The wide range
of estimates of climate sensitivity is attributable to uncertainties about the magnitude of climate feedbacks (e.g., water vapor, clouds, and albedo).
I do enjoy reading the sometimes lively debate surrounding these issues, and I certainly prefer a bit of skepticism to things like a link to a discussion on Scientific American that I followed recently where they were discussing how the recent temperature record has lead to a lowering
of estimates of climate sensitivity.
Not exact matches
The authors found that current conservation prioritizations do not correspond to their projected
estimates of climate sensitivities.
To
estimate how much the
sensitivity varies, Gary Russell
of the NASA Goddard Institute for Space Studies in New York and colleagues ran a
climate model repeatedly.
It tries to turn a major factor in the uncertainty in
climate sensitivity estimates — the behavior
of clouds — into a strength.
On previous
estimates of the
climate sensitivity, that is far too late.
This new research takes away the lower end
of climate sensitivity estimates, meaning that global average temperatures will increase by 3 °C to 5 °C with a doubling
of carbon dioxide.»
When Otto calculated the
climate sensitivity from his data, he found it was about 2 °C — with a range
of 0.9 to 5 °C — well below the IPCC's best
estimate of 3 °C.
By studying the relationship between CO2 levels and
climate change during a warmer period in Earth's history, the scientists have been able to
estimate how the
climate will respond to increasing levels
of carbon dioxide, a parameter known as «
climate sensitivity».
«Our
estimates of climate sensitivity lie well within the range
of 1.5 to 4.5 ºC increase per CO2 doubling summarised in the latest IPCC report.
«My view on this is that the research needs to broaden out to have more
of a focus on variability more generally so that a) we can predict the next few years better b) we can refine our
estimates of the
sensitivity of the
climate system to increases in greenhouse gas concentrations.»
The IPCC wishes to destroy the world economy and starve the world
of energy and food at a cost
of $ 76 trillion over the next 40 year's (UN
estimate), to keep global temps below 2C, when even their wildly pessimistic and disconfirmed projections (formally known as predictions) now suggest that
climate sensitivity could be as low as 1.5 C, without spending a dime.
Well while they are «dialing back» their
estimate of «
Climate Sensitivity», that legacy
of presumably the late Dr Stephen Schneider, they might also consider the claim that: -
In the figure in this article below, 10 out
of 17 recent
climate sensitivity estimates are 2C or lower (3 IPCC
estimates counted as 1): http://www.cato.org/blog/current-wisdom-even-more-low-
climate-
sensitivity-
estimates
We show how the maintained consensus about the quantitative
estimate of a central scientific concept in the anthropogenic
climate - change field — namely,
climate sensitivity — operates as an «anchoring device» in «science for policy».
Olson, R., et al. «What is the effect
of unresolved internal
climate variability on
climate sensitivity estimates?.»
Dr. Benestad states: «They take the ratios
of the amplitude
of band - passed filtered global temperatures to similarly band - passed filtered solar signal as the
estimate for the «
climate sensitivity».
They take the ratios
of the amplitude
of band - passed filtered global temperatures to similarly band - passed filtered solar signal as the
estimate for the «
climate sensitivity».
That study addressed a puzzle, namely that recent studies using the observed changes in Earth's surface temperature suggested
climate sensitivity is likely towards the lower end
of the
estimated range.
The NGN article itself gives a good explanation
of climate sensitivity and the various studies and
estimates of it, and does quote Michael Schlesinger
of the University
of Illinois saying that Hegerl's result «means
climate sensitivity is larger than we thought for 30 years, so the problem is worse than we thought.
Therefore studies based on observed warming have underestimated
climate sensitivity as they did not account for the greater response to aerosol forcing, and multiple lines
of evidence are now consistent in showing that
climate sensitivity is in fact very unlikely to be at the low end
of the range in recent
estimates.
About our
estimates of the
climate transfer
sensitivity to solar variations at 11 years and 22 years, Dr. Benestad makes again a great confusion by misquoting and misunderstanding our paper.
He attacked mainstream
estimates of climate sensitivity by a misapplication
of the Stefan - Bolzmann equation.
They used some crude
estimates of «
climate sensitivity» and
estimates of Total Solar Irradiance (TSI) to calculate temperature signal (in form
of anomalies).
Almost 30 years ago, Jule Charney made the first modern
estimate of the range
of climate sensitivity to a doubling
of CO2.
And that is why they don't report that «
climate sensitivity is probably in the middle of previous predictions» and do report «Climate sensitivity may be twice scientists» previous estimate.
climate sensitivity is probably in the middle
of previous predictions» and do report «
Climate sensitivity may be twice scientists» previous estimate.
Climate sensitivity may be twice scientists» previous
estimate.»
In your sixth last line, you've put the Annan and Hargreaves (A&H)
estimate of the lower bound
of the 95 % confidence limits for
climate sensitivity at 1.9 ºC.
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.
In international assessments
of the
climate issue, the consensus -
estimate of 1.5 degrees C to 4.5 degrees C for
climate sensitivity has remained unchanged for two decades.
If you want to
estimate climate sensitivity to doubling CO2, don't you need to
estimate as precisely as possible the direct and indirect effects
of each forcing on temperature trends?
My only point on the paper was that the
estimates of climate sensitivity therein had been relied upon in the Stern discussion papers.
The calculations
of prospective warming in the OXONIA lecture and the accompanying discussion papers are based on the new
climate sensitivity estimates by Murphy et al which were published in Nature, 12 August 2004, vol.
In
estimating climate sensitivity such effects must be controlled for, and subtracted out to yield the portion
of climate change attributable to CO2.
That gives them various
estimates of the
climate sensitivity.
I agree that the issue
of estimating climate sensitivity is conceptually something like «identifying» H from F and T in your formula.
In this commentary, I will discuss the question «If somebody were to discover that
climate variations in the past were stronger than previously thought, what would be the implications for
estimates of climate sensitivity?»
In addition, past data can be used to provide independent
estimates of climate sensitivity, which provide a reality check on the models.
If one accepts Ruddiman's hypothesis, one implicitly agrees that: i) CO2 and CH4 can be affected by human activity, ii) greenhouse gases have a significant forcing role, and iii)
climate sensitivity is in the ballpark
of mainstream
estimates.
Note that the old GISS model had a
climate sensitivity that was a little higher (4.2 ºC for a doubling
of CO2) than the best
estimate (~ 3ºC) and as stated in previous years, the actual forcings that occurred are not the same as those used in the different scenarios.
«the long fat tail that is characteristic
of all recent
estimates of climate sensitivity simply disappears, with an upper 95 % probability limit... easily shown to lie close to 4 °C, and certainly well below 6 °C.»
In the end, Archibald concludes that the warming from the next 40 ppm
of CO2 rise (never mind the rest
of it) will only be 0.04 degrees C. Archibald's low - ball
estimate of climate change comes not from the modtran model my server ran for him, but from his own low - ball value
of the
climate sensitivity.
In fact, scientists have long recognized the importance
of solar variability as one
of the factors governing
climate (see the very scholarly review
of the subject by Bard and Frank, available here at EPSL or here as pdf) An understanding
of solar variability needs to be (and is) taken into account in attribution
of climate change
of the past century, and in attempts to
estimate climate sensitivity from recent
climate variations.
Most
of the non-model
estimates of climate sensitivity are based on the analyses using other forcings such as solar and aerosols, and the assumption that
sensitivity to CO2 will be the same, despite the differences in way these forcings couple to the
climate system.
It is important to regard the LGM studies as just one set
of points in the cloud yielded by other
climate sensitivity estimates, but the LGM has been a frequent target because it was a period for which there is a lot
of data from varied sources,
climate was significantly different from today, and we have considerable information about the important drivers — like CO2, CH4, ice sheet extent, vegetation changes etc..
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.
This is a 0.9 ºC reduction from the
sensitivity of 2.5 °C
estimated in that predecessor study, which used the same
climate model.
«note that what is done with these
estimates of climate sensitivity for LGM
climate is to use the state
of the
climate already in place at the LGM — including the ice albedo.»
New paper mixing «
climate feedback parameter» with
climate sensitivity... «
climate feedback parameter was
estimated to 5.5 ± 0.6 W m − 2 K − 1» «Another issue to be considered in future work should be that the large value
of the
climate feedback parameter according to this work disagrees with much
of the literature on
climate sensitivity (Knutti and Hegerl, 2008; Randall et al., 2007; Huber et al., 2011).
A combination
of circumstances makes model - based
sensitivity estimates of distant times and different
climates hard to do, but at least we are getting a good education about it.