated coastal regions are expected to experience more frequent and severe flooding events as a result.
A new computer modeling tool suggests that Bronze Age people may have traveled directly over the open ocean between Denmark and Norway. The simulations indicate that such trips were possible, but required a boat with specific capabilities and good weather forecasting.
A new study reveals that two dam failures and flawed risk assessment amplified the Derna Flood, which was nearly twentyfold more destructive than expected. The research highlights the urgent need for improved flood mitigation strategies, especially in dryland regions.
University of Missouri researchers developed a method using lidar and AI to analyze pedestrian, cyclist, and vehicle interactions at traffic signals. The approach aims to enhance driver awareness, reduce accidents, and improve mobility.
A new real-time surface PM10 retrieval framework uses interpretable automated machine learning to provide accurate data across China. The framework demonstrates robust generalization and stability, outperforming previous studies in cross-validation and rolling iterative validation experiments.
Research reveals Atlantic Ocean storms are primary drivers of Sahara lake filling, contradicting previous theories. Heavy precipitation events triggered by extreme rainstorms reshape water availability in the desert, with implications for ecosystems and human settlements.
A University of Malaga study highlights the importance of accurate estimates of marine litter to address the environmental concern. The research found that current monitoring strategies are inadequate, and simulation experiments identified the most appropriate sampling strategies to achieve more accurate results.
A new study reveals that atmospheric gravity waves play a crucial role in driving latitudinal air currents on Mars, particularly at high altitudes. The findings suggest fundamental differences from Earth's middle atmosphere.
A new study combines satellite collar data with specialized cameras to shed light on the mysterious and important stage of maternal denning. The researchers found that using both methods can accurately predict when polar bears will emerge from their dens and how external factors like temperature influence their behavior.
A new study by MIT confirms the Antarctic ozone layer is healing, with high statistical confidence that reductions in CFCs are the primary cause. The research uses fingerprinting to isolate the anthropogenic signal and rule out natural variability.
The US weather enterprise faces significant risks due to federal science funding cuts, which could lead to reduced weather forecasting accuracy and increased vulnerability to hazardous weather. The value of weather information to the US economy exceeds $100 billion annually.
A new study improves typhoon track and intensity forecasts using advanced parameterization schemes for friction velocity and cloud microphysics. The results show enhanced predictions with improved timing and magnitude of extreme tropical cyclone intensity values.
A new study reveals that downtown Houston skyscrapers designed to withstand hurricanes are actually more vulnerable to intense, localized wind forces called downbursts. The research found that these strong winds can cause significant damage to facade panels, cladding, and windows on lower floors.
A new study reveals that dust storms picking up black carbon from heavily-polluted areas and depositing it in the mountains darkens the ice and snow, causing it to melt faster. This regional environmental problem is a second, more local cause of glacier loss in the Himalayas.
A new study improves solar power forecasts by applying machine learning and post-processing techniques to weather models, revealing the time of day as a crucial factor for accuracy. The research suggests that including hourly data in algorithms can significantly enhance forecasting results.
A study found that excessive Tibetan Plateau spring warming was the primary factor driving catastrophic June 2024 heavy rainfall in southern China. The research used the ESM to simulate extreme warm temperatures over the TP and heavy rainfall in S. China, reproducing approximately 55% of the observed anomaly.
A new study simulates a medium-sized asteroid collision with Earth, revealing dramatic disruptions in climate, atmospheric chemistry, and global photosynthesis. However, ocean plankton growth surprisingly recovers quickly and even increases after the impact, potentially alleviating emerging food insecurity.
Researchers simulate turbulent systems using probability distributions, bypassing chaotic behavior. This approach enables faster computation and opens new avenues for simulating other complex systems.
A recent study has employed machine learning algorithms to improve the accuracy of flood season rainfall predictions. The findings show that combining climate system numerical models with ML-based correction methods results in substantial improvements, increasing prediction scores by up to 7.87%.
Researchers analyzed tropical storm-related precipitation to understand its impact on local water resources and provide insights into climate predictions. The study aims to help communities prepare for extreme storms and manage water resources before and after the storms.
Researchers developed a new data assimilation algorithm using the LETKF technique to enhance global precipitation estimates. The model improved accuracy and computational efficiency, making it suitable for large-scale applications, particularly in mountainous regions.
NRL oceanographers received a Group Achievement Award from NASA for their collaboration with S-MODE, providing real-time ocean model forecasts and glider guidance. The project successfully observed and forecasted ocean features that are too small to see from space, allowing scientists to better understand the global earth system.
Researchers identified alkene ozonolysis as the dominant driver of O₃ formation during cold January days in Lanzhou, China. The study proposes actionable mitigation strategies to reduce O₃ levels by targeting alkene and nitrogen oxide emissions.
The one-core-neuron system (OCNS) minimizes model size while maintaining high performance in deep learning. OCNS employs a single neuron to encode high-dimensional data into a one-dimensional time-series representation, reducing parameters by an average of 0.035%.
Computer models predict that climate change will lead to an increase in spongy moth outbreaks, causing widespread damage to forests. The fungus that normally curbs the moths' spread is expected to decline, allowing the moths to destroy more trees as temperatures rise.
The 105th Annual Meeting of the American Meteorological Society will address key issues in weather, water, and climate. The meeting features a Presidential Forum on physical, social, cultural, and economic impacts of climate change, with experts from the region of the Mississippi River Delta.
A team from the University of Cambridge has developed a model to predict desert locust swarms, enabling national agencies to respond quickly. The model uses weather forecast data and computational models to forecast locust swarm movements both short and long-term.