Sentences with phrase «system prediction model»

EC - Earth V2.2: description and validation of a new seamless Earth system prediction model.

EC - Earth V2.2: Description and validation of a new seamless Earth system prediction model.

Not exact matches

This glowingly successful model can be expanded further to establish predictions about the future evolution of humans and human social systems.

In Chicago, the Park District will use a new high - tech system that uses computer software to give real - time predictions of bacteria counts based on such factors as water temperature, modeling of the lake bottom and wave action monitored by buoys.

The team, led by doctoral student Adam R. Burns, now a postdoctoral researcher at Stanford University, compared what they found in the fish with predictions from computer modeling of microbial dynamics performed by co-author Elizabeth Miller of the META Center for Systems Biology.

Although useful for making short - term predictions, these models provide little insight into how the higher education system evolves in response to external changes.

The objective of these models would not be to provide a precise forecast of the future (an impossible task), but rather to capture enough of the behavior of the educational system to make useful qualitative predictions.

Better predictions would require improved climate - measurement tools, more sophisticated climate models that work on regional scales, and a better organized system to integrate all the data, the report concludes.

Kruse's discovery confirms an astronomer's prediction in 1973, based on stellar evolution models of the time, that such a system should be possible.

«We have found an implementation of the system that allows us to go in the lab and actually test the predictions of the Dicke model, and some extensions of it as well, in a system that is not nearly as complicated as people always thought it has to be for the Dicke physics,» Engels said.

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

Prediction requires robust models that can simulate biological systems.

The new research used the Met Office Hadley Centre's Decadal Prediction System and found that the model was good at predicting summer Sahel rainfall over the forthcoming five years.

Modeling is a useful tool for making predictions about how various biological systems will function over time, Wolz said.

«As a result, some atmospheric circulations systems can not be resolved by these models, and this clearly impacts the accuracy of climate change predictions as shown in our study.»

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.»

EWeLiNE cannnot simply use the NCAR system because weather models and the algorithms that convert weather predictions into power forecasts differ between the United States and Germany.

The new findings of successful multi-year drought / fire predictions are based on a series of computer modeling experiments, using the state - of - the - art earth system model, the most detailed data on current ocean temperature and salinity conditions, and the climate responses to natural and human - linked radiative forcing.

This finding supports model predictions about how two - and three - star systems form by University of Massachusetts Amherst astrophysicist Stella Offner.

The algorithm generated a model that makes accurate predictions for the full system of this basic metabolic process to consume glucose, which involves seven chemical species.

The arrangement works well most of the time because System 1 is generally very good at what it does: its models of familiar situations are accurate, its short - term predictions are usually accurate as well, and its initial reactions to challenges are swift and generally appropriate.

It provides an elegant method to generate compact and effective models that should allow prediction and control of complex systems.»

The direct microscopic modelling of the system, by extensive computer simulations, has confirmed the existence of this surprising regime and other predictions of the theory.

Under the Decadal and Regional Climate Prediction Using Earth System Models (EaSM) program, the National Science Foundation and the U.S. Departments of Agriculture and Energy will kick in a total of $ 50 million a year for 5 years.

«Without including the real feedbacks, predictions for coupled systems can not work; the model will get away from reality very quickly.»

A new integrated climate model developed by Oak Ridge National Laboratory and other institutions is designed to reduce uncertainties in future climate predictions as it bridges Earth systems with energy and economic models and large - scale human impact data.

A new integrated computational climate model developed to reduce uncertainties in future climate predictions marks the first successful attempt to bridge Earth systems with energy and economic models and large - scale human impact data.

The agencies will invest nearly $ 50 million annually in the new program, dubbed «Decadal and Regional Climate Prediction Using Earth System Models,» or EaSM for short, and expect to deliver improved versions within the next three years.

«The model gives some very clear predictions that are very much in line with some of the best understandings of the physics controlling the El Niño system,» Cobb said.

By incorporating the complexities of channel geometry, fluid flow rates, diffusion coefficients and possible chemical interactions into a numerical model, the behavior of a particular system can be accurately predicted when an intuitive prediction may be extremely difficult.

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.

Because elements of this system are poorly understood and poorly represented in global climate models, collecting real - time, complementary data from a variety of areas will go a long way toward improving scientists ability to use these models for making accurate predictions about Earths climate.

By working on the still - not - fully - cracked nut of estimating changes in hurricane frequency and intensity in a warming climate, Gabe and his colleagues ended up with a modeling system with seasonal skill in regional hurricane prediction.

A number of recent studies linking changes in the North Atlantic ocean circulation to sea ice extent led Yeager to think that it would also be possible to make decadal predictions for Arctic winter sea ice cover using the NCAR - based Community Earth System Model...

In: Investigations on the Model System of the Short - Term Climate Predictions [Ding, Y., et al. (eds.)-RSB-.

The highest prediction of 6.0 million square kilometers is based on a dynamical model forecast using the US Navy Earth System Model (NESM), whereas the lowest prediction of 3.4 million square kilometers comes from a heuristic contribumodel forecast using the US Navy Earth System Model (NESM), whereas the lowest prediction of 3.4 million square kilometers comes from a heuristic contribuModel (NESM), whereas the lowest prediction of 3.4 million square kilometers comes from a heuristic contribution.

Developing Cell Therapies: Enabling Cost Prediction By Value Systems Modeling to Manage Developmental Risk.

Systems biology and bioinformatics analyses are employed to compare research results from model organisms with human aging to develop models and predictions for causative molecular mechanisms and circuits that influence human aging.

Researchers use a variety of information and tools, such as mathematical modeling, to describe the complex interactions among components of a biological system and make predictions that help guide and further refine experimental science.

Morpheme 4 & Euphoria Company: NaturalMotion www.naturalmotion.com/middleware NaturalMotion's animation tool Morpheme 4 offers new advanced prediction modelling capabilities to enable developers to create complex integrations between animation and AI systems.

«Rather the focus must be upon the prediction of the probability distribution of the system s future possible states by the generation of ensembles of model solutions.

But the point is, such variability makes modeling even harder, for not only are the general parameters of the physical system necessary to get right, but, if prediction is a goal, actually TRACKING the actual realization Earth is taking is part of the job.

Hi, when I am discussing with climate skeptics, they often refer to the third report of the IPCC (page 774): «In climate research and modelling, we should recognise that we are dealing with a coupled non-linear chaotic system, and therefore that the long - term prediction of future climate states is not possible.»

Note also, that what the sceintists are calling for is prediction based on understanding the system, not a simple «prediction» by a single model.

You could try quoting the very next sentence to them: «The most we can expect to achieve is the prediction of the probability distribution of the system's future possible states by the generation of ensembles of model solutions.»

In climate research and modeling, we should recognize that we are dealing with a coupled non-linear chaotic system, and therefore that the long - term prediction of future climate states is not possible.

The researchers compared predictions of 22 widely used climate «models» — elaborate schematics that try to forecast how the global weather system will behave — with actual readings gathered by surface stations, weather balloons and orbiting satellites over the past three decades.

Samson wrote: when I am discussing with climate skeptics, they often refer to the third report of the IPCC (page 774): «In climate research and modelling, we should recognise that we are dealing with a coupled non-linear chaotic system, and therefore that the long - term prediction of future climate states is not possible.»

While the definition of a forcing may appear a little arbitrary, the reason why radiative forcing is used is because it (conveniently) gives quite good predictions of what happens in models to the global mean temperature once the climate system has fully responded to the change.

Based on results from large ensemble simulations with the Community Earth System Model, we show that internal variability alone leads to a prediction uncertainty of about two decades, while scenario uncertainty between the strong (Representative Concentration Pathway (RCP) 8.5) and medium (RCP4.5) forcing scenarios [possible paths for greenhouse gas emissions] adds at least another 5 years.