Sentences with phrase «prediction system predict»

Pelly, J.L., and B.J. Hoskins, 2003b: How well does the ECMWF Ensemble Prediction System predict blocking?

Not exact matches

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.

Although the CHARLES solver was developed to tackle problems like high - fidelity jet engine simulation and supersonic jet noise prediction, it had never been applied to predict combustion dynamics in a configuration as complex as a GE gas turbine combustion system.

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.

In this report Harris makes «Recommendations to Improve the Louisiana System of Accountability for Teachers, Leaders, Schools, and Districts,» the main one being that the state focus «more on student learning or growth --[by] specifically, calculating the predicted test scores and rewarding schools based on how well students do compared with those predictions.»

There are two messages in this example: (1) we aren't good at predicting the future of complex systems and (2) we are good at over-reacting to predictions that are made, while forgetting how inaccurate they may prove to be.

One does not have to be skeptical about the science of global warming to be skeptical of excessively «certain» long term predictions that involve weather and climate, the ultimate chaotic system that can not be accurately predicted.

In here DK shows that even if we know and understand fully the dynamics of a system we can not predict in the longterm via deterministic models and thus design and decision - making can not depend on such predictions.

The Decadal Climate Prediction Project addresses a range of scientific issues involving the ability of the climate system to be predicted on annual to decadal timescales, the skill that is currently and potentially available, the mechanisms involved in long timescale variability, and the production of forecasts of benefit to both science and society

Yet some kind of climate model is indispensable to make future predictions of the climate system and IPCC has identified several reasons for respect in the climate models including the fact that models are getting better in predicting what monitoring evidence is actually observing around the world in regard to temperature, ice and snow cover, droughts and floods, and sea level rise among other things.

This study assesses the ability of the Canadian Seasonal to Interannual Prediction System (CanSIPS) and the Canadian Earth - system Model 2 (CanESM2) to predict and simulate snow and sea ice from seasonal to multi-decadal timescales, with a focus on the Canadian sSystem (CanSIPS) and the Canadian Earth - system Model 2 (CanESM2) to predict and simulate snow and sea ice from seasonal to multi-decadal timescales, with a focus on the Canadian ssystem Model 2 (CanESM2) to predict and simulate snow and sea ice from seasonal to multi-decadal timescales, with a focus on the Canadian sector.

When you talk about predicting the actual state of the system at some future point (e.g. by analogy with weather prediction), you're just pitching the other side an easy slow ball.

• The readiness of the nation to predict and avoid public and occupational health problems caused by heat waves and severe storms • Characterization and quantification of relationships between climate variability, health outcomes, and the main determinants of vulnerability within and between populations • Development of reliable methods to connect climate - related changes in food systems and water supplies to health under different conditions • Prediction of future risks in response to climate change scenarios and of reductions in the baseline level of morbidity, mortality, or vulnerability • Identification of the available resources, limitations of, and potential actions by the current U.S. health care system to prevent, prepare for, and respond to climate - related health hazards and to build adaptive capacity among vulnerable segments of the U.S. population

The deception by the IPCC is based on their knowledge that the climate is a «complex non linear chaotic system» yet the IPCC persists in leading the general public into thinking they can actually predict (not project) the future climate and on the basis of their «predictions», we need to radically alter our lives and beggar ourselves.

To understand and predict the response of the climate system to increases of radiatively active gases and aerosols and to compare these predictions to the observed climate record in order to detect the anthropogenic modification of the natural climate signal.

The Modeling, Analysis, Predictions, and Projections (MAPP) Program is a competitive grants program in the NOAA Office of Oceanic and Atmospheric Research Climate Program Office with the mission to enhance the United States» capability to understand and predict natural variability and changes in Earth's climate system.

Ensemble decadal prediction simulations using the Community Earth System Model (CESM) can skillfully predict past decadal rates of Atlantic winter sea ice change because they do well at predicting THC - driven ocean heat content change in the vicinity of the winter sea ice edge in the Labrador, Greenland, Irminger, and Barents Seas.

The mismatch between the data and the model predictions, however, raises serious questions on the ability of the multi-decadal global climate models to accurately predict even the global average variability and long term trend of the radiative imbalance of the climate system.

So while it may be theoretically possible to predict long - scale climate changes, it may still be impossible to discern the true drivers of these climate systems amidst the chaos, making the long - term prediction problem moot.

Chief Justice Lamer accepted «that the art of predicting recidivism and future dangerousness is, at the very least, a somewhat inexact process», but responded to this problem by asserting that «the bail system does not aim to make exact predictions about future dangerousness because such predictions are impossible to make».

Lastly, Rocket aims to integrate next - generation blockchain - based prediction systems such as Gnosis and Augur to allow investors to predict success of certain startups.