Sentences with phrase «many uncertainties in our predictions»

Yes, there are still big uncertainties in some predictions, but these swing both ways.
Our new -LCB- \ em Spitzer -RCB- observations were taken two years after the original K2 discovery data and have a significantly higher cadence, allowing us to derive improved estimates for this planet's radius, semi-major axis, and orbital period, which greatly reduce the uncertainty in the prediction of near future transit times for the -LCB- \ em James Webb Space Telescope -RCB--LRB--LCB- \ em JWST -RCB--RRB- observations.
By its very nature, a model is a simplification of reality, so the final step when we consider predictions made by numerical models is to assess the uncertainty in our predictions.
Stainforth, D.A., et al., 2005: Uncertainty in predictions of the climate response to rising levels of greenhouse gases.
Interested folks should look up the publications available online at climateprediction.net, starting with Peter Stott & Jamie Kettleborough, Origins and estimates of uncertainty in predictions of twenty - first century temperature rise, Nature, 416, pp.719 - 723, 18 April 2002.
Giorgi, F. and Francisco, R., 2000: Evaluating uncertainties in the prediction of regional climate change.
Secondly, deterministically formulated climate models are incapable of predicting the uncertainty in their predictions; and yet this is a crucially important prognostic variable for societal applications.
[20] When the spread is large, this indicates more uncertainty in the prediction.
New understanding of the thinner ice regime in the Arctic will help reduce the uncertainty in predictions of how the ice conditions evolve.
Clarifying the areas of ignorance and knowledge gaps and uncertainty in predictions is the absolutely first step before «translating» anything.
With nonstationary statistics the standard error of the fit over past years is not a good measure of the uncertainty in the prediction.
How Plants Respond to Elevated Carbon Dioxide How Plants Respond to Elevated Carbon Dioxide University of California, San Diego May 2, 2006 An important source of uncertainty in predictions about...
adopting models that have not been validated or even hide or underestimate uncertainty in their predictions results in increased risks
(d) In decision making, adopting models that have not been validated or even hide or underestimate uncertainty in their predictions, results in increased risks.
The curved blue lines in Figure 9 - 1 present the calibration error, or the uncertainty in predictions based on the calibration (technically the 95 percent prediction interval, which has probability 0.95 of covering the unknown temperature), which is a standard component of a regression analysis.
Secondly, what is the uncertainty in that prediction given a particular forcing?
* D. A. Stainforth, et al., (2005) «Uncertainty in predictions of the climate response to rising levels of greenhouse gases» Nature 433, 403 - 406.

Not exact matches

Readers are cautioned that these forward - looking statements are only predictions and may differ materially from actual future events or results due a variety of factors, including, among other things, that conditions to the closing of the transaction may not be satisfied, the potential impact on the business of Accompany due to the uncertainty about the acquisition, the retention of employees of Accompany and the ability of Cisco to successfully integrate Accompany and to achieve expected benefits, business and economic conditions and growth trends in the networking industry, customer markets and various geographic regions, global economic conditions and uncertainties in the geopolitical environment and other risk factors set forth in Cisco's most recent reports on Form 10 - K and Form 10 - Q.
The company reports that its net revenue will increase to over RMB 5.8 billion ($ 924.0 million) in the second quarter of the year, but said the prediction is subject to «substantial uncertainty
Overall, the IMF's prediction for global growth of 3.1 % in 2016 remained subdued, with the institution citing the uncertainty created by the United Kingdom's decision to leave the European Union (EU) and slower - than - expected US growth as restraining factors since its last set of forecasts in April.
National Australia Bank is the top banking stock pick at Credit Suisse and Morgan Stanley amid predictions the big four could briefly outperform the market in the first quarter before uncertainty sets in.
There were no predictions of victory from him, but neither was there any sign of uncertainty on his face or in his voice about what might happen in the big game.
This uncertainty is partially due to the well - known inability of international relations scholars to make assured predictions, but also to the fact that the dynamics of foreign policy shifts are still widely overlooked and generally misunderstood in the scientific literature.
Taking into account the well - known pro-Labour bias in the electoral system as well as prediction uncertainty, the method suggested then that the Tories would have a 64 % chance of being the largest party in parliament.
Using a representative sample of 20 different methods for predicting extreme sea levels the researchers focused intensely on the measures of uncertainty that accompany any prediction, but that are particularly vexing in the analysis of extremes.
«Ice loss from this part of West Antarctica is already making a significant contribution to sea - level rise — around 1 mm per decade, and is actually one of the largest uncertainties in global sea - level rise predictions.
By improving the understanding of how much radiation CO2 absorbs, uncertainties in modelling climate change will be reduced and more accurate predictions can be made about how much Earth is likely to warm over the next few decades.
At present, the long - term recovery of the Ozone Layer from the effects of CFCs is still on track, but the presence of increasing dichloromethane will lead to uncertainty in our future predictions of ozone and climate.»
The predictions incorporated both the uncertainty in the data and the natural inter-annual variability in climate.
In addition, the U.K. Met Office has emphasized the uncertainty surrounding predictions of crop productivity in AfricIn addition, the U.K. Met Office has emphasized the uncertainty surrounding predictions of crop productivity in Africin Africa.
Some scientists react by avoiding talk of the complexity and uncertainties in climate prediction, says Joussaume, but she does the opposite.
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 difference in outcomes gives scientists an indication of the uncertainty in any given prediction, of the range of possible outcomes.
As can be seen your graph, our climate models make a wide range of predictions (perhaps 0.5 - 5 degC, a 10-fold uncertainty) about how much «committed warming» will occur in the future under any stabilization scenario, so we don't seem to have a decent understanding of these processes.
I would agree that unforeseen changes in ocean circulation could throw off model predictions, there are surely other wildcards too, but uncertainty like that is not your friend if you want to argue against avoiding climate change.
«In the face of natural variability and complexity, the consequences of change in any single factor, for example greenhouse gas emissions, can not readily be isolated, and prediction becomes difficult... Scientific uncertainties continue to limit our ability to make objective, quantitative determinations regarding the human role in recent climate change, or the degree and consequence of future change.&raquIn the face of natural variability and complexity, the consequences of change in any single factor, for example greenhouse gas emissions, can not readily be isolated, and prediction becomes difficult... Scientific uncertainties continue to limit our ability to make objective, quantitative determinations regarding the human role in recent climate change, or the degree and consequence of future change.&raquin any single factor, for example greenhouse gas emissions, can not readily be isolated, and prediction becomes difficult... Scientific uncertainties continue to limit our ability to make objective, quantitative determinations regarding the human role in recent climate change, or the degree and consequence of future change.&raquin recent climate change, or the degree and consequence of future change.»
The uncertainty in aerosol forcing looks unsettling, but this is a good example of the case where one needs to ask: What are the consequences of this uncertainty for our predictions of future climate?
The formation and properties of the aerosol cloud that sits above the monsoon are a major unknown in climate science, and their potential future changes represent one of the largest uncertainties in climate predictions.
It is very important that we know how sensitive our predictions are to any uncertainty in input data or parameter values, so we can change values and investigate the impact on the predictions (see below).
Confidence, uncertainty and decision - support relevance in climate predictions.
Due to the complexity of physical processes, climate models have uncertainties in global temperature prediction.
Wan's Pauling postdoctoral research proposal targets decreasing the uncertainty in climate predictions by improving the way that model components are coupled in global climate models.
They use climate models to understand likely changes in the future and the uncertainty associated with those predictions, and explain their findings using such popular indicates as the Palmer drought index.
Due to an expected additional drag on global investment connected to U.S. trade policy uncertainty, the report included slightly lower projections for export growth in 2017 and 2018 compared to the bank's earlier predictions.
Whether or not actual results and developments will conform to ProShare Advisors LLC's expectations and predictions, however, is subject to a number of risks and uncertainties, including general economic, market and business conditions, changes in laws or regulations or other actions made by governmental authorities or regulatory bodies, and other world economic and political developments.
The large degree of uncertainty associated with the effects of these policies logically led to a wide range of predictions from commentators and practitioners, including the downfall of the US dollar, rapidly rising inflation, and the build - up of a significant bubble in the Treasury bond market.
I once heard John Holdren (President Obama's science advisor) speak on the issue of uncertainty in climate predictions.
As I recall, the researchers, and Myles Allen in particular, emphasised the fact that the bottom end of the range (ie the 2 in 2 - 11 degrees C) corresponded to previous predictions of 2 - 5 degrees C. I seem to remember that they said this gave strength to the prediction that there would be a warming of * at least * 2 degrees C, but that there was a greater degree of uncertainty at the top - end.
The researchers in this case were looking for confirmation of a prediction and found that the data may show such, but they never claimed there was no uncertainty in the conclusion.
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