If
the effects of cloud feedbacks are eliminated, this range is reduced to 1.7 - 2.3 C. 2 Many other feedbacks, particularly those involving chemistry and biology, may also be important.
Therefore when you ask about the general
effects of cloud feedbacks on climate, you have moved well beyond the scope of a discussion about aerosol second indirect effects.
But the net
effect of cloud feedbacks is less well known.
They usually separate it out as
the effect of the cloud feedback on shortwave radiation (i.e., radiation from the sun) and
the effect of the cloud feedback on longwave radiation (i.e., radiation from the earth).
Not exact matches
The theory
of dangerous climate change is based not just on carbon dioxide warming but on positive and negative
feedback effects from water vapor and phenomena such as
clouds and airborne aerosols from coal burning.
When the CLIMAP data proved to be wrong, and was replaced by more reliable estimates showing a substantial tropical surface temperature drop, Lindzen had to abandon his then - current model and move on to other forms
of mischief (first the «cumulus drying» negative water vapor
feedback mechanism, since abandoned, and now the «Iris»
effect cloud feedback mechanism).
Possible reasons include increased oceanic circulation leading to increased subduction
of heat into the ocean, higher than normal levels
of stratospheric aerosols due to volcanoes during the past decade, incorrect ozone levels used as input to the models, lower than expected solar output during the last few years, or poorly modeled
cloud feedback effects.
This result suggests that models may not yet adequately represent the long - term
feedbacks related to ocean circulation, vegetation and associated dust, or the cryosphere, and / or may underestimate the
effects of tropical
clouds or other short - term
feedback processes.»
There was more ice around in the LGM and that changes the weighting
of ice - albedo
feedback, but also the operation
of the
cloud feedback since
clouds over ice have different
effects than
clouds over water.
Absent understanding
of cloud feedback processes, the best you can really do is mesh it into the definition
of the emergent climate sensitivity, but I think probing (at least some
of) the uncertainties in
effects like this is one
of the whole points
of these ensemble - based studies.
However, this climate sensitivity includes only the
effects of fast
feedbacks of the climate system, such as water vapor,
clouds, aerosols, and sea ice.
Even if the total
effect of clouds has not been nailed down yet, it is obviously a small
effect compared to the rest
of the forcings and
feedbacks in the system.
«By comparing the response
of clouds and water vapor to ENSO forcing in nature with that in AMIP simulations by some leading climate models, an earlier evaluation
of tropical
cloud and water vapor
feedbacks has revealed two common biases in the models: (1) an underestimate
of the strength
of the negative
cloud albedo
feedback and (2) an overestimate
of the positive
feedback from the greenhouse
effect of water vapor.
He goes so far as to say that the IPCC is biased against «internal radiative forcing,» in favor
of treating
cloud effects as
feedback.
Data from satellite observations «suggest that greenhouse models ignore negative
feedback produced by
clouds and by water vapor, that diminish the warming
effects»
of human carbon dioxide emissions.
This result suggests that models may not yet adequately represent the long - term
feedbacks related to ocean circulation, vegetation and associated dust, or the cryosphere, and / or may underestimate the
effects of tropical
clouds or other short - term
feedback processes.»
It is my understanding that the uncertainties regarding climate sensitivity to a nominal 2XCO2 forcing is primarily a function
of the uncertainties in (1) future atmospheric aerosol concentrations; both sulfate - type (cooling) and black carbon - type (warming), (2)
feedbacks associated with aerosol
effects on the properties
of clouds (e.g. will
cloud droplets become more reflective?)
It's possible that CO2 contributes about a.6 C increase in temperature and that the
effects of clouds acts as a negative
feedback to moderate further increases.
The relative importance
of GHG warming and indirect
effect and a revised version
of the IPCC TAR
of the
cloud feedback is exactly what I am working on.
# 27 CCPO It's possible that CO2 contributes about a.6 C increase in temperature and that the
effects of clouds acts as a negative
feedback to moderate further increases.
[Response: These
feedbacks are indeed modelled because they depend not on the trace greenhouse gas amounts, but on the variation
of seasonal incoming solar radiation and
effects like snow cover, water vapour amounts,
clouds and the diurnal cycle.
The details
of the physics
of different forcings (i.e. ozone
effects due to solar, snow albedo and
cloud effects due to aerosols etc.) do vary the
feedbacks slightly differently though.
Re 9 wili — I know
of a paper suggesting, as I recall, that enhanced «backradiation» (downward radiation reaching the surface emitted by the air /
clouds) contributed more to Arctic amplification specifically in the cold part
of the year (just to be clear, backradiation should generally increase with any warming (aside from greenhouse
feedbacks) and more so with a warming due to an increase in the greenhouse
effect (including
feedbacks like water vapor and, if positive,
clouds, though regional changes in water vapor and
clouds can go against the global trend); otherwise it was always my understanding that the albedo
feedback was key (while sea ice decreases so far have been more a summer phenomenon (when it would be warmer to begin with), the heat capacity
of the sea prevents much temperature response, but there is a greater build up
of heat from the albedo
feedback, and this is released in the cold part
of the year when ice forms later or would have formed or would have been thicker; the seasonal
effect of reduced winter snow cover decreasing at those latitudes which still recieve sunlight in the winter would not be so delayed).
When the CLIMAP data proved to be wrong, and was replaced by more reliable estimates showing a substantial tropical surface temperature drop, Lindzen had to abandon his then - current model and move on to other forms
of mischief (first the «cumulus drying» negative water vapor
feedback mechanism, since abandoned, and now the «Iris»
effect cloud feedback mechanism).
There will be Regionally / locally and temporal variations; increased temperature and backradiation tend to reduce the diurnal temperature cycle on land, though regional variations in
cloud feedbacks and water vapor could cause some regions to have the opposite
effect; changes in surface moisture and humidity also changes the amount
of convective cooling that can occur for the same temperature distribution.
Cloud feedbacks may be complicated, but a simple rule
of thumb that emerges from that complexity is that high
clouds exert a strong greenhouse
effect and low
clouds don't.
First, for changing just CO2 forcing (or CH4, etc, or for a non-GHE forcing, such as a change in incident solar radiation, volcanic aerosols, etc.), there will be other GHE radiative «forcings» (
feedbacks, though in the context
of measuring their radiative
effect, they can be described as having radiative forcings
of x W / m2 per change in surface T), such as water vapor
feedback, LW
cloud feedback, and also, because GHE depends on the vertical temperature distribution, the lapse rate
feedback (this generally refers to the tropospheric lapse rate, though changes in the position
of the tropopause and changes in the stratospheric temperature could also be considered lapse - rate
feedbacks for forcing at TOA; forcing at the tropopause with stratospheric adjustment takes some
of that into account; sensitivity to forcing at the tropopause with stratospheric adjustment will generally be different from sensitivity to forcing without stratospheric adjustment and both will generally be different from forcing at TOA before stratospheric adjustment; forcing at TOA after stratospehric adjustment is identical to forcing at the tropopause after stratospheric adjustment).
This is what I get out
of it: the Arctic - ice - albedo situation is more complicated than earlier thought (due to
clouds, sun - filled summers, dark winters, etc), but NET
EFFECT, the ice loss and all these other related factors (some negative
feedbacks) act as a positive
feedback and enhance global warming.
Spencer et al (2007) is cited as evidence for the iris
effect of Lindzen in order to conclude that the negative
feedbacks to the greenhouse
effect due to
clouds will be substantial.
A Lacis: You don't seem to appreciate the fact that water vapor and
clouds are
feedback effects, which means that the water vapor and
cloud distributions depend directly on the local meteorological conditions, and are therefore constrained by the temperature dependence
of the Clausius - Clapeyron relation.
Because the net
effect of clouds — whilst still one
of the major sources
of uncertainty in relation to climate sensitivity is likely a positive
feedback
You don't seem to appreciate the fact that water vapor and
clouds are
feedback effects, which means that the water vapor and
cloud distributions depend directly on the local meteorological conditions, and are therefore constrained by the temperature dependence
of the Clausius - Clapeyron relation.
Spencer + Braswell have shown that over the tropics on a shorter - term basis, the net overall
feedback from
clouds with warming is negative; this is largely due to an increase in reflection
of incoming radiation by increased
clouds with a smaller
effect from the reduction
of energy trapping high altitude
clouds, which slow down outgoing radiation by absorbing and re-radiating energy.
This «climate sensitivity» not only depends on the direct
effect of the GHGs themselves, but also on natural «climate
feedback» mechanisms, particularly those due to
clouds, water vapour, and snow cover.
These models suggest that if the net
effect of ocean circulation, water vapour,
cloud, and snow
feedbacks were zero, the approximate temperature response to a doubling
of carbon dioxide from pre-industrial levels would be a 1oC warming.
Disputes within climate science concern the nature and magnitude
of feedback processes involving
clouds and water vapor, uncertainties about the rate at which the oceans take up heat and carbon dioxide, the
effects of air pollution, and the nature and importance
of climate change
effects such as rising sea level, increasing acidity
of the ocean, and the incidence
of weather hazards such as floods, droughts, storms, and heat waves.
Cumulus
clouds will have the same
effect, but more in balance with the positive
effects, resulting in less negative net
feedback, but with the same result, much lower climate sensitivity than the IPCC would have you believe.I realize that climate sensitivity is not usually discussed as a local phenomenon, but it should be, since it is the integral
of all local phenomena.
If, for instance, CO2 concentrations are doubled, then the absorption would increase by 4 W / m2, but once the water vapor and
clouds react, the absorption increases by almost 20 W / m2 — demonstrating that (in the GISS climate model, at least) the «
feedbacks» are amplifying the
effects of the initial radiative forcing from CO2 alone.
Modelers have chosen to compensate their widely varying estimates
of climate sensitivity by adopting
cloud feedback values countering the
effect of climate sensitivity, thus keeping the final estimate
of temperature rise due to doubling within limits preset in their minds.
Could tropical
cloud feedbacks, or the coupling to ENSO, amplify the
effects of low latitude hydrological responses to high - latitude anomalies in these models?
Cloud variations are obviously an important element on a global scale, but the effects of Arctic ice melting are important locally and also a non-trivial fraction of global albedo feedbacks, which are a contributor to total feedback that is smaller than those from water vapor and probably from cloud feedbacks, but not insignifi
Cloud variations are obviously an important element on a global scale, but the
effects of Arctic ice melting are important locally and also a non-trivial fraction
of global albedo
feedbacks, which are a contributor to total
feedback that is smaller than those from water vapor and probably from
cloud feedbacks, but not insignifi
cloud feedbacks, but not insignificant.
Its warming
effect, however, is simultaneously amplified and dampened by positive and negative
feedbacks such as increased water vapor (the most powerful greenhouse gas), reduced albedo, which is a measure
of Earth's reflectivity, changes in
cloud characteristics, and CO2 exchanges with the ocean and terrestrial ecosystems.
He assumes a
feedback of 1.6 for water vapor, 1.3 for
clouds, and 1.1 for ice / albedo
effects.
''... the warming is only missing if one believes computer models where so - called
feedbacks involving water vapor and
clouds greatly amplify the small
effect of CO2.»
The shortwave
effect of low
clouds is often discussed in terms
of a
feedback mechanism, however they show here that the LW
effect easily dominates the energy budget.
If not either the CO2 / temp relationship is wrong [I do not think so] or the
effect of the CO2 rise is being variably
effected by negative
feedbacks such as increased
cloud formation and albedo thus offsetting the CO2 related temperature rise.
One important
feedback, which is thought to approximately double the direct heating
effect of carbon dioxide, involves water vapor,
clouds and temperature.
However, I am not a «warmista» by any means — we do not know how to properly quantify the albedo
of aerosols, including
clouds, with their consequent negative
feedback effects in any
of the climate sensitivity models as yet — and all models in the ensemble used by the «warmistas» are indicating the sensitivities (to atmospheric CO2 increase) are too high, by factors ranging from 2 to 4: which could indicate that climate sensitivity to a doubling
of current CO2 concentrations will be
of the order
of 1 degree C or less outside the equatorial regions (none or very little in the equatorial regions)- i.e. an outcome which will likely be beneficial to all
of us.
This led to a nasty scene, when he said I was unable to see what was obvious, ever - accelerating cooling which would lead to a runaway «Neptune
Effect» because of mechanisms of positive feedback (his best examples were clouds which collect over the winter solstice — the «in - law» effect — persisting through to mid-February — the «Cupid» effect — and combining forces to wreck the climate for the entire first half of the
Effect» because
of mechanisms
of positive
feedback (his best examples were
clouds which collect over the winter solstice — the «in - law»
effect — persisting through to mid-February — the «Cupid» effect — and combining forces to wreck the climate for the entire first half of the
effect — persisting through to mid-February — the «Cupid»
effect — and combining forces to wreck the climate for the entire first half of the
effect — and combining forces to wreck the climate for the entire first half
of the year.)
but this is the full CMIP3 ensemble, so at least the plot is sampling the range
of choices regarding if and how indirect
effects are represented, what the
cloud radiative
feedback & sensitivity is, etc. across the modelling community.