Lamarque, D. Olivié, T. Richardson, D. Shindell, and T. Takemura, 2018: A PDRMIP multi-model study on the impacts of regional
aerosol forcings on global and regional precipitation.
Not exact matches
Another massive undertaking, the Indian Ocean Experiment (INDOEX), meanwhile, was specifically designed to see if climate
forcing on the part of
aerosol particles could be directly measured.
That report relies
on studies that include the large
aerosol forcing uncertainty, so criticizing my paper for that would be inconsistent.
One just included the effective influence
on temperatures from manmade
forces (including greenhouse gases and
aerosols, which tend to have a cooling effect), while the second included both manmade and natural ones (including volcanic activity and solar radiation).
Indeed the estimate of
aerosol forcing used in the calculation of transient climate response (TCR) in the paper does not come directly from climate models, but instead incorporates an adjustment to those models so that the
forcing better matches the assessed estimates from the Fifth Assessment Report (AR5) of the Intergovernmental Panel
on Climate Change (IPCC).
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.
Now if this was the 1980s they might have had a point, but the fact that
aerosols are an important climate
forcing, have a net cooling effect
on climate and, in part, arise from the same industrial activities that produce greenhouse gases, has been part of mainstream science for 30 years.
And finally, current theories based
on greenhouse gas increases, changes in solar, volcanic, ozone, land use and
aerosol forcing do a pretty good job of explaining the temperature changes over the 20th Century.
In addition, researchers calculated the changes in the shortwave and longwave and net radiation between the pre-industrial simulation and the present - day simulations to estimate the radiative
forcing resulting from the
aerosol effects
on cirrus clouds.
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.
The top priorities should be reducing uncertainties in climate sensitivity, getting a better understanding of the effect of climate change
on atmospheric circulation (critical for understanding of regional climate change, changes in extremes) and reducing uncertainties in radiative
forcing — particularly those associated with
aerosols.
Until recently, the properties of these
aerosols were hard to experimentally characterize,
forcing computational models to rely
on unsupported assumptions.
-LRB--0.9 W / m2 against -1.3 W / m2)
On this link, http://data.giss.nasa.gov/modelforce/RadF.txt, NASA - GISS provides a total
aerosol forcing, in 2011, of -1.84 W / m2.
Similarly, Gregory et al. (2002a) apply an inverse estimate of the range of
aerosol forcing based
on fingerprint detection results.
Forster and Gregory (2006) estimate ECS based
on radiation budget data from the ERBE combined with surface temperature observations based
on a regression approach, using the observation that there was little change in
aerosol forcing over that time.
When Aldrin adds a fixed cloud lifetime effect of -0.25 W / m ^ 2
forcing on top of his variable parameter direct and (1st) indirect
aerosol forcing, the mode of the sensitivity PDF increases from 1.6 to 1.8.
Ice sheet albedo
forcing is estimated to have caused a global mean
forcing of about — 3.2 W m — 2 (based
on a range of several LGM simulations) and radiative
forcing from increased atmospheric
aerosols (primarily dust and vegetation) is estimated to have been about — 1 W m — 2 each.
Inverse estimates of
aerosol forcing from detection and attribution studies and studies estimating equilibrium climate sensitivity (see Section 9.6 and Table 9.3 for details
on studies).
As long as the temporal pattern of variation in
aerosol forcing is approximately correct, the need to achieve a reasonable fit to the temporal variation in global mean temperature and the difference between Northern and Southern Hemisphere temperatures can provide a useful constraint
on the net
aerosol radiative
forcing (as demonstrated, e.g., by Harvey and Kaufmann, 2002; Stott et al., 2006c).
The indirect
aerosol effect
on clouds is non-linear [1], [76] such that it has been suggested that even the modest
aerosol amounts added by pre-industrial humans to an otherwise pristine atmosphere may have caused a significant climate
forcing [59].
In addressing the question of the effects of greenhouse gases
on Atlantic tropical storms, it might clarify (and even partially defuse) the controversy to lump internal variability together with other
forced responses (particularly
aerosols), rather than to focus
on internal variability vs the total
forced response.
They determine the probability of combinations of climate sensitivity and net
aerosol forcing based
on the fit between simulations and observations (see Section 9.6 and Supplementary Material, Appendix 9.
Forward model approaches to estimating
aerosol forcing are based
on estimates of emissions and models of
aerosol physics and chemistry.
On the other hand, we are also probably underestimating a negative
aerosol forcing, e.g., because we have not included future volcanic
aerosols.
For the sake of interpreting
on - going and future climate change it is highly desirable to obtain precise monitoring of the global
aerosol forcing [73].
From the Physical Science Basis: «Shindell et al. (2009) estimated the impact of reactive species emissions
on both gaseous and
aerosol forcing species and found that ozone precursors, including methane, had an additional substantial climate effect because they increased or decreased the rate of oxidation of SO2 to sulphate
aerosol.
Judy Curry's blog posted an item
on a Richard Lindzen presentation that included the claim that
aerosol forcing is adjusted to make climate projections match observed temperature trends.
Depending
on what you are looking at, it could have a bottom up estimate of
aerosol forcing or
aerosol forcings from a residual calculation — neither of which really have the range of uncertainty.
The prediction of the long - term trajectory, depends
on the climate
forcing (greenhouse gases,
aerosols, solar variability) and how the model responds to those
forcings via feedbacks.
In a new review paper in Nature this week, Andreae, Jones and Cox expand
on the idea that uncertainty in climate sensitivity is directly related to uncertainty in present day
aerosol forcing (see also this New Scientist commentary).
They also demonstrate that there are important dependencies
on the ocean heat uptake estimates as well as to the
aerosol forcings.
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?)
The global mean
aerosol radiative
forcing caused by the ship emissions ranges from -12.5 to -23 mW / m ^ 2, depending
on whether the mixing between black carbon and sulfate is included in the model.
Also, due to the multiplicity of anthropogenic and natural effects
on the climate over this time (i.e.
aerosols, land - use change, greenhouse gases, ozone changes, solar, volcanic etc.) it is difficult to accurately define the
forcings.
I must add
on, there are no reasons for the atmosphere as a whole not to warm, no active massive Volcano eruption neither extra sun reflecting
aerosols, there is according to some a 1 W / m2 lull in solar
forcing at this current solar minima.
The stratospheric component of ECHO - G is obviously better than in an EBM but many of the important factors that lead to this being important were not considered in those runs (i.e. the volcanic
forcing was input as an equivalent TOA
forcing, rather than as absorbing lower stratospheric
aerosols, and no stratospheric ozone feedbacks
on the solar
forcing were included).
Based
on NASA's CMIP5
forcing model, year 2012 has a greenhouse
forcing of 3.54 Wm2, ozone has 0.45 Wm2, atmospheric
aerosols have -0.89 Wm2 combined direct / indirect, and land use has -0.19 Wm2, all based
on iRF.
The portion associated with short term
forcings (solar, unaccounted - for volcanic
aerosols, undercounts of Chinese pollution) will depend
on their long term evolution — if they stabilise, you'd get a delay.
As I said to Andy Revkin (and he published
on his blog), the additional decade of temperature data from 2000 onwards (even the AR4 estimates typically ignored the post-2000 years) can only work to reduce estimates of sensitivity, and that's before we even consider the reduction in estimates of negative
aerosol forcing, and additional
forcing from black carbon (the latter being very new, is not included in any calculations AIUI).
On your page, you show the results for HADCM3
aerosol and ozone (actually the difference between total
forcing and GHG
forcing, but should be approximately the same).
The top panel shows the direct effects of the individual components, while the second panel attributes various indirect factors (associated with atmospheric chemistry,
aerosol cloud interactions and albedo effects) and includes a model estimate of the «efficacy» of the
forcing that depends
on its spatial distribution.
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.
Similarly, the influence of
aerosols on precipitation processes is another example of a non-radiative climate
forcing (see pages 6, and 42 - 44, for example, in the NRC report).
However, the traditional RF often used now (defined in IPCC 2001, 2007 although deviations from this exist, especially for
aerosol evaluations) already incorporates stratospheric adjustment which occurs
on timescales of several months and so TOA / tropopause
forcings become comparable.
A follow - up question related to where we might lose contact between historical and future is the disproportionate role of
aerosols on the asymmetries in climate
forcing.
[T] here have now been several recent papers showing much the same — numerous factors including: the increase in positive
forcing (CO2 and the recent work
on black carbon), decrease in estimated negative
forcing (
aerosols), combined with the stubborn refusal of the planet to warm as had been predicted over the last decade, all makes a high climate sensitivity increasingly untenable.
Yes, there are physical mechanisms to connect GCM's to
aerosol formation — however, GCM's aren't the only
forcing on the system.
Aerosols exert a
forcing on the hydrological cycle by modifying cloud condensation nuclei, ice nuclei, precipitation efficiency, and the ratio between solar direct and diffuse radiation received.
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).
These
forcings are spatially heterogeneous and include the effect of
aerosols on clouds and associated precipitation [e.g., Rosenfeld et al., 2008], the influence of
aerosol deposition (e.g., black carbon (soot)[Flanner et al. 2007] and reactive nitrogen [Galloway et al., 2004]-RRB-, and the role of changes in land use / land cover [e.g., Takata et al., 2009].