Articles tagged with Weather Simulations
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.
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.
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.
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.
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.