Not exact matches
«This is one of several recent studies that provide sobering evidence that earth's climate
sensitivity may lie in the upper end of the current
uncertainty range,» Mann said in an email.
The study provides
sensitivity analyses of key model assumptions and starting data
uncertainty, indicating that the UN projections may have too small a
range of
uncertainty.
Climatologists would have dearly loved to narrow the
uncertainty range of climate
sensitivity, but until recently there has been not enough solid evidence to justify this.
I agree (as does IPCC) that there is
uncertainty, as stated, in the climate
sensitivity, but you are completely unjustified in your claim that the cosmic - ray correlation (for which there is still no sound physical basis or quantified mechanism) supports the lower end of the
sensitivity range.
Therefore, I wouldn't attach much credence, if any, to a modelling study that didn't explore the
range of possibilities arising from such
uncertainty in parameter values, and particularly in the value of something as crucial as the climate
sensitivity parameter, as in this example.
For example, we know the past CO2 radiative forcing to very high accuracy, but there are more
uncertainties in the aerosol forcing; applying a consistent climate
sensitivity to both CO2 and aerosols, you can get a match to the observed record for a
range of different supposed aerosol forcings, but you can't take it too far.
This paper suggests that models with
sensitivity around 4ºC did the best, though they didn't give a formal estimation of the
range of
uncertainty.
It is not all that earthshaking that the numbers in Schmittner et al come in a little low: the 2.3 ºC is well within previously accepted
uncertainty, and three of the IPCC AR4 models used for future projections have a climate
sensitivity of 2.3 ºC or lower, so that the
range of IPCC projections already encompasses this possibility.
Climatologists would have dearly loved to narrow the
uncertainty range of climate
sensitivity, but until recently there has been not enough solid evidence to justify this.
Cloud responses are more uncertain and that feeds in to the
uncertainty in overall climate
sensitivity — but the
range in the AR4 models (2.1 to 4.5 deg C for 2xCO2) can't yet be constrained by paleo - climate results which have their own
uncertainties.
There are reasons why the AR4 runs did not span the whole possible space of aerosol forcings &
sensitivity (e.g., Kiehl, 2007, GRL) and thus do not sample the full
range of
uncertainty.
The
uncertainty due purely to the climate
sensitivity for any one scenario is around half that
range.)
This paper suggests that models with
sensitivity around 4ºC did the best, though they didn't give a formal estimation of the
range of
uncertainty.
The IPCC
range, on the other hand, encompasses the overall
uncertainty across a very large number of studies, using different methods all with their own potential biases and problems (e.g., resulting from biases in proxy data used as constraints on past temperature changes, etc.) There is a number of single studies on climate
sensitivity that have statistical
uncertainties as small as Cox et al., yet different best estimates — some higher than the classic 3 °C, some lower.
The current batch of models have a mean climate
sensitivity of about 3 C to doubled CO2 (and
range between 2.5 and 4.0 degrees)(Paris meeting of IPCC, July 2004), i.e an
uncertainty of about 30 %.
What is clear is that uncontrolled emissions will very soon put us in
range of temperatures that have been unseen since the Eemian / Stage 5e period (about 120,000 years ago) when temperatures may have been a degree or so warmer than now but where sea level was 4 to 6m higher (see this recent discussion the possible
sensitivities of the ice sheets to warming and the large
uncertainties involved).
Unfortunately, there are many factors that preclude an effective bound on the risks —
ranging from
uncertainties in downscaling to more fundamental issues such as the
uncertainty of climate
sensitivity.
There's no real progress in our evaluation of climate
sensitivity, rather the demonstration that real progress will be very difficut to reach (worse even, the
range should enlarge as we include more and more parameters for evaluation of f, so more and more
uncertainty because each new parameter will have its own distribution of probability).
If you pick a modern ear baseline where you have more data and a better handle on forcings you end up with about 0.8 C — 2.0 C «
sensitivity» and an
uncertainty range of about + / -0.3 C degrees.
A main focus for climate science in the coming years should be to use whatever methods are available to try to limit the
range of
uncertainties in key climate variables like the climate
sensitivity and transient climate response.
Steven, it is kinda funny that since aerosols and ocean circulation are so poorly understood, the no feedback CO2 forcing is the best understood tracer we have:) So Vaughan could reset his CO2
sensitivity to 1.0 and produce a pretty accurate
range of
uncertainty.
If you set goals in terms of global average temperature, then you need to feed that through the
uncertainty of climate
sensitivity to get the concentration of greenhouse gases — not just carbon dioxide, but the whole
range of greenhouse gases.
Because of the many
uncertainties involved, any estimate of climate
sensitivity comes with a
range, a lower and upper limit within which the real value could reasonably lie.
The reason for the «wild
range» of model predictions has much more to do with the
uncertainty in how emissions will play out in the coming century than it does in the climate
sensitivity to CO2 forcing.
I ask that because I haven't seen evidence one way or the other that I think convincing — because I think that the
uncertainties are too large in a number of ways (w / r / t to the
range of
sensitivity, w / r / t the massive unknowns about positive and negative externalities, w / r / t modeling future economies, etc..)
4) The spread (the
range) of
sensitivity, is a constraint on future
uncertainty being reduced, and even if there is increased information it will increase.
In most cases, these
range from about 2 to 4.5 C per doubled CO2 within the context of our current climate — with a most likely value between 2 and 3 C. On the other hand, chapter 9 describes attempts
ranging far back into paleoclimatology to relate forcings to temperature change, sometimes directly (with all the attendant
uncertainties), and more often by adjusting model parameters to determine the climate
sensitivity ranges that allow the models to best simulate data from the past — e.g., the Last Glacial Maximum (LGM).
In summary, given the large
uncertainties, I am unconvinced by Annan and Hargreave's analysis in terms of providing limits to the
range of expected climate
sensitivity values.
In fairness, there remains considerable
uncertainty in aerosol effects, but if there will be real progress in narrowing the credible
range for climate
sensitivity, it has to come from reducing the still too wide
uncertainty in aerosol effects, not from flogging climate models which assume aerosol offsets inconsistent with the best available measured effects.
Our method for understanding this
uncertainty was to test the
sensitivity of the analysis to a
range of different assumptions.
You also might be interested to know that the IPCC
range of
uncertainty is not stratified by
sensitivity across this short period.
And the
range of the IPCC climate
sensitivities reflects to some degree those
uncertainties.
«Reducing the wide
range of
uncertainty inherent in current model predictions of global climate change will require major advances in understanding and modeling of both (1) the factors that determine atmospheric concentrations of greenhouse gases and aerosols, and (2) the so - called «feedbacks» that determine the
sensitivity of the climate system to a prescribed increase in greenhouse gases.»
and «no data or computer code appears to be archived in relation to the paper» and «the
sensitivity of Shindell's TCR estimate to the aerosol forcing bias adjustment is such that the true
uncertainty of Shindell's TCR
range must be huge — so large as to make his estimate worthless» and the seemingly arbitrary to cherry picked climate models used in Shindell's analysis.
The dynamic content presented here illustrates that point by showing separately the projected temperature
ranges for a given choice of climate
sensitivity (with
uncertainty due solely to radiative forcing).
Thus the
uncertainty in
sensitivity itself argues for insurance against high
sensitivity, and narrowing down the
range (and particularly excluding the higher end) could significantly change our optimal policy response.»
Large
uncertainties remain, but that's exactly the reason for the wide
uncertainty range of climate
sensitivity acknowledged by IPCC.
Energy budget estimates of equilibrium climate
sensitivity (ECS) and transient climate response (TCR) are derived based on the best estimates and
uncertainty ranges for forcing provided in the IPCC Fifth Assessment Scientific Report (AR5).
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).
Energy budget estimates of equilibrium climate
sensitivity (ECS) and transient climate response (TCR) are derived using the comprehensive 1750 — 2011 time series and the
uncertainty ranges for forcing components provided in the Intergovernmental Panel on Climate Change Fifth Assessment Working Group I Report, along with its estimates of heat accumulation in the climate system.
Also, it is very clear (from the SOD) that there is little dispute about the
range of the TCR, but there is still
uncertainty about the long tail of the Equilibrium Climate
Sensitivity, which (according to the SOD) is still kind of determined by an «expert consensus».
I strongly suggest you read the articles that are referred to in chapter 9 to understand how they calculate climate
sensitivity and the
uncertainty ranges therein.
Each effect is given in terms of its impact on the mean airborne fraction over the simulation period (typically 1860 to 2100), with bars showing the
uncertainty range based on the
ranges of effective
sensitivity parameters given in Tables 7.4 and 7.5.
Knutti and Hegerl in the November, 2008 Natural Geoscience paper, The equilibrium
sensitivity of the Earth's temperature to radiation changes, says various observations favor a climate
sensitivity value of about 3 degrees C, with a likely
range of about 2 — 4.5 degrees C per the following graphic whereas the current IPCC
uncertainty is
range is between 1.5 - 4.5 degrees C.
Barring a dramatic breakthrough in reconciliation of some long - standing differences in the magnitude of paleotemperature estimates for different proxies, the
range of paleo -
sensitivities will continue to have this
uncertainty.
I think there is likewise no consensus on the studies that have recently argued for a lower climate
sensitivity, yet the IPCC has widened the
uncertainty range to encompass them.
We investigate the
sensitivity of our results to
uncertainties in the prescribed CO2 and orographic changes, to derive
uncertainty ranges for the various contributing processes.
They use a group of climate models — characterized as «an ensemble of opportunity» in AR4 — that don't reflect the full
range of
uncertainty in our knowledge of climate
sensitivity.
It is clear you do not like statements like «the current AOGCMs may not cover the full
range of
uncertainty for climate
sensitivity».
climate
sensitivity is provided as a
range of estimates due to underlying
uncertainty in the behaviour of some aspects of the climate system as the planet warms.