Not exact matches
Whether the observed solar cycle in surface temperature is as large as.17 K (as in Camp and Tung) or more like.1 K (many previous
estimates) is somewhat more in doubt, as is their interpretation in terms
of low thermal inertia and high climate
sensitivity in energy
balance models.
I think that some comment on my energy
balance based climate
sensitivity estimate of 1.6 - 1.7 °C (details at http://www.webcitation.org/6DNLRIeJH), which underpinned Matt Ridley's WSJ op - ed, would have been relevant and
of interest.
The S&P STRIDE LDI component is designed to approximate the
sensitivity of the cost
of income to interest rates and inflation, so even as the account
balance changes, the
estimated retirement income is steady over time.
This
sensitivity estimate is not the last word on the subject, because
of uncertainties in the approximate formulae used to compute the terms in the energy
balance, and neglect
of possible effects
of water vapor feedback on the surface budget.
We should underscore that the concepts
of radiative forcing and climate
sensitivity are simply an empirical shorthand that climatologists find useful for
estimating how different changes to the planet's radiative
balance will lead to eventual temperature changes.
This is an example
of energy transport affecting the energy
balance and a valid argument by itself that the paleo records aren't a reliable way to
estimate current climate
sensitivity, isn't it?
A method
of dealing with the lack
of mass
balance measurements is to
estimate the changes in mass
balance as a function
of climate, using mass
balance sensitivities (see Box 11.2 for definition) and observed or modelled climate change for glacier covered regions.
In particular, two commonly used methods for converting cumulus condensate into precipitation can lead to drastically different climate
sensitivity, as
estimated here with an atmosphere — land model by increasing sea surface temperatures uniformly and examining the response in the top -
of - atmosphere energy
balance.
Girma, the equilibrium climate
sensitivity (
estimated at about 3C per CO2 doubling; or about 0.8 C per W / m ^ 2) is not related to the rate
of increase, but to how far the increase goes until the Earth is back in energy
balance.
No: that is the beauty
of using top
of atmosphere radiative
balance data — it automatically reflects the flow
of heat into the ocean, so thermal inertia
of the oceans is irrelevant to the
estimate of equilibrium climate
sensitivity that it provides, unlike with virtally all other instrumental methods.
Paul, An obvious test that would be more directly informative than your
estimates, would be to see if the energy
balance model analysis correctly diagnoses the
sensitivity of a GCM, given equivalent observations.
But that seems
of little relevance to my heat
balance based climate
sensitivity estimate.
Presenting such alternative figures confuses and undermines the public understanding
of the actual science, which is an understanding about the driving mechanisms
of sea level rise: thermal expansion
of ocean water, melting
of mountain glaciers and complex dynamics
of large ice sheets — in correspondence again with projected temperature rise, that is in turn a product
of projected rises
of greenhouse gas concentrations using calculated
estimates of climate
sensitivity, together creating a net disturbance in Earth's energy
balance, the very root cause
of anthropogenic climate change.
James I very largely agree with what you say, but may I respond on some
of your comments relating to my recent energy -
balance based climate
sensitivity estimate?
For instance, two that were based purely on global energy
balance estimates, with climate
sensitivity assumed to be 3 K; three did not themselves actually
estimate global aerosol forcing; and one turns out to have used a model with a serious code error, correction
of which substantially reduces its
estimate of aerosol cooling.
«The assessment is supported additionally by a complementary analysis in which the parameters
of an Earth System Model
of Intermediate Complexity (EMIC) were constrained using observations
of near - surface temperature and ocean heat content, as well as prior information on the magnitudes
of forcings, and which concluded that GHGs have caused 0.6 °C to 1.1 °C (5 to 95 % uncertainty) warming since the mid-20th century (Huber and Knutti, 2011); an analysis by Wigley and Santer (2013), who used an energy
balance model and RF and climate
sensitivity estimates from AR4, and they concluded that there was about a 93 % chance that GHGs caused a warming greater than observed over the 1950 — 2005 period; and earlier detection and attribution studies assessed in the AR4 (Hegerl et al., 2007b).»
The reason why a 1 / S ^ 2 prior is noninformative is that
estimates of climate
sensitivity depend on comparing changes in temperature with changes in -LCB- forcing minus the Earth's net radiative
balance (or its proxy, ocean heat uptake)-RCB-.
I think that some comment on my energy
balance based climate
sensitivity estimate of 1.6 - 1.7 °C (details at http://www.webcitation.org/6DNLRIeJH), which underpinned Matt Ridley's WSJ op - ed, would have been relevant and
of interest.
From a skim through
of the above post, I think it promises to help me get a far better idea
of the heat
balance method is used along with notional «forcings» to get an
estimate of climate
sensitivity that is not reliant on GCMs.
As well as this simple
estimate from heat
balance implying a best
estimate for ECS
of approximately 1.6 °C, and the reworking
of the Gregory 02 results suggesting a slightly lower figure, two good quality recent observationally - constrained studies using relatively simple hemispheric - resolving models also point to climate
sensitivity being about 1.6 °C:
There were two major themes that emerged across a lot
of the discussions: the stability
of the basic «energy
balance» equation -LRB--RRB- that defines the
sensitivity,, to zeroth order; and the challenge
of estimating cloud feedbacks from process - based understanding.