It also contains
a very high level of uncertainty, as current rate of annual SLR will give us a grand total of....
Not exact matches
«I know it can be
very difficult to maintain a
high level of focus and commitment during a time
of turmoil and
uncertainty.»
What is clear is that uncontrolled emissions will
very soon put us in range
of temperatures that have been unseen since the Eemian / Stage 5e period (about 120,000 years ago) when temperatures may have been a degree or so warmer than now but where sea
level was 4 to 6m
higher (see this recent discussion the possible sensitivities
of the ice sheets to warming and the large
uncertainties involved).
They point to this
uncertainty, while ignoring the
very high degree
of confidence scientists have that carbon dioxide is a greenhouse gas, currently warming the planet, causing sea
level rise and ocean acidification.
In spite
of these
very fundamental
uncertainties, the Kyoto Protocol, adopted in 1997, insists on lowering emissions in the hope
of reaching stabilization at some
level, preferably one that is not too
high.
From this statement, I infer that their objective analysis produced a
very high level of confidence based upon multiple lines
of evidence (which is referred to as a consilience
of evidence), which they then downweighted to account for remaining
uncertainties.
If the
level of uncertainty is
very high, they stress resilience as the best strategy (which basically means economic development to reduce vulnerability, which is basically what the libertarians have been arguing for).
When you argue that a nation emitting
high levels of ghgs need not adopt climate change policies because there is scientific
uncertainty about adverse climate change impacts, are you arguing that a nation need not take action on climate change until scientific
uncertainties are resolved given that waiting to resolve all scientific
uncertainties before action is taken may
very likely make it too late to prevent catastrophic climate change harms to millions
of people around the world?
Based on our assessment, we have
very high confidence for climate impacts (especially sea
level rise and storm surge) on ecosystems; and we have
high confidence for climate impacts on agriculture (reduced to some degree, compared to our
level of confidence about ecosystems, by
uncertainty about the efficacy and implementation
of adaptation options).
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 standard deviation or some other appropriate measure
of ensemble spread.
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).
In fact they are
very spot on how this report was presented, and they clearly laid out the
high level of uncertainties and the need for much new detailed climate science research.
Such solecisms throughout the IPCC's assessment reports (including the insertion, after the scientists had completed their final draft,
of a table in which four decimal points had been right - shifted so as to multiply tenfold the observed contribution
of ice - sheets and glaciers to sea -
level rise), combined with a heavy reliance upon computer models unskilled even in short - term projection, with initial values
of key variables unmeasurable and unknown, with advancement
of multiple, untestable, non-Popper-falsifiable theories, with a quantitative assignment
of unduly
high statistical confidence
levels to non-quantitative statements that are ineluctably subject to
very large
uncertainties, and, above all, with the now - prolonged failure
of TS to rise as predicted (Figures 1, 2), raise questions about the reliability and hence policy - relevance
of the IPCC's central projections.