Values are shown
for the effective climate sensitivity, the net heat flux across the ocean surface multiplied by the ocean fraction and the global mean temperature change (TCR).
The IPCC's Fifth Assessment Report shows a range of figures
for effective climate sensitivity — the amount of warming that can be expected from a doubling of carbon dioxide levels.
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.
My main criticism of their study is that they have calculated
effective climate sensitivity (their ICS) on a basis which is wrong
for ICS in GCMs; their basis is also inconsistent with observationally - based estimates of ICS.
Depending on meridional heat transport, when freezing temperatures reach deep enough towards low - latitudes, the ice - albedo feedback can become so
effective that
climate sensitivity becomes infinite and even negative (implying unstable equilibrium
for any «ice - line» (latitude marking the edge of ice) between the equator and some other latitude).
My main criticism of their study is that they have calculated
effective climate sensitivity (their ICS) on a basis which is wrong
for ICS in GCMs; their basis is also inconsistent with observationally - based estimates of ICS.
It is possible that
effective climate sensitivity increases over time (ignoring, as
for equilibrium
sensitivity, ice sheet and other slow feedbacks), but there is currently no model - independent reason to think that it does so.
The «flaw» of low - ECS
climate model studies may not be so much in aerosols, the NASA study suggests, as the
effective radiative forcing scenario (with high
climate sensitivity) is accompanied with relatively low value
for aerosol efficacy:
Under «
effective radiative forcing» 20th century observational studies match complex models and paleoclimatology's best estimates
for CO2
climate sensitivity.
The paper's results show the best (median) estimates and «likely» (17 — 83 % probability) ranges
for equilibrium /
effective climate sensitivity (ECS) and transient
climate response (TCR) given in the Lewis & Crok report to have been conservative.
For climate sensitivity the data are limited and have large errors, and are non-linearly related to
sensitivity (and to ocean
effective diffusivity, often estimated alonside
sensitivity).
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
effective climate sensitivities around the time of CO2 doubling (average
for the years 61 to 80), when the signal is strongest, agree reasonably well with the mixed - layer equilibrium
climate sensitivities given in Figure 9.20.
Stipulating, of course, that adaptation might be a more cost -
effective private policy
for you, even if
climate sensitivity ends up to be above the modal estimate.
The lower value — which conforms rather more closely with mainstream thinking than the higher value yields an
effective climate sensitivity of ca 1.5 deg K
for a doubling of CO2, which gets fairly close to ZDM estimates using historical forcing, temperature and ocean heat data.»
I have, incidentally, found using a multilayer diffusive ocean model that there is a near complete identity in the path of the model surface temperature response to a step forcing,
for the better part of a century, over a wide range of equilibrium
climate sensitivities if
effective ocean diffusivity is varied to compensate.
When zero - intercept regressions are used
for estimation, the transient efficacy of Historical iRF is then 1.02, and the equilibrium efficacy is also 1.02 (1.09 with ΔQ divided by 0.86), based on an
effective climate sensitivity of 2.0 °C
for the model.
[8] I estimate GISS - E2 - R's
effective climate sensitivity applicable to the historical period as 1.9 °C and its ERF F2xCO2 as 4.5 Wm − 2, implying a
climate feedback parameter of 2.37 Wm − 2 K − 1, based on a standard Gregory plot regression of (ΔF − ΔN) on ΔT
for 35 years following an abrupt quadrupling of CO2 concentration.
For equilibrium efficacies, I show estimates both from the raw data (save for iRF), and with the ocean heat uptake ΔQ divided by 0.86 to estimate the full TOA imbalance ΔN and the GISS - E2 - R equilibrium climate sensitivity of 2.3 °C replaced by its effective climate sensitivity, taken as 2.0
For equilibrium efficacies, I show estimates both from the raw data (save
for iRF), and with the ocean heat uptake ΔQ divided by 0.86 to estimate the full TOA imbalance ΔN and the GISS - E2 - R equilibrium climate sensitivity of 2.3 °C replaced by its effective climate sensitivity, taken as 2.0
for iRF), and with the ocean heat uptake ΔQ divided by 0.86 to estimate the full TOA imbalance ΔN and the GISS - E2 - R equilibrium
climate sensitivity of 2.3 °C replaced by its
effective climate sensitivity, taken as 2.0 °C.