Sentences with phrase «weather model data»

Not exact matches

QNX, which made more than 60 % of the core software inside the world's car infotainment systems in 2011, has partnered with The Weather Network to send location - based weather data to drivers, and the intelligent dashboard system in many of Nissan's 2013 models, for instance, will feed drivers real - time local fuel prices, flight - status information, and points of interest supplied by Google.

The new software targets data - intensive applications requiring high - speed access to massive volumes of information generated by countless devices, sensors, business processes, and social networks; examples include seismic data processing, risk management and financial analysis, weather modeling, and scientific research.

This data allowed Richardson to model a mathematical weather forecast.

Benjamin «Benjy» Firester, 18, of New York City, won the top award of $ 250,000 for developing a mathematical model that uses disease data to predict how weather patterns could spread spores of late blight fungus, which caused the Irish Potato Famine.

They've created an empirical model fed by careful analysis of 37 years of historical weather data.

Working has greatly slowed down my progress as well: I'm currently working for the National Oceanic and Atmospheric Administration as part of a team trying to predict snowfall rates from satellite and weather forecast model data.

Pacella, who was lead author on the study, used the detailed data he collected to create a model to estimate the daily carbonate chemistry weather during the summer dry season back to the year 1765, and also projected conditions ahead to 2100 altering the amount of anthropogenic carbon in the system.

The model includes weather data to simulate the fallout plume.

The military uses the microwave information to detect ocean wind speeds to feed into weather models, among other uses, but the data happen to be nearly perfect for sensing sea ice, says Walt Meier, a sea - ice specialist with the NSIDC.

To see whether this increase in crops has influenced the region's unusual weather, researchers at the Massachusetts Institute of Technology in Cambridge used computers to model five different 30 - year climate simulations, based on data from 1982 to 2011.

Doug Smith at the UK Met Office fed key data such as ocean temperatures, air pressure and wind speeds for every year from 1960 to 1995 into DePreSys, a model already used to predict weather a decade ahead.

A new system can provide up to eight - hour forecasts that are updated hourly based on satellite data and weather models

One day, oceanographers hope Spray and other gliders will be able to roam the oceans at will, providing an almost limitless supply of data that could be used to build more sophisticated climate models and develop better weather forecasts.

Using weather and sea data from the time of the sinking, along with a new theoretical model, a Georgia Institute of Technology researcher has calculated that there was as much as a one - in - 130 chance — over a period of time and area — that a rogue wave 46 feet high (14 meters) could have occurred during the hurricane.

The method combines a model for systems such as weather or climate with real - world data points to develop predictions about the future.

NOAA was also directed to enter into at least one pilot contract to «assess the potential viability of commercial weather data in its weather modeling and forecasting.»

«We are actually the first ones to use data assimilation models in studying mantle deformation, in an approach similar to weather forecasting,» Liu said.

Plugging such weather data into a regional climate model revealed that the impacts were likely due to the increased mixing of the near - surface and higher - atmosphere air thanks to the wind turbines.

Scientists looked at modeled predictions of climate change and reproductive data from lesser prairie - chickens from 2001 - 2011 to determine how weather conditions affect reproductive success in the Southern High Plains.

Their data will be used in computer models to improve weather forecasts, including hurricane tracks and intensities, severe thunderstorms and floods.

The data provides an invaluable record for understanding radiation - belt variability that is key to developing effective space - weather forecasting models.

EWeLiNE combines these data with other atmospheric observations — from ground - based weather stations, radar and satellites — and sophisticated computer models predict power generation over the next 48 hours or so.

The specific goal of releasing space - weather data from national - security assets such as GPS satellites is to enable broad scientific community engagement in enhancing space - weather model validation and improvements in space - weather forecasting and situational awareness.

Many recent events - discoveries from sediment cores in New York, drought in Australia and the western United States, data from increasingly sophisticated computer models - lead to a conclusion that the weather driving many of the globe's great breadbaskets will become hotter, drier and more unpredictable.

She has also led the agency's work to prepare for a probable gap in data from the series of polar - orbiting satellites that feed observations to NOAA's computer weather models.

In order to demonstrate these links, PhD student Sil Lanckriet (Department of Geography, Ghent University) analyzed weather data since the 1950s, as delivered from a meteorological computer model.

«As we build up a big archive — warm years, cold years, wet years and dry years — we can use the data to develop models of how weather and phenology are related,» he says.

«Massive data analysis shows what drives the spread of flu in the US: Models built with data from health claims, weather, geography and Twitter predict how the flu spreads from the south and southeastern coast.»

To help refine their models, many researchers look to data from weather satellites collected since the 1980s.

This may be observed in many natural phenomena: weather, cardiac rhythm, models for population growth, economic data, some chemical reactions, or the voice of humans and animals.

European satellites might be an option — if they are available and produce data in a format compatible with U.S. weather - forecasting models.

The scientific team used field disease surveys from the International Maize and Wheat Improvement Centre and weather data from the UK Met Office as key input for the modelling framework.

RAMS — short for Regional Atmospheric Modeling System — was developed by the Poquoson office of Weatherflow Inc., a private - sector provider of weather data.

The military satellites can probably survive well beyond 2012, although they do not provide all the data NOAA needs for its weather - forecasting models.

To project that trend forward, the team then used models recently developed to analyze Antarctic ice sheet collapse, plus large global data sets to tailor specific Atlantic tropical cyclone data and create «synthetic» storms to simulate future weather patterns.

Researchers at Harvard University, the University of Utah and the National Center for Atmospheric Research say they were able to accurately measure carbon dioxide emitted in Salt Lake City using ground stations, weather and land - use data, and a computer model.

In the past several years, researchers have used AI systems to help them to rank climate models, spot cyclones and other extreme weather events — in both real and modelled climate data — and identify new climate patterns.

This approach is a natural fit for climate science: a single run of a high - resolution climate model can produce a petabyte of data, and the archive of climate data maintained by the UK Met Office, the national weather service, now holds about 45 petabytes of information — and adds 0.085 petabytes a day.

«Our results show that the uncertainty estimates of greenhouse gas inventories depend on the calculation method and on how the input data for the model, such as weather and litterfall data, have been averaged,» says Aleksi Lehtonen, researcher at the Natural Resources Institute Finland (Luke).

Based on a computer model that used the air - sampling data and weather patterns, IRSN concluded in early October 2017 that the ruthenium most likely originated in the southern Urals; its German counterpart agreed.

The scientists examined four different versions of the model outputs, each one translated for the region with data from weather stations in the Northwest through a process called «downscaling.»

The study drew data from weather records from airports, used to model when the ground was frozen; Department of Natural Resources records on harvest levels for various tree species; and interviews with forest managers and loggers.

Scientists are involved in the evaluation of global - scale climate models, regional studies of the coupled atmosphere / ocean / ice systems, regional severe weather detection and prediction, measuring the local and global impact of the aerosols and pollutants, detecting lightning from space and the general development of remotely - sensed data bases.

On the basis of magnetic data collected in real time and a chain of suitable numerical models it will eventually prove possible, rather as in conventional meteorology, to forecast space weather and prevent the impact of solar storms on Earth.

Benjy Firester, 18, of New York City, won the top award of $ 250,000 for his development of a mathematical model which predicts how disease data and weather patterns could spread spores of the «late blight» fungus that caused the Irish Potato Famine and still causes billions of dollars in crop damages annually.

My main problem with that study is that the weather models don't use any forcings at all — no changes in ozone, CO2, volcanos, aerosols, solar etc. — and so while some of the effects of the forcings might be captured (since the weather models assimilate satellite data etc.), there is no reason to think that they get all of the signal — particularly for near surface effects (tropospheric ozone for instance).

The project may involve the following topics: — Interaction of the solar wind with magnetised and unmagnetised planets — Space weather forecasts — Numerical (HPC) and analytical modelling of MHD wave processes and jets in solar and astrophysical plasma — MHD wave observations and solar magneto - seismology — Application of advanced data analysis to solar system science — Physics of collisionless shocks (including planetary and interplanetary shocks)-- Analysis of multi-point measurements made by space missions, e.g Cluster (ESA), THEMIS (NASA), MMS (NASA)

This involves a combination of satellite observations (when different satellites captured temperatures in both morning and evening), the use of climate models to estimate how temperatures change in the atmosphere over the course of the day, and using reanalysis data that incorporates readings from surface observations, weather balloons and other instruments.

He uses numerical models and large data sets to study financial risks related to climate change impacts and extreme weather events.

They used a combination of field observations and data from local weather stations to test a model of glacier change over the past 50 years.