Only a few
estimates account for uncertainty in forcings other than from aerosols (e.g., Gregory et al., 2002a; Knutti et al., 2002, 2003); some other studies perform some sensitivity testing to assess the effect of forcing uncertainty not accounted for, for example, in natural forcing (e.g., Forest et al., 2006; see Table 9.1 for an overview).
Not exact matches
Home birth is uncommon in the United Kingdom and
uncertainty exists about its safety.1 2 Almost all mortality figures available nationally1 provide merely a single global figure
for planned and unplanned home births, though the constituent rates differ greatly.3 The only recent figures
for planned home birth in England and Wales relating to 19794 and 19935 provide an inaccurately low
estimate of risk because it was not possible to
account for those mothers who originally booked to have a home delivery but ended up delivering in hospital.
However, as pointed out by the authors, this
estimate does not
account for forcing
uncertainties.
Ideally, one would want to do a study across all these constraints with models that were capable of running all the important experiments — the LGM, historical period, 1 % increasing CO2 (to get the TCR), and 2xCO2 (
for the model ECS)-- and build a multiply constrained
estimate taking into
account internal variability, forcing
uncertainties, and model scope.
When differences in scaling between previous studies are
accounted for, the various current and previous
estimates of NH mean surface temperature are largely consistent within
uncertainties, despite the differences in methodology and mix of proxy data back to approximately A.D. 1000... Conclusions are less definitive
for the SH and globe, which we attribute to larger
uncertainties arising from the sparser available proxy data in the SH.
So, I interpret this as scything that the IPCC's best
estimate is that 100 % of the warming since 1950 is attributable to humans, and they then down weight this to «more than half» to
account for various
uncertainties.
These measurements become sparser as we go further back in time, hence trend
estimates become more uncertain; of course we fully
accounted for this
uncertainty in our analysis.
Ideally, one would want to do a study across all these constraints with models that were capable of running all the important experiments — the LGM, historical period, 1 % increasing CO2 (to get the TCR), and 2xCO2 (
for the model ECS)-- and build a multiply constrained
estimate taking into
account internal variability, forcing
uncertainties, and model scope.
Finally, not only did K et al not use a reasonable amplification factor
for land, but they also did not
account for the inherent
uncertainty in the
estimate of amplification.
Not only is its central
estimate relatively distant from (warmer than) the prior record, but even
accounting for known
uncertainties, and their known shapes, it still emerges as easily the most likely warmest year on record.
During recent years (1993 — 2003),
for which the observing system is much better, thermal expansion and melting of land ice each
account for about half of the observed sea level rise, although there is some
uncertainty in the
estimates.
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).
Lyman and colleagues combined different ocean monitoring groups» data sets, taking into
account different sources of bias and
uncertainty — due to researchers using different instruments, the lack of instrument coverage in the ocean, and different ways of analyzing data used among research groups — and put forth a warming rate
estimate for the upper ocean that it is more useful in climate models.
It seems likely to be a combination of factors / definitional differences — as Dr Rogelj says —
account for the difference between the IAM and non-IAM budgets, as both physical climate
uncertainties and technical / societal
uncertainties regarding how much we are able to reduce contributions to warming from non-CO2 matter to
estimates of remaining budgets.»
It also exhibits retreat of springtime snow generally greater than observational
estimates, after
accounting for observational
uncertainty and internal variability.
They (under)
estimate the error in the OLS reconstruction, but they do not
account for any other
uncertainty.
Given current
uncertainties, our global - scale
estimate of reservoir GHG flux does not
account for ice cover, but see the supplemental materials
for an
estimate of the extent to which ice cover could reduce annual - scale emissions (assuming no turnover emissions).
Choosing lower and upper limits that encompass the range of these results and deflating significance levels in order to
account for structural
uncertainty in the
estimate leads to the conclusion that it is very unlikely that TCR is less than 1 °C and very unlikely that TCR is greater than 3.5 °C.
Because Schwartz's model is simpler it is easier to
account for and quantify the
uncertainty in it (in fact much of the
uncertainty in complex GCMs is hidden eg see Stainford et al referenced in the post), so if you take the view that you are interested not just in the mean but the variation in the
estimate Schwartz's model, despite being simpler, gives you better information.
Furthermore, on these times scales the differences between MSU data sets are often not larger than published internal
uncertainty estimates for the RSS product alone and therefore may not be statistically significant when the internal
uncertainty in each data set is taken into
account.
Whilst the system is devised to accurately
account for the range of possible outcomes, as expressed by our ensemble spread and projection
uncertainty, there is still a possibility of the actual outcome falling outside this
estimate.
These
estimates for the response of the AMOC to future anthropogenic forcing rely on our «best guess»
for many of the complex model details, and do not
account for uncertainty in the model input parameters.
However, these
estimates for the response of the AMOC to future anthropogenic forcing rely on our «best guess»
for many of the complex model details, and do not
account for uncertainty in the model input parameters.
Prepare a «traceable
account» of how the [
uncertainty]
estimates were constructed that describes the writing team's reasons
for adopting a particular probability distribution, including important lines of evidence used, standards of evidence applied, approaches to combining / reconciling multiple lines of evidence, explicit explanations of methods
for aggregation, and critical
uncertainties.
For instance, he emphasizes that when computing
uncertainty in a trend
estimate you have to take into
account something called autocorrelation, which means the noise isn't the simple type called «white noise.»
Uncertainty is
estimated by the variance of the residuals about the fit, and
accounts for serial correlation in the residuals as quantified by the lag - 1 autocorrelation.