Not exact matches
Chart 14
shows that the «dispersion of EPS
estimates for S&P 500 companies is near all - time lows, likely reflecting an unwillingness of analysts to diverge from consensus amid macro
uncertainty.»
The fact that one calculation
shows increased claims indicates the
uncertainty in the
estimates and suggests Iron Dome's influence may have been small enough to be overshadowed by changes in other factors.
We continue to
estimate that a large foreign currency supply will bring about the continued strengthening of the shekel but the Bank of Israel is keeping its policy secret and wants to create
uncertainty, not necessarily
showing its cards and letting market forces swiftly push the exchange rate down.»
For all low risk women, bootstrapped
estimates showed that planned birth in settings other than an obstetric unit was associated with cost savings and considerable stochastic
uncertainty surrounding adverse perinatal outcomes.
It
shows that the problem of pollution from trash burning is big enough that it warrants further study to try and narrow down the large
uncertainties inherent in the study's
estimates.
«Our results
show that the
uncertainty estimates of greenhouse gas inventories depend on the calculation method and on how the input data for the model, such as weather and litterfall data, have been averaged,» says Aleksi Lehtonen, researcher at the Natural Resources Institute Finland (Luke).
These confidence limits assume that the overall risk for a given individual is provided by our
estimates and should not be interpreted as measuring the overall
uncertainty in the absolute risk
estimates, as
shown in Table 5.
Global mean temperatures averaged over land and ocean surfaces, from three different
estimates, each of which has been independently adjusted for various homogeneity issues, are consistent within
uncertainty estimates over the period 1901 to 2005 and
show similar rates of increase in recent decades.
Comparisons with stellar parameter
estimates from the literature
show good agreement within
uncertainties.
The cooling in the graph
shown is indeed 0.1 °C only as you observed, the 0.3 °C arises when we, conservatively,
estimate all
uncertainties in the modeling and the forcings.
In particular, our WMMP
estimates (Fig. 4d)
show a brief shift to wetter conditions pre-CIE, which 15 although
uncertainties are large coincides with the first common appearance of the freshwater algae Pediastrum.
For tunings and other
estimates, the model parameters should
show the
uncertainty initially.
The grey shading
shows the
uncertainty in the
estimated long - term rate of sea level change (Section 6.4.3).
The solid line
shows the current «best
estimate» of the temperature change; the dotted lines
show the range of
uncertainty in the climate response to these emissions.
A reconstruction of Northern Hemisphere temperature from stalagmites
shows that while the
uncertainty range (grey area) is significant, the temperature in the latter 20th Century exceeds the maximum
estimate over the past 500 years (Smith 2006).
However, taking account of sampling
uncertainty (as most more recent detection and attribution studies do, including those
shown in Figure 9.9) makes relatively little difference to
estimates of attributable warming rates, particularly those due to greenhouse gases; the largest differences occur in
estimates of upper bounds for small signals, such as the response to solar forcing (Allen and Stott, 2003; Stott et al., 2003a).
To
estimate uncertainty in total committed rise given some temperature increase, we use the derived Antarctic intervals, plus the ranges for the first three SLR components as
shown in figure 2 A — C of ref.
Solid coloured boxes
show the AR5 best
estimates and 90 %
uncertainty ranges.
A time series of global - average, bias - adjusted SSTs with all
uncertainty estimates combined is
shown in Figure 11.
Nevertheless, this first attempt to
estimate urban - scale CO2ff from atmospheric radiocarbon measurements
shows that CO2ff can be used to verify and improve emission inventories for many poorly known anthropogenic species, separate biospheric CO2, and indicates the potential to constrain CO2ff emissions if transport
uncertainties are reduced.
Estimates from proxy data1 (for example, based on sediment records) are
shown in red (1800 - 1890, pink band
shows uncertainty), tide gauge data in blue for 1880 - 2009,2 and satellite observations are
shown in green from 1993 to 2012.3 The future scenarios range from 0.66 feet to 6.6 feet in 2100.4 These scenarios are not based on climate model simulations, but rather reflect the range of possible scenarios based on other kinds of scientific studies.
UHI is under
estimated, the homogenization method is not accepted by statisticians outside of the small club who created the technique — the climate-gate emails
showed severe
uncertainties and lack of knowledge of proper analytical and statistical techniques, and even suppression of information, even if this is more common practice than people believe... just unacceptable.
In general, these studies have
shown that different ways of creating scenarios from the same source (a global - scale climate model) can lead to substantial differences in the
estimated effect of climate change, but that hydrological model
uncertainty may be smaller than errors in the modelling procedure or differences in climate scenarios (Jha et al., 2004; Arnell, 2005; Wilby, 2005; Kay et al., 2006a, b).
Recent studies
show that there is great «
uncertainty» on the postulated theoretical temperature impact of doubling atmospheric CO2 concentrations, with latest
estimates running around half the previous ones.
«However, Fig. 15 and the associated
uncertainties discussed in Section 3.4
show that long term
estimates of time variable sea level acceleration in 203 year global reconstruction are significantly positive, which supports our previous finding (Jevrejeva et al., 2008a), that despite strong low frequency variability (larger than 60 years) the rate of sea level rise is increasing with time.»
To suggest that this may be a taken as a validation of F&P requires rigorous validation of these two assumptions and a formal error
estimate for the
uncertainty of the hindcast to 1850
showing it to be substantially smaller than F&P bias that is being evaluated.
• Poles to tropics temperature gradient, average temp of tropics over past 540 Ma; and arguably warming may be net - beneficial overall • Quotes from IPCC AR4 WG1
showing that warming would be beneficial for life, not damaging • Quotes from IPCC AR5 WG3 stating (in effect) that the damage functions used for
estimating damages are not supported by evidence • Richard Tol's breakdown of economic impacts of GW by sector • Economic damages of climate change — about the IAMs • McKitrick — Social Cost of Carbon much lower than commonly stated • Bias on impacts of GHG emissions — Figure 1 is a chart
showing 15 recent
estimates of SCC — Lewis and Curry, 2015, has the lowest
uncertainty range.
The very high significance levels of model — observation discrepancies in LT and MT trends that were obtained in some studies (e.g., Douglass et al., 2008; McKitrick et al., 2010) thus arose to a substantial degree from using the standard error of the model ensemble mean as a measure of
uncertainty, instead of the ensemble standard deviation or some other appropriate measure for
uncertainty arising from internal climate variability... Nevertheless, almost all model ensemble members
show a warming trend in both LT and MT larger than observational
estimates (McKitrick et al., 2010; Po - Chedley and Fu, 2012; Santer et al., 2013).
The lightest gray shading
shows the 5 — 95 %
uncertainty in the
estimates, and the medium gray shading denotes the one standard deviation error
estimate.
The point I'm making (and I don't actually care if you don't like the roundabout way I'm making it), is that the PDF
shown above uses an
uncertainty estimate (± 0.2 ºC) that is far too low for anthropogenic warming because it's not acutally derived from any calculation of the components anthropogenic warming (i.e. ANT = GHG + OA).
Spencer + Braswell
showed, based on CERES observations, that the net feedback from clouds with warming temperature over the tropics was negative, instead of positive as
estimated earlier by the IPCC models while conceding «cloud feedbacks remain the largest source of
uncertainty»
The ensemble prediction from the PIOMAS model submitted by Zhang and Lindsay is still
showing an open Northwest Passage (Figure 1a), as in the June Outlook, but there has been a notable drop in the
uncertainty of the
estimate with a low standard deviation in the model ensemble (Figure 1b).
Table 8.7
shows that the best
estimate for total aerosol RF (RFari + aci) has fallen from − 1.2 W / m ² to − 0.7 W / m ² since AR4, largely due to a reduction in RFaci, the
uncertainty band for which has also been hugely reduced.
Figure 2.8
shows a smoothed optimally averaged annual global time - series with
estimates of
uncertainty at ± twice the standard error of the smoothed (near decadal)
estimate.
We are most confident in the methodological strengths of the longitudinal design and future longitudinal analyses.7 More caution is needed in interpreting our prevalence
estimates, but in spite of the methodological
uncertainties of using a non-probabilistic sample, we believe this, like many other quota samples, is likely to give
estimates similar to a probabilistic sample (which may be subject to different biases, as we have
shown with the NATSISS).23