Not exact matches
Where (equilibrium / effective) climate
sensitivity (S) is the only parameter being estimated, and the
estimation method works directly from the observed variables (e.g., by regression, as in Forster and Gregory, 2006, or mean
estimation, as in Gregory et al, 2002) over the instrumental period, then the JP for S will be almost of the form 1 / S ^ 2.
The most popular observationally - constrained
method of estimating climate
sensitivity involves comparing data whose relation to S is too complex to permit direct
estimation, such as temperatures over a spatio - temporal grid, with simulations thereof by a simplified climate model that has adjustable parameters for setting S and other key climate properties.
[my ideas are: (1) climate
sensitivity value
estimation is science fiction, (2) abusing of montecarlo
methods in order to attribute climate change to mankind is incorrect and (3) climatic models are not reliable as they are based in THAT climate
sensitivity and as they require at least 900 years of data compilation to work properly].
So many
estimations of climate
sensitivity have now been made, involving many different
methods and eras, that I have the sense that our confidence in the general range of values that has emerged is reinforced by the convergence of data.
The
sensitivity, shown in Supplementary Table 6, of TCR
estimation using the difference
method to choice of base period when using a 2000 — 09 final period is explicable primarily by poor matching of volcanic forcing when base periods other than 1861 — 80 are used.
Accordingly, the forcing
estimation method relies upon a model exhibiting a fairly linear climate response, and hence having a climate feedback parameter (and an effective climate
sensitivity) that does not vary with time (in addition to having a temperature response that is proportional to forcing).
As discussed in some detail in LC15,
sensitivity estimation using an energy budget difference
method is sensitive to variations between the base and final periods in volcanic forcing, due to its very low apparent efficacy, so periods with matching volcanism should be used.
Where (equilibrium / effective) climate
sensitivity (S) is the only parameter being estimated, and the
estimation method works directly from the observed variables (e.g., by regression, as in Forster and Gregory, 2006, or mean
estimation, as in Gregory et al, 2002) over the instrumental period, then the JP for S will be almost of the form 1 / S ^ 2.
The regression - with - intercept
estimation method Marvel et al. use for iRF efficacies and
sensitivities is inappropriate; and most of their estimates using ERF do not agree with the underlying data.
JK No, my
method - which follows the
estimation of climate
sensitivity in Gregory 02 - does not assume that the ocean is in equilibrium now.