Articles tagged with Weather Forecasting
Researchers are working on operational global forecasts of air pollution, which could aid in improving air quality and addressing climate change. NASA satellites are providing crucial data to support these efforts, helping to evaluate the effectiveness of environmental regulations.
A study led by Purdue University predicts a significant increase in severe storms in the US, with areas like Atlanta and New York seeing more than double the chances of severe thunderstorms by the end of the century. The research used climate models to examine favorable conditions for storm formation.
Researchers can now investigate the relationship between eyewall lightning outbreaks and hurricane strength using highly-sensitive sensors thousands of miles from the storm. The study, supported by NASA and the U.S. Office of Naval Research, uses data from a network of new sensors to improve hurricane forecasts and potentially save lives.
CU-Boulder has signed a $92 million contract with NOAA and NASA to develop a satellite instrument package that will forecast solar disturbances affecting communication and navigation operations in the US. The instrument package, known as EXIS, will consist of X-ray and extreme UV sensors to monitor solar flares and sunlight variation.
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.
BLUElink provides broad-scale information on ocean currents, temperature, and salinity for the first time, improving forecasting capabilities. The system relies on access to accurate oceanic observations, including satellite data and robotic profilers.
Lonnie Thompson, a renowned glaciologist, will receive the National Medal of Science for his groundbreaking research on global climate change. His team has provided irrefutable evidence that the last half-century was the warmest period in recorded history.
A new technique called VORTRAC will provide a detailed 3D view of hurricane winds every six minutes, allowing forecasters to determine the storm's strength as it approaches land. This will enable rapid alerts for coastal communities if the hurricane suddenly intensifies or weakens.
A new high-resolution computer model has been developed to better understand how air-sea interactions affect hurricane intensity. The model uses detailed data from the Coupled Boundary Layer Air-Sea Transfer (CBLAST) field program, which provided unprecedented information about ocean and sea surface conditions near hurricanes.
Scientists forecast a moderately strong or weak solar storm cycle starting in March 2008 and peaking in October 2011 or August 2012. The panel's predictions are evenly split on the intensity of the cycle, with some expecting a record-breaker.
A team of international scientists, including Case Western Reserve University's Matthew Sobel, has proposed eight ways to improve biodiversity forecasting in the face of global warming. The researchers aim to provide more accurate predictions and reduce misinformation that can divert resources away from other areas. By acknowledging th...
Researchers have discovered that rapid hurricane intensity changes can be attributed to clouds outside the eye forming a new eyewall. This finding has significant implications for hurricane forecasting, as it may enable forecasters to predict when a storm will change intensity and how strong it will become.
A team of climate scientists will measure the influence of Greenland's atmosphere on Northern European weather, aiming to improve forecast accuracy. The research will also fill gaps in existing climate change models, enhancing long-term predictions.
Researchers are developing new hydrologic forecasting models that use satellite data and atmospheric climate forecasts to predict stream flows. These models aim to provide computerized water forecasts equivalent to modern weather-prediction models, allowing for more accurate and timely decisions on water resource management.
The COSMIC satellite system provides unprecedented information on the atmosphere's temperature and water vapor structure, enabling more accurate long-range weather forecasts and climate change analysis. The system's unique global coverage and ability to gather data above hard-to-reach locations enhance global-scale monitoring.
A national climate service could help with forecasts of climate fluctuations, providing months of advance warnings for water and power managers, private industries, and those charged with human safety. The service would also project scenarios of climate change for specific regions up to a hundred years out.
A new software system called SPRUCE provides computational resources quickly for emergency applications affecting public health, safety, and security. The system supports urgent computing on both traditional supercomputers and distributed Grids, enabling rapid access to massive resources during emergencies.
The University of Houston's Moody Tower Atmospheric Chemistry Facility conducts round-the-clock monitoring for the Texas Air Quality Study-II. Researchers collect data on various pollutants, including ozone-forming compounds, and develop a Gulf Coast Air Quality Model to improve air quality predictions.
Katrina's rapid development was aided by favorable atmospheric conditions and warm ocean temperatures. Satellite data from NASA instruments provided crucial information on the storm's cloud motion, rainfall intensity, and wind speeds.
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.
The Institute for Multi-dimensional Air Quality Studies has developed an ozone forecaster to increase public awareness and help Texas manage air quality. The system provides detailed forecasts, including hourly data from air pollution monitors, to assist individuals with respiratory problems.
A new radar technique is being tested to track water vapor in the lower atmosphere, helping forecasters predict storm locations and timing. The REFRACTT project uses multiple Doppler weather radars to measure changes in radar signals caused by refraction, revealing the presence or absence of atmospheric moisture.
Scientists at NASA's Marshall Space Flight Center highlight the dangers of lightning during National Lightning Safety Awareness Week. The study reveals that over 8 million cloud-to-ground lighting strikes occur daily worldwide, with an average of 67 deaths annually in the US.
Researchers combined NASA's QuikSCAT satellite data with aircraft sensor data from tropical storms, improving the accuracy of hurricane forecasts. The new generation WRF computer model was able to reproduce the structure of rainfalls that caused flooding during landfall, providing valuable insights into tropical cyclones.
The US Office of Naval Research supports the joint US-Taiwan COSMIC satellite project, which will track hurricanes, monitor climate change, and accelerate space weather research. The constellation will provide real-time atmospheric data daily.
The COSMIC satellite network measures atmospheric data daily in real time over thousands of points on Earth using GPS signals. Temperature and water vapor profiles will help meteorologists forecast storms and study long-term climate change trends.
The US has launched a constellation of six low-orbiting satellites called COSMIC to provide real-time atmospheric data over thousands of points on Earth. The system will measure the bending of radio signals from GPS to track hurricanes, typhoons and climate change.
The HYbrid Coordinate Ocean Model (HYCOM) provides long-range weather prediction, enhances ocean current understanding, and supports real-time maritime operations. This innovative tool enables accurate forecasts and tracking of pollution, algal blooms, and oil spills.
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.
A new malaria forecasting tool developed by scientists at the University of Liverpool can predict epidemics of malaria up to five months in advance, using climate variability. The model will assist doctors and health care providers in preventing and controlling the disease.
Researchers developed an early-warning system that uses population vulnerability, rainfall, and health surveillance to predict changes in seasonal disease patterns. The system provides health service managers with warnings of changes in epidemic risk five months before the peak malaria season.
Researchers used NASA's TRMM satellite data to analyze temperature changes inside hurricanes, providing clues about storm transformations. The study sheds light on the stages of extra-tropical storms and helps forecasters better understand hurricane development.
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.
The Virtual California model forecasts almost 400 major earthquakes over 40,000 years, with a 25% chance in the next 20 years. The simulation indicates higher probabilities for future quakes by 2086.
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.
An e-Science project has adapted SARIS software to access near real-time Met Office forecasts of ocean currents and winds, providing more accurate data for rescue predictions. This adaptation aims to reduce the time to rescue and potentially save lives.
The University of Wisconsin-Madison's Tropical Cyclones group is using its specialized tools to help forecasters track Hurricane Ophelia. The tools provide critical information on the storm's trajectory and intensity, enabling more accurate forecasts and helping to save lives.
The Linked Environments Atmospheric Discovery project aims to create a high-speed computing infrastructure for timely and accurate weather forecasts. The system will pool data from various sources, including ground sensors, satellites, and radars, to launch hundreds of simulations at the same time, resulting in more accurate predictions.
The study found that farmers who participated in workshops made better decisions in response to good information, resulting in improved crop yields. The researchers also found that the workshops increased the use of forecast information among farmers, particularly those in subsistence farming.
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.
Scientists at NASA have developed a way to process radar data from the Tropical Rainfall Measuring Mission (TRMM) satellite, providing 3D snapshots of hurricanes. This allows forecasters to access information on heavy rainfall rates and cloud heights within three hours, helping them make more accurate forecasts.
The new Web-based modules, developed by COMET, will acquaint forecasters with the physics behind rip currents and help them use wind and wave forecasts to produce outlooks of rip-current risk. The modules include animated depictions of rip-current evolution in three dimensions.
The WVSS II sensors gather data more often, at higher vertical resolution, and at lower cost than satellites and balloons. This improves forecasts of thunderstorms, microbursts, turbulence, fog, ceiling visibility, rotating wakes from other aircraft, snow and ice storms, and year-round precipitation.
Researchers discovered that the onset of spring is more rapid than previously thought and linked to a phenomenon known as the stratospheric final warming. This event accelerates the weakening of tropospheric winds, allowing for more accurate weather prediction models.
Researchers found a significant increase in tornado warnings after WSR-88D radar installation, with almost doubled warnings and increased lead time. The study also revealed expected fatalities and injuries were 45% lower for tornadoes occurring after radar installation.
NASA has postponed a scheduled satellite launch at Vandenberg Air Force Base in California. The launch, originally set for May 12, will now take place pending favorable weather conditions. NASA TV coverage is available online and via satellite.
The NOAA-N satellite will collect data on Earth's surface and atmosphere for weather forecasts, climate predictions, and search and rescue operations. With advanced imaging and sounding capabilities, the satellite aims to improve understanding of environmental changes worldwide.
Researchers have developed a new model that accurately forecasts US hurricane activity, enabling skilful seasonal predictions to benefit individuals and decision-makers. The model uses height-averaged winds as a predictor, exhibiting significant linkages to US landfalling hurricanes.
A Purdue University study found that many tornadoes form from 'line-shaped' storms associated with large weather fronts, particularly in the Midwest. These tornadoes are more likely to occur late at night and in colder months, challenging traditional notions of severe weather patterns.
El Nino forecasting can aid in managing high-yield fisheries with boom-and-bust cycles, controlling tropical diseases like mosquito-caused malaria, and protecting marine mammals and other ocean species. By predicting ENSO events nine months in advance, scientists can deploy resources effectively.
Researchers used a simple climate model to demonstrate that changes in the strength of winds in the stratosphere can cause changes in tropospheric weather systems. This understanding is crucial for improving seasonal weather forecasts and predicting the effects of ozone depletion and global warming on our climate.
A field study by NCAR and NOAA has provided new insights into bow echoes, revealing that smaller storms can be more destructive than larger ones. The BAMEX experiment used aircraft, ground-based storm chasers, and advanced radar technology to collect detailed data on thunderstorms in the Midwest.
The American Institute of Biological Sciences (AIBS) has been tapped to coordinate the design of a national network dedicated to ecological observations, known as NEON. The project aims to improve scientific understanding of various research areas, including climate change and biodiversity.
A new theory explains how drizzle forms within typical cloud lifetimes, providing insights into local weather and global climate. The research suggests that a statistical barrier speeds up drizzle formation, allowing fewer large drops to dominate the process.
The Soil Moisture Experiment 2004 aims to understand how much moisture is retained in soils, helping estimate potential flooding or water absorption. By analyzing data from satellites, airplanes, and ground teams, researchers can provide better forecasts for monsoon rainfall and water supply.
A six-week field experiment will gather data on regional air quality, intercontinental transport of polluted air masses, and human health effects. The study, ICARTT, involves five countries, universities, and government agencies.
Researchers use the North Alabama Lightning Mapping Array to monitor storm weakening and strengthening, improving severe weather detection. NASA's satellite technology provides near real-time data on severe weather and lightning strikes worldwide, aiming to reduce false alarms and improve forecasting accuracy.
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.