Sentences with phrase «forecast model 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.

Not exact matches

«Our model, ALERT (Acquisition Likelihood Estimate Ranking Tool), combines stock characteristics, cohort membership, and data regarding offers to forecast probabilities that stocks receive tender offers in the coming 12 months,» said Brian Hayes, the global head of quantitative research, in a note on Tuesday.

This data allowed Richardson to model a mathematical weather forecast.

We can not use consensus values for our margin forecasts because our margin calculations take into account a great deal more data than is used in most analysts» models.

The seventh annual edition of the Index covers 1970 - 2040 and incorporates the latest historical data and forecast models.

These projections — available through 2008 at the Philadelphia Fed's Real Time Data Center — have generally been more accurate than forecasts from simple statistical models.

Our model indicates that going forward, long - term yields will likely be subject to three upward pressures: (1) Our forecasted increase in inflation will boost nominal GDP growth; (2) As forward guidance is replaced by a data - dependent monetary tightening, volatility in short rates will increase; and (3) As the impact of QE on the Treasury market fades, long - term yields will trend back to their historical link with nominal GDP growth.

Data Science Leveraging data science and predictive analytics expertise, we built 20 custom data models that could be used to forecast voter behavData Science Leveraging data science and predictive analytics expertise, we built 20 custom data models that could be used to forecast voter behavdata science and predictive analytics expertise, we built 20 custom data models that could be used to forecast voter behavdata models that could be used to forecast voter behavior.

«By applying data science into price elasticity modeling and promotions forecasting, restaurants are able to uncover more efficiencies and achieve greater savings.»

Nigel Marriott in his final model now includes a forecast for party vote shares as well as the previous seat forecasts and so this is included; we have also added new models from Election Data, Elections Etc, Janta - Lipinski, Kantar Public, Michael Thrasher, Andreas Murr et al and Number Cruncher Politics.

The forecasting model works by combining the number of seats won by parties in the previous election with vote intentions data from polls conducted six months prior to the election — in this case the data is from November 2014.

But when researchers ran the same model with the usual data from the US forecasting programme, it came up short.

«When used in conjunction with forecasted data, the model predictions could be useful for focusing both surveillance efforts, and the pre-positioning of material and equipment in areas and periods of particularly high risk.

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

The team used real - time seasonal rainfall, temperature and El Niño forecasts, issued at the start of the year, combined with data from active surveillance studies, in a probabilistic model of dengue epidemics to produce robust dengue risk estimates for the entire year.

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.

CHALLENGES: Scientists have more data and better models, but the best forecasts still rely on getting that info to the public in a way that compels action.

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.

In addition, both studies have yielded valuable data that can be integrated into ecosystem models — which are in turn essential to forecasts of how the retreat of sea ice will affect the Arctic ecosystem.

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

The UI study showed that adding thermometer data, which captures clinically relevant symptoms (temperature) likely even before a person goes to the doctor, to simple forecasting models, improved predictions of flu activity.

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

The freely - accessible database of storm surge data has been compiled through the multi-partner, international eSurge project, which was launched in 2011 with the aim of making available observational data to improve the modelling and forecasting of storm surges around the world using advanced techniques and instruments.

In April 2011, five days before a powerful storm system tore through six southern states, NOAA's current polar - orbiting satellites provided data that, when fed into models, prompted the NOAA Storm Prediction Center to forecast «a potentially historic tornado outbreak.»

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.

By testing their model against historical data, they found their production forecasts were more accurate than those of both peak oilers, who are traditionally too pessimistic, and authorities such as the US Energy Information Administration, which is generally far too optimistic.

«Using simple forecasting models, we showed that thermometer data could be effectively used to predict influenza levels up to two to three weeks into the future.

«Scientists use Instagram data to forecast top models at New York Fashion Week: Method is 80 percent accurate in identifying most popular models for the following season.»

Hurricanes are powered by energy pulled out of warm seawater, so sea surface temperature data collected by satellites is fed into forecast models to estimate their intensity.

Although the data suggest that spatial models can effectively forecast tree community composition and structure of unstudied sites in Amazonia, incorporating environmental data may yield substantial improvements.

The researchers» forecasts are based on the AWI's BRIOS (Bremerhaven Regional Ice - Ocean Simulations) model, a coupled ice - ocean model that the team forced with atmospheric data from the SRES - A1B climate scenario, created at Britain's Met Office Hadley Centre in Exeter.

To check their model forecast, as the dry season has gotten underway, the researchers have compared their initial forecast with observations coming in from NASA's precipitation satellite missions» multisatellite datasets, as well as groundwater data from the joint NASA / German Aerospace Center Gravity Recovery and Climate Experiment (GRACE) mission.

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

But for a forecast model to work, he says, «We have to resolve the boundary conditions ---- data on tides and winds — very far away, out into the open ocean.

International institutions such as CGIAR have developed computer models that use data on climate, crop types, and other factors to estimate current food production and forecast future trends.

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

Using climate models and tree physiological data, researchers forecast a near - complete annihilation of evergreens in the southwest by the year 2100.

They used the results to refine the model so that its forecasts corresponded more closely with the recorded data.

Because this number of vehicles exceeds the present rush hour figure and the software can run the simulation five times faster than real life, researchers believe that given real roadside data, the model will produce accurate forecasts.

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.

Buoys: Buoys provide us with time series data at specific locations that aid in both atmospheric and oceanic forecasting and modeling

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)

The study used more than 40 scientific publications and Australian Institute of Marine Science monitoring data from 18 Australian reefs to build and validate a model to forecast the reef's future under different conditions.

Figure 3b uses available climate data to reconstruct historical nesting and available and modeled climate data to forecast future trends.

The ARM Aerosol Measurement Science Group (AMSG) coordinates ARM Climate Research Facility observations of aerosols and atmospheric trace gases with user needs to ensure advanced, well - characterized observational measurements and data products — at the spatial and temporal scales necessary — for improving climate science and model forecasts.

February 22, 2017 IEPR Commissioner Workshop on Data Inputs and Assumptions for IEPR Modeling and Forecasting Activities

Get immediate feedback on your predictive data modeling, leading to powerful budgeting and forecasting capabilities.

Then, based on the historical data and past trends, scientists build a bottom - up forecasting model.

All of WardsAuto's reliable, in - depth industry reporting and analysis Hundreds of downloadable data tables including: • Global sales and production data by country • U.S. model - line inventory data • Engine and equipment installation rates • WardsAuto's North America Plant by Platform forecast • Product Cycle chart • Interrelationships among major OEMs • Medium - and heavy - duty truck volumes • Historical data and much more!