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 UC San Diego developed practical strategies for building and coordinating balloons within hurricanes, using GPS and cellphone-grade sensors. The approach leverages control theory to distribute balloons horizontally and mitigate turbulence fluctuations, enabling improved in-situ sampling and forecasts.
DeMarco's work on dynamical systems has led to the emergence of arithmetic dynamics, a field that connects number theory with mathematical structures. Her research has also shed light on connections between dynamical systems and elliptic curves in arithmetic geometry.
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.
A recent study used a convective-permitting ensemble forecast system to evaluate the extreme rainfall event on July 21, 2012, in Beijing. The results showed that some members of the ensemble forecasting system captured the extreme prediction reasonably well, including the timing and location of extreme precipitation.
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 Rice University-led team demonstrates how to improve the quality of simulations run on supercomputers by using inexact computing methods, which can reduce energy costs and maintain accuracy levels. The approach allows for significant improvements in solution quality within a fixed energy budget.
Rensselaer Polytechnic Institute researchers develop a model to forecast the impact of rising temperatures on lakes' carbon cycle, with potential implications for global warming. By analyzing 2,000 lakes across the US, they aim to understand how lakes will respond to changing weather patterns and emissions.
Researchers have created a more realistic picture of wind energy output in Europe, correcting for biases in existing data. The updated simulations show that the current European average capacity factor is 24.2%, but could increase to over 31% with improved grid interconnection and technology advancements.
A University of Utah study found that traditional lawn watering recommendations are often inaccurate for urban conditions in Los Angeles. By measuring evapotranspiration in shaded areas, researchers developed a new approach to adjust watering rates and achieved higher accuracy than existing models.
A new study found that household use of coal and dirty fuels in households is a major contributor to Beijing's notorious air pollution. Eliminating these emissions could reduce particulate levels by up to 22%. Regional efforts are crucial to address this issue, as individual cities may not have control over surrounding regions.
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.
Researchers at NASA's Goddard Space Flight Center use computer models to study tropical storms and hurricanes. Improved models can lead to better predictions and warnings for natural disasters like flooding and property loss.
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.
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.
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 developed a framework to address uncertainty in mathematical models by considering the effects of correlated parameters. This approach improves model predictability and reliability, with applications in fields such as catalysis, combustion, environmental sciences, and biology.
A study by Oxford University scientists found that human-induced climate change increased the risk of severe storms in the south of England, leading to devastating flooding. The analysis attributed the increase in extreme rainfall to thermodynamic changes in the atmosphere and westerly air flow.
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.
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.
A University at Buffalo study uses Twitter data to enhance computer models guiding traffic during snowstorms and adverse weather. By analyzing over 360,000 tweets, researchers found that including such data improves the accuracy of models, particularly during peak tweeting hours and in densely populated areas.
A team of scientists from the National Oceanography Centre are on a six-week expedition to the Bahamas to update and acquire data from ocean instruments. This data helps make long-term forecasts of weather and climate by feeding it into models of the ocean and atmosphere.
Researchers used holographic imaging to analyze cloud mixing behavior, revealing clear boundaries between wet and dry air. The findings challenge current computer models and may enhance weather predictions by providing more accurate insights into cloud interactions.
A new model can measure the magnetic field configuration of a solar eruption significantly further ahead in time, potentially giving forecasters 24-hour advance warning to protect their systems. The model uses NASA's Solar Dynamics Observatory data and has been tested on eight different CMEs with promising results.
Researchers from Boston University, University of Michigan, and Chinese Academy of Sciences develop comprehensive solar wind models. The CISM, CSEM, and SIGMA groups create high-performance coupled models to simulate the complex behavior of solar winds and their impact on Earth's environment.
Researchers found that smoke from spring fires in Central America intensified conditions leading to severe tornadoes in the US. The study's results suggest a novel mechanism by which smoke affects tornado severity, and highlight the importance of considering atmospheric particles in weather prediction models.
A Tel Aviv University study prioritizes reasons for forecast failures across different regions, identifying man-made and natural factors such as land-use changes, topography, particles in the atmosphere, and population density. The researchers found unique factors affecting forecasts in various regions, including Europe, North Africa, ...
A new GPS system on commercial aircraft captures detailed meteorological readings to improve weather models and hurricane forecasts. This technology has the potential to save lives and provide more accurate predictions.
Yiqi Luo, a University of Oklahoma professor, has been named an AAAS Fellow for his work on data assimilation and ecological forecasting. His research aims to predict ecosystem changes in response to environmental shifts, which could inform global responses to climate change.
A new radar network offering higher resolution data and earlier warning of severe weather has been installed in the Dallas-Fort Worth metroplex. The system provides finer resolution and improved data on rainfall amounts, wind shear, and tornado signatures within storms.
UI researchers assessed global numerical weather prediction models' performance in predicting severe flooding in Boulder, Colo. in September 2013. The study found that while models generally performed well, there is room for improvement in capturing persistent rainfall and accurately forecasting flood events.
Researchers create a new computer model that combines cutting-edge simulations of weather and fire with satellite observations to predict the extent and behavior of wildfires. The technique, called CAWFE, allows for updated forecasts every 12 hours, enabling accurate predictions throughout a fire's lifetime.
Researchers at NCAR and University of Maryland create a new model that combines weather simulations with satellite observations to predict wildfire growth. The model can produce accurate forecasts every 12 hours, improving prediction tools for large, intense wildfires.
The Coupled Ocean/Atmosphere Mesoscale Prediction System-Tropical Cyclone (COAMPS-TC) offers detailed intensity forecasts of tropical storms, improving accuracy for Navy and civilian officials. The new model will help predict a storm's strength from one to five days out, supporting fleet operations and disaster relief efforts.
Scientists use direct statistical simulation to model fluid jets, fast-moving flows in oceans and atmosphere. The new approach is a key step toward bringing basic physics models to bear on climate science, enabling more efficient climate simulations.
Suomi NPP, a partnership between NASA and NOAA, supports Earth science research and weather forecasting by providing critical data for global change science and improving short-term weather forecasts. The satellite's observations help advance science and increase the accuracy of meteorological predictions.
A BYU mechanical engineering professor's research reveals that internal waves play a crucial role in predicting weather, leading to frequent forecasting mistakes. By understanding how these waves move energy around, forecasters can develop better linear wave models to improve their predictions.
The study reveals that horizontal convective rolls affected fire behaviour, introducing variability in wind, temperature, and humidity conditions. This new understanding has the potential to improve fire management and warning systems, providing a better guide for public warning systems and firefighting resources.
The next generation of Digital Earth seeks to address issues with current digital globes by incorporating local perspectives, temporal information, and open-source partnerships. This shift aims to improve accuracy and inclusivity while maintaining scientific standards.
Researchers at University of Missouri-Columbia discovered that the region's record-warm February and March were linked to a similar La Niña climate pattern in 1889. This finding could help scientists develop more accurate weather prediction models by understanding the variability within climate patterns.
The Office of Naval Research is developing advanced weather prediction models to enhance the Navy's forecasting capability, accuracy, and safety at sea. The new models, such as TC-COAMPS, enable real-time forecasting of storms' track and strength, improving warfighting advantage and reducing fuel consumption.
Researchers found a significant warming effect over wind farms, up to 0.72 degrees Celsius per decade, attributed to turbine wake interactions. The study uses satellite data to quantify the potential impact of wind farms on weather and climate.
A new study published in Environmental Science and Technology found that air pollution from cars, trucks, planes, and powerplants cause 13,000 premature deaths in the UK each year. Car exhaust was the single greatest contributor to premature death, affecting over 3,300 people annually.
Researchers at Syracuse University developed statistical prediction models to help utilities assess risk and identify failing pipes. The models allow for proactive maintenance and reduced costly emergency repairs.
A new study uses weather forecasting models to predict the spread of brain tumors, demonstrating the feasibility of a mathematical approach. The model, known as LETKF, provides accurate and efficient predictions of tumor growth and spread, taking into account errors in model parameters and measurement uncertainties.
Researchers focus on Northern Bettong to understand climate change impact. Short-term weather events reveal clearer insights into animal movements and range boundaries than gradual climate changes.
Researchers propose a new model, 'wrap up', explaining the evolution of low pressure systems. This model addresses weaknesses in the Norwegian meteorological model, providing a better understanding of severe weather conditions.
Research suggests planes may induce odd-shaped holes or canals into clouds, potentially increasing precipitation near airports with frequent cloud cover. This inadvertent seeding process works similarly to intentional cloud seeding and may require more frequent de-icing for planes.
The PhenologyMMS software predicts plant growth stages based on weather reports and soil moisture, providing farmers with a decision-making tool to optimize crop management. The program covers multiple crops, including corn, wheat, barley, and millet varieties, and can be used independently or integrated into existing models.
The new Space Weather App allows users to access real-time images and data on solar events, including coronal mass ejections and X-ray outbursts. Users can customize the app to display information of interest, increasing public awareness of space weather.
A physics-based space weather prediction model is now in operation, offering a one-to-four day warning of high-speed solar plasma streams and Earth-directed coronal mass ejections. This development addresses the growing need to protect global communications infrastructure from severe space weather disruptions.
Researchers used Doppler weather radar data to improve forecast models for monsoon systems, reducing landfall error from 200km to 75km. This enhancement can better prepare people for heavy rains and catastrophic floods in coastal areas of India.
The GOES-P spacecraft is proceeding through final checks before its launch on March 1. The Imager, Sounder and Solar X-Ray Imager have completed cleaning and inspections, while optical port covers are being installed as the last mechanism to be deployed in orbit.
The University of Oklahoma Center for Analysis and Prediction of Storms has been awarded three separate grants worth nearly $3 million to enhance severe weather prediction, improve wildfire management and predict tropical cyclones. The grants will focus on next-generation supercomputing, improved model resolution and advanced data assi...
A Georgia State University professor will use a $1 million grant from the National Science Foundation to develop an integrated model that combines wildfire, weather, and operational models. The model aims to provide firefighters with a decision-making tool for combating wildfires more effectively.
A NASA experiment has successfully 'hindcasted' the path of Cyclone Nargis, which killed over 135,000 people in 2008. The new data integration and mathematical modeling approach uses satellite imagery and atmospheric profiles to provide multi-day advance warnings for cyclones in the Indian Ocean.
Researchers use MODIS data to detect natural oil slicks in the Gulf of Mexico, finding a higher occurrence than previously thought. Meanwhile, studies suggest freak waves may be responsible for shipwrecks in Japan's notorious wave-prone region, with modeling revealing a cascade process governing weather dynamics.
Kristine C. Harper's 2008 book, 'Weather by the Numbers: The Genesis of Modern Meteorology,' has received international acclaim from atmospheric science librarians. The book explores the transformation of meteorology from an art to a scientific discipline, highlighting the development of numerical weather prediction and its impact on w...
Using NASA satellite data, forecasters can now more accurately predict the timing of two out of three dust events. This capability is crucial for issuing early warnings to populations at risk for dust-related health complications.
A team of Arizona State University researchers is investigating human vulnerability to deadly heat exposure in the face of climate change. The study aims to guide policymakers and planners in bolstering protective measures to prevent heat-related illness and deaths.
Researchers plan to develop exascale machines that can process over 10^18 calculations per second, with a focus on virtualization and managing multiple programs on a single platform. The goal is to lay the groundwork for future systems that can guarantee service levels even in the event of machine failure or overload.