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 Afric
In addition, the U.K. Met Office has emphasized the
uncertainty surrounding
predictions of crop productivity
in Afric
in 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.&raqu
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.&raqu
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.&raqu
in 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.