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 develop novel weather and climate modeling strategy to isolate interactions between weather and climate, applying it to the NCAR's Community Climate System Model. This project aims to advance Earth system science, improve weather and climate predictions, and inform environmental policies.
Researchers develop model predicting disease outbreaks based on weather patterns and climate variability. The study shows an association between high temperature and daily incidence of cryptosporidiosis in Massachusetts, highlighting the need for better understanding of how climate affects disease spread.
A new research project funded by the National Science Foundation aims to improve weather models and analysis for industries such as food, clothing, and energy. The goal is to educate meteorologists on how to apply weather forecasts to real-world business decisions.
A predictive model, sCast, uses October snow cover in Siberia to predict winter temperatures and snowfall in the Northern Hemisphere. The model has been verified to accurately forecast winter conditions over much of eastern United States and Northern Eurasia.
A pilot forecasting program in Bangladesh is delivering 1- to 10-day forecasts directly to over 100,000 people living on floodplains, alerting them to potential floods. The system uses a combination of weather forecast models, satellite observations, and hydrologic modeling techniques to predict flooding.
A new NASA study suggests that greenhouse-gas warming may raise average summer temperatures in the eastern United States nearly 10 degrees Fahrenheit by the 2080s. This could lead to extremely hot summertime temperatures, especially during summers with less-than-average frequent rainfall.
A new model developed by researchers at the University of California - Santa Barbara predicts the survival of coral reefs based on their shape and size. The study found that table corals with broad flat tops are more susceptible to strong wave forces, while bushy or mounded corals are less vulnerable.
Researchers at Purdue University found that considering all interactions among temperature, radiation, precipitation, and land use can aid humans in preparing for extreme shifts in weather patterns. They discovered that a lack of precipitation will have the most dramatic effect on living conditions in the future.
The Weather Research and Forecasting model (WRF) has been adopted for operational use, predicting extreme weather with substantially improved accuracy. The high-resolution WRF serves both public forecasts and cutting-edge research, leading to better forecasts.
Researchers from NASA and international agencies have developed a new tool to predict the timing of ozone hole recovery. They predict the ozone hole will recover around 2068, nearly 20 years later than previously believed.
Scientists at Rutgers have created a computerized model to understand the degree of harmful exposure in the immediate aftermath of the World Trade Center attacks. The model, combining satellite data and regional weather forecasts, provides a way to evaluate human exposure to aerosols released during the disaster.
A Purdue University researcher has developed a more accurate weather prediction model by incorporating the amount of moisture surface vegetation releases into the upper atmosphere. This new approach improved forecasts of storm intensity, location, and timing, leading to better severe weather predictions.
Researchers at UC Davis are studying the Madden-Julian Oscillation to improve weather and climate forecasting. The phenomenon has subtle effects on US weather patterns, including links between intense rainfall and droughts.
Researchers at Johns Hopkins University have discovered a new mathematical formula, called the advected delta-vee equation, that can help predict turbulent flow behavior. This equation provides a shortcut to describe a complex characteristic of turbulence called intermittency, which is difficult to include in computer models.
Researchers discovered the physics behind coastal wind jets, which can gust up to 40% higher than normal wind speeds. This knowledge could aid sailors in planning strategies and improve weather forecasting for wind energy and flood prevention.
Climate models predict a rapid increase in global temperatures and sea level rise of up to 30cm, with severe consequences for agriculture, ecosystems, and extreme weather events. The study also highlights the impact of human activity on the climate, fuelling global warming.
A new weather model, ARW, uses high-resolution data to predict hurricane intensity and location of fine-scale rain bands. This enables better warning systems for floods, power outages, and road blockage.
The newly completed field tests show that the new approach in coupling models can be successful, producing similar temperature and wind outputs globally. The ESMF enables sharing and comparison of alternative scientific approaches from multiple sources, making it easier to develop realistic representations of the Earth as a system.
A NASA study found that conversion of wetlands to agricultural lands can lead to more severe freezes in south Florida. The researchers analyzed data from the Landsat 5 satellite and weather records to simulate three freeze events, concluding that land-use changes can enhance damage inflicted upon agriculture.
The University Corporation for Atmospheric Research has purchased a large-scale Linux-based computing system, adding significant computing capacity to NCAR's arsenal. The system will enable the evaluation of major community climate and weather codes in a full-scale Linux environment.
New NASA technology enhances NOAA's weather forecasts by integrating satellite data and lightning tracking, leading to more confident seven-day severe local storm forecasts. This improved prediction capability can also enhance tornado warning lead times and better predict thunderstorm occurrence.
The US Pentagon is using cutting-edge sensors and software tests to protect against airborne hazards, including chemical and biological attacks. The system includes a multiscale weather forecast model, lidars, and other sensors to monitor air flow and turbulence around the building.
Corn earworm moths travel at varying heights influenced by air currents, affecting their migration patterns. By analyzing wind patterns and weather forecasts, researchers aim to forecast the arrival of these pests and develop targeted insecticide strategies to reduce damage.
The USWRP's improvements to the global computer forecast model developed at NOAA's Environmental Modeling Center have led to a significant boost in hurricane track forecast accuracy. Since 2000, NHC forecasts have benefited from these advancements, predicting Atlantic tropical cyclones' tracks about 35% more accurately than prior to 2000.
The National Center for Atmospheric Research/University Corporation for Atmospheric Research has been awarded $11.25 million to develop new weather forecasting tools, including the LEAD project. The tool will enable researchers to access state-of-the-art weather prediction models on demand and collaborate with colleagues in real-time.
The AMPS system uses a tailored computer model, Polar MM5, to provide detailed forecasts for the extreme polar environment. Meteorologists have successfully used AMPS in emergency rescues from Antarctica since 2001, including a recent medical evacuation and ship rescue.
The DOWs will deploy at or near the coast in the direct path of the storm, collecting high-resolution data and rapid-scan Doppler radar data from inside the eye. The Rapid-DOW can visualize three-dimensional volumes in 5 to 10 seconds, observing boundary layer rolls, wind gusts, and other phenomena as they evolve.
Researchers are using mobile radar to track wind patterns in Montana wildfires, enabling more accurate predictions of fire behavior and helping firefighters fight fires more efficiently. This technology has the potential to transform wildland fire monitoring and improve public safety.
A study by OSU researchers found that their weather forecasting tool, AMPS, outperformed competing models in predicting extreme weather conditions at the South Pole. This achievement has implications for extending the limited summer research season and improving polar forecasting skills.
A new computer model has identified a significant link between high-latitude climate phenomena and tropical regions, warming ocean temperatures by up to 1 degree Celsius. The discovery reveals a hidden climate mechanism that significantly influences global and regional climate change.
A team led by Zhang aims to improve daily weather forecasts by integrating vast amounts of observational data. Ensemble-based data assimilation focuses on incorporating uncertainties surrounding previous forecasts and current observations, using statistics to estimate initial conditions.
Scientists have improved weather and climate forecast models by using new Terra data to measure albedo, revealing regional variability in the Sahara Desert and Arabian Peninsula. This correlation will help fine-tune weather and climate models, enabling more accurate predictions.
The Antarctic Mesoscale Prediction System (AMPS) successfully predicted a brief window of favorable weather, allowing helicopters to bring the last passengers aboard. The forecasting support helped guide the ice-strengthened ship SA Agulhas to retrieve the stranded vessel and crew from near Antarctica.
NASA is investing $22.8 million in 11 research teams to develop software infrastructure for climate and space science modeling. The partnerships aim to create a framework that enables seamless sharing, reuse, and comparison of scientific approaches from multiple sources.
The National Center for Atmospheric Research (NCAR) has won a $3.8 million NASA grant to develop the core software for an Earth System Modeling Framework. The framework will enable models to work together, assimilate observational data, and produce more realistic simulations of weather and climate.
Researchers at the University of Illinois found a statistical correlation between weak polar vortices and severe cold outbreaks. The study proposes a dynamical mechanism where stratospheric forcing stimulates pre-existing modes of variability in the troposphere.
Researchers at Penn State aim to improve flood prediction by evaluating past storms with different forecasting methods. They found that convective parameterization schemes can help forecast rainfall, but the best scheme varies depending on the season and atmospheric conditions.
A study by NASA researchers found that the eastern U.S. has cooled by 0.1° Celsius per decade, contrasting with global warming. The researchers attribute this cooling to increased cloud cover caused by warmer ocean temperatures in the Pacific.
The Harvard Ocean Prediction System (HOPS) is a modular system that provides forecasts of ocean weather and information about ocean life. HOPS has been used to predict the location of crash debris from EgyptAir Flight 990 and identify promising waters for commercial fishing.
A University of Florida professor's research indicates that complex computer models may underestimate pollution levels by up to 30% due to the effects of tiny particles on smog-forming gases. The study, set to appear in a leading international journal, suggests improvements are needed to air quality models.
Scientists at Johns Hopkins University have created a model that suggests a thin jet of relatively cold molten iron is streaming down across the liquid outer core from an area in the mid-Pacific to Earth's solid iron inner core. This 'cold front' could account for irregularities in the magnetic patterns observed over the Pacific.
Researchers developed a system that enables users to interact with a computer-controlled map using natural speech and hand gestures. The system recognizes spoken words and gestures, allowing users to locate buildings and parking lots on the Penn State campus.
A University of Illinois professor's study reveals that crew members' communication timing greatly affects performance during emergencies. High-performing crews were found to be targeted and specific with their exchanges, while low-performing crews had a disconnect between training and actual conditions.
New research suggests that the Southeastern US experienced a warm and wet climate during the Middle Holocene Period, contrary to previous theories. Fossil pollen data and paleochannels indicate intensified flooding and increased wetland plants, while a lack of windblown sand supports this finding.
Orrin Pilkey, a Duke University geologist, argues that engineering models used to predict natural processes, such as beach erosion, are flawed and damaging to society. He proposes that beach erosion is linked to rising sea levels and that some coastal engineering measures can exacerbate erosion.
A team of researchers has deployed an Atmospheric Radiation and Cloud Station (ARCS) on the Pacific island of Nauru to study clouds and sunlight. The station will gather information for at least 10 years, providing insights into global warming effects and El Niño/La Niña weather phenomena.
The CloudSat spacecraft will produce detailed three-dimensional images of vertical cloud structures, missing from current weather forecasting models. Colorado State technology also contributes to a second NASA mission studying aerosols and thin clouds, enhancing climate change understanding.
A portfolio optimization model (POM) developed in 1989 helps Chicago's Peoples Energy utilities balance costs by reserving natural gas supply, transportation, and storage. The model generates significant annual cost savings of $50 million since 1995, improving efficiency and decision-making.
A recent study suggests that El Nino events can be predicted several months in advance, with seasonal averages in the tropics being the most predictable. The research identifies sea surface temperature, soil wetness, vegetation, and snow cover as key factors influencing weather patterns.
A new study by Armin Bunde and colleagues found that temperature correlations persist worldwide, with a universal exponent gamma of -0.65, holding for at least a decade and potentially centuries.
Researchers created a mathematical model that builds on current FAA ground-holding policies, aiming to reduce cost and improve efficiency in air traffic management. The model has been partially implemented in Europe and shows a potential improvement of up to 30 percent in reducing congestion.
A Colorado State University study found that irrigated agricultural crops and landscaping can produce local cooling, potentially exceeding global warming predictions. This leads to cooler temperatures, increased moisture, and altered tree distribution patterns in Rocky Mountain National Park.
Scientists have discovered giant convection cells on the sun, which could play a major role in its rotation and solar activity. These cells are large enough to swallow Jupiter and last for long periods, influencing space weather.
Researchers have developed computer crop models to predict crop yields and prices, helping farmers make informed decisions before an El Niño event. The models combine weather and soil information with virtual farming decisions, allowing for tailored growing strategies that reduce risks and uncertainties.
A new coupled hydrologic model system simulates storm events and river basin response by linking atmospheric and hydrological models. The model was tested on the West Branch of the Susquehanna River basin, showing improved results with historic meteorological data compared to atmospheric predictions.
A computer model developed by Penn State researchers can predict the probability of land use change and microclimate formation in urban areas. The model uses satellite image data to calculate land use types, vegetation, and surface climate parameters, providing insights into urban growth and its impact on local liveability.
Researchers at Penn State used global and regional climate models to investigate climate change differences. They found that regional models produced warmer temperatures, leading to more rain and less snowfall in the Northeastern United States.
Researchers successfully controlled El Nino's behavior in a complex prediction model by altering values for deep ocean waves. This achievement may help improve El Nino event predictions, leading to measures that reduce global damage.
Researchers have developed a new model that accurately predicts Dungeness crab population fluctuations, combining internal and external factors. The study provides a rare instance where a modeled understanding agrees with field data, offering insights into the elusiveness of population predictability.
The International Research Institute (IRI) will distribute climate predictions several months in advance to a global network of agencies and policymakers. The institute combines the scientists and resources of two leading climate research centers, aiming to improve longer-range predictions and mitigate extreme weather.