A number of subsequent publications qualitatively describe parameter values that allow models to reproduce features of observed changes, but without directly estimating a climate
sensitivity probability density function (PDF).
Not exact matches
By mistake, in Figures S1a and S1b of the GRL Auxiliary Material, Dr Forest included the graphs from the MIT Report version, showing very different
probability densities (PDFs) for climate
sensitivity than those in Figure 2 of the main text of Forest 2006 in GRL.
If your assessment of the
Probability Density Function (PDF) of the Equilibrium Climate Sensitivity (ECS) shows a probability that the ECS lies between 1.5 and 4.5 C less than 66 %, you are in disagreement with the IPCC, and your assessment lies outside of the
Probability Density Function (PDF) of the Equilibrium Climate
Sensitivity (ECS) shows a
probability that the ECS lies between 1.5 and 4.5 C less than 66 %, you are in disagreement with the IPCC, and your assessment lies outside of the
probability that the ECS lies between 1.5 and 4.5 C less than 66 %, you are in disagreement with the IPCC, and your assessment lies outside of the consensus.
The IPCC tries to overcome this actually insuperable Lorenz constraint on modelling by estimating climate
sensitivity via a
probability -
density function.
The analysts choose three values of climate
sensitivity (CS) that correspond to the 5th percentile (CS = 2.0 °C), median (CS = 2.5 °C), and 95th percentile (CS = 4.5 °C) of the
probability density function that were jointly estimated with the ocean heat uptake rate.
The Figure provides the
probability density of the equilibrium climate
sensitivity to doubled CO2.
In contrast, a
probability density function over the equilibrium climate
sensitivity conveys no information to a maker of public policy regarding the outcomes from his / her policy decisions.
Tallbloke: It sounds as though you've confused the idea of «
probability» with the idea of «
probability density» for the IPCC isn't saying that a
sensitivity of 18.5 C is as probable as a
sensitivity of 1 C but rather that the two
sensitivities have equal
probability densities.
In most cases,
probability density functions (PDFs) of climate
sensitivity are given, truncated over the range of 0 °C to 10 °C and scaled to give a cumulative distribution function (CDF) of 1 at 10 °C.
As I have just shown, the IPCC's procedure for extraction of a
probability density function over the equilibrium climate
sensitivity is illogical.
It follows from the above proof that the problem of determination of the prior and posterior
probability density functions belonging to the equilibrium climate
sensitivity lacks a solution.
The flat prior PDF is an example of a non-informative prior; it is non-informative about the numerical value of the equilibrium climate
sensitivity within the range of equilibrium climate
sensitivities in which the
probability density is constant and not nil.
Junkink: What you've said is not quite right for while a particular value of the equilibrium climate
sensitivity possesses a
probability density, under the IPCC's model, it does not possess a
probability.
What I think is lost on those skeptics who read the IPCC selectively is that no AGW would not be a black swan to most climate scientists: to put it in reference to
probability distributions for the climate
sensitivity, every serious climate scientist has a
probability distribution with some
density at 0.