Sentences with phrase «forecast model developed»

TIME magazine's article about global weirding (rather than global warming) cites the forecast model developed at Atmospheric and Environmental Research by Judah Cohen.

A forecast model developed by AER scientist Judah Cohen has consistently achieved on - target forecasts for most major cities in the industrialized countries.

To this end, a new paper authored by a team led by Leon Hermanson has just appeared on - line in the journal Geophysical Research Letters that describes a decadal forecasting model developed by the U.K. Met Office and called, rather unimaginatively, the Decadal Prediction System (DePreSys).

Not exact matches

«We are getting closer to forecasting eruptions at volcanoes that have been quiet for generations by using detailed physical models to understand how the preceding unrest develops.»

One area of rapid growth — and a good illustration of the current trends — is the increased focus on developing geographically precise climate models that can forecast conditions one to several years out.

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.

But it is possible to slow the pace of urban sprawl by harnessing the full development potential of central areas, according to forecasts by Guillaume Marois, a recent Ph.D. from INRS who has developed a spatial microsimulation model called Local Demographic Simulations (LDS).

Working with the University of New South Wales, scientists have developed a computer model which uses past wave observations and beach assessments to forecast the erosion and / or accretion of beach sediments over the coming year.

«The space - time model developed for this study could provide the basis for the next generation of wave forecast models to predict wave extremes and provide early warnings to shipping companies and others to help them avoid dangerous areas at risk of rogue waves,» Fedele said.

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

The developed drought - fire models in this study can help to developing a seasonal forecast system for these management strategies.

The fire severity forecast model, developed by Yang Chen and Jim Randerson at the University of California, Irvine, along with NASA scientists, was first published in 2011 in the journal Science.

Knowing the timing and duration of an eruption, the altitude and amount of the volcanic emissions are critical for an accurate volcanic forecast model being developed at the Goddard Modeling and Assimilation Office.

In the EWeLiNE project, Fraunhofer and the German Weather Service have been working to develop better models for forecasting the generation of renewable electricity.

The authors developed a mathematical model accounting for disease progression, mortality, morbidity and the heterosexual transmission of HIV to help forecast future trends in the disease.

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 partners develop mathematical models that produce improved forecasts accurate for each quarter - hour, which show how much electricity Germany's installed photovoltaic and wind - farm facilities will generate over the next few hours and days.

«Modelling has been used to help develop forecasting systems to predict flood risk around the shallower southern regions of the North Sea, where the coastal margin is low - lying and population density is high.

«The model we developed in this study is a very good start to helping people forecast the chances they will experience a headache attack, but work is needed to make the prediction models more accurate before they will be of widespread clinical use,» said Dr. Houle.

A statistical forecasting model was developed to estimate the risk of dengue outbreak in this period to provide an early warning that allows sufficient time for response.

The hypoxia forecast is based on models developed by NOAA - sponsored researchers at the University of Michigan and the University of Maryland's Center for Environmental Science.

Weisberg, along with study co-authors John Walsh, Distinguished University Professor of Biological Oceanography, and their research associates and colleagues at USF and at neighboring Florida Water Research Institute, have developed tools for observing, tracking and forecasting red tides using a combination of moored instrumentation, robotic gliders, satellite imagery and computer models.

This will be useful for calculating models for weather forecasts or developing new medicine.

The passenger rail component of the model will allow IADOT to forecast passenger rail ridership along potential corridors, which is essential in prioritizing rail corridor projects and to Iowa's vision of developing a passenger rail network.

But, I want to know the model number and price of the Kindle device, which model will be the best for developing the weather forecasting project.

All expected return forecasts are forward - looking statements based upon quantitative models developed by Research Affiliates LLC and is not a guarantee of future performance.

Jeff investigated anomalies in the standard option pricing models, taught classes for beginning options traders, and developed new forecasting techniques.

Develop models and probabilistic forecasting tools to quantify uncertainties in the atmospheric drivers, surface characteristics, and soil properties that control the timing and extent of permafrost thaw in the next few decades and centuries.

He provides support to clients and develops models to assess and forecast solar radiation.

A new assimilation system (CERA) has been developed to simultaneously ingest atmospheric and ocean observations in the coupled Earth system model used for ECMWF's ensemble forecasts.

People seem to like to argue about fairly unimportant minor points, when in fact until someone can demonstrate that they have developed model (s) that can reasonably accurately forecast conditions at a regional level, all is being accomplished is cheap talk.

MJO simulation diagnostics (developed by the working group) are available and hold promise in guiding future model testing and improvement as well as increased sub-seasonal forecast skill.

We use the large - eddy simulation code PyCLES to simulate the dynamics of clouds and boundary layers, to elucidate their response to climate changes, and to develop closure schemes for representing their smaller - scale dynamics in larger - scale climate and weather forecasting models.

Mikhail Tolstykh is an expert for global numerical weather prediction models to develop medium - range and seasonal forecasts.

Attribution depends on simulation models, whose reliability can be tested and if necessary recalibrated using well - established procedures developed for seasonal forecasting.

For 30 + years Atmospheric and Environmental Research (AER) has developed state - of - the - art algorithms for measuring, modeling, simulating and forecasting the Earth's atmosphere state.

Requires the Secretary of the Interior to establish the National Climate Change Wildlife Science Center within USGS to: (1) assess current physical and biological knowledge and prioritize scientific gaps in such knowledge to forecast the ecological impacts of climate change on fish and wildlife at the ecosystem, habitat, community, population, and species levels; (2) develop and improve tools to identify, evaluate, and link scientific approaches and models for forecasting impacts of climate change; (3) develop and evaluate tools to adaptively manage and monitor climate change impacts; and (4) develop capacities for sharing such data.

«A previously developed simple statistical tool — the El Niño — Southern Oscillation Climatology and Persistence (ENSO — CLIPER) model — is utilized as a baseline for determination of skill in forecasting this event.»

(II) develop climate forecast models and tools through the National Centers for Environmental Prediction;

AER scientists have developed techniques to process an ensemble of over fifty tropical cyclone track forecasts from all leading US and international hurricane modeling centers.

The results are a part of the developing field of «weather attribution» that uses observational weather and climate data, weather forecasts and climate models.

If better regional climate models can be developed that can accurately forecast weather conditions at local / regional levels then governments could implement plans for the construction of infrastructure appropriate for future conditions.

I was shocked to find that the pause was real, and this single fact eroded my confidence in the models that have been developed, and their forecasts.

It was analyzed by the EPA using results from two economic forecasting models: the ADAGE model developed at Research Triangle Institute (RTI) in North Carolina; and the IGEM model run by a consulting firm founded by Dale Jorgenson, a professor at Harvard.

We have developed our own atmospheric model and data assimilation system which is called the Integrated Forecasting System (IFS).

Mr. Romm does not use any of the emissions scenarios that are the starting point for IPCC climate projections, but instead has developed a forecast for carbon emissions (which are «rising faster than the most pessimistic economic model considered by the IPCC»).

ERA - Interim combines information from meteorological observations with background information from a forecast model, using the data assimilation approach developed for numerical weather prediction.

Report co-author Robert Fildes, a forecast researcher, developing a simple statistical model that delivers better results when compared with previous climate forecasts, i.e. by adding certain data he has been able to match his figures more accurately with a historic forecast.

In Section 4.2, Tsagouri et al. (2009) developed a new ionospheric forecasting algorithm, called the Solar Wind driven autoregression model for Ionospheric short - term Forecast (SWIF).

A model can be developed that has hundreds of factors with each weighted differently and the model may perform very well when «hind casting» for the given set of factors, but turn out to not accurately forecast future weather conditions / results.