Isn't all of this excessive political correctness over potential
geoengineering experiments likely to make it more difficult to do
experiments aimed at better understand aerosol forcing?

Can somebody who believes that a certain class of experiments requires
exceptional treatment by virtue of being a 'climate engineering experiment'
or 'geoengineering experiment' please provide me with an operational
definition that would allow a potential regulator to unambiguously
determine whether a proposed experiment aimed at understanding climate
consequences of aerosols does or does not constitute a 'climate engineering
experiment' or 'geoengineering experiment' ?


On Fri, Aug 22, 2014 at 11:41 AM, Andrew Lockley <[email protected]>
wrote:

> Poster's note : those pesky clouds are still proving a source of much
> debate. Dealing with changes in forcings as aerosols are cleaned out in
> coming decades will be a major challenge. This could be the tipping point
> for SRM adoption.
>
>
> http://onlinelibrary.wiley.com/doi/10.1002/2014JD021670/abstract?utm_content=buffer8dee2&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
>
> Keywords:
>
> aerosol;satellite-based estimate;direct forcing;indirect forcing
>
> Large uncertainties exist in estimations of aerosol direct radiative
> forcing (DRF) and indirect radiative forcing (IRF), and the values derived
> from global modeling differ substantially with satellite-based
> calculations. Following the approach of Quaas et al. (2008; hereafter named
> Quaas2008), we reassess satellite-based clear- and cloudy-sky radiative
> forcings and their seasonal variations by employing updated satellite
> products from 2004 to 2011 in combination with the anthropogenic aerosol
> optical depth (AOD) fraction obtained from model simulations using the
> GEOS-Chem-APM. Our derived annual mean aerosol clear-sky forcing (-0.59
> Wm-2) is lower while the cloudy-sky forcing (-0.34 Wm-2) higher than the
> corresponding results (-0.9 Wm-2 and -0.2 Wm-2, respectively) reported in
> Quaas2008. Our study indicates that the derived forcings are sensitive to
> the anthropogenic AOD fraction and its spatial distribution but insensitive
> to the temporal resolution used to obtain the regression coefficients, i.e.
> monthly or seasonal-based. The forcing efficiency (i.e. the magnitude per
> anthropogenic AOD) for the clear-sky forcing based on this study is 19.9
> Wm-2, which is about 5% smaller than Quaas2008's value of 21.1 Wm-2. In
> contrast, the efficiency for the cloudy-sky forcing of this study (11 Wm-2)
> is more than a factor of two larger than Quaas2008's value of 4.7 Wm-2.
> Uncertainties tests indicate that anthropogenic fraction of AOD strongly
> affect the computed forcings while using aerosol index (AI) instead of AOD
> from satellite data as aerosol proxy does not appear to cause any
> significant differences in regression slopes and derived forcings.
>
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