Andy,

 

Just adding my $0.02 regarding tipping points:

 

I think that some thought regarding what we mean by tipping point is useful.
Typically people think about these as a step change in the slope of some
response variable to an input.  This does not necessarily imply any
hysteretic or irreversible behaviour.  Some of the things that people worry
about for tipping points (e.g. Arctic sea ice, though don't recall the
reference) don't show any evidence of hysteresis in climate models if you
subsequently reduced radiative forcing beyond the tipping point (depending
on how long you hold the radiative forcing high).  Extinction of polar bears
would be a very clear irreversibility, collapse of an ice shelf (like
Larson-B) is also effectively irreversible.   That is, I'm using
"irreversibility" here in the sense that if you increase radiative forcing
beyond some point and subsequently reduced radiative forcing, do you get
back roughly where you started from.  This is an important distinction in
terms of risk; if there really was irreversible behaviour, then there is an
enormous risk to crossing the tipping point in the first place.  

 

Time-scales also matter.  If we held the radiative forcing elevated long
enough to melt all of Greenland (which might be a long time, but is
certainly not decades), and then reduce it to todays levels, the ice sheet
might not return.  If we increase radiative forcing for 50 years, and slowly
reduced it back to todays levels, maybe we would get back to something close
to where we are today, even though we were forcing the system at a level
that if sustained sufficiently long would cause major irreversibility.  I'm
not at all trying to be technically precise here, just pointing out that the
perception of risk from crossing a hypothetical tipping point depends on
what the consequences are of crossing it for 5 years or 10 years or 50
years.  Because that matters for how "rapidly" one might consider ramping up
SRM.

 

Ultimately one would have to trade the risk associated with tipping point
with the risk associated with ramping up SRM (which includes unknowns, at
least).

If you're worried about Greenland ice sheet loss, I don't think there's any
argument that this ramp would need to happen on some very short time scale
(you didn't define "rapid" below, neither will I).  From what I've read, I
would say ditto for permafrost, though I understand some people will
disagree with me (and I'd be happy to be pointed to scientific references
arguing how rapidly an intervention would be required).  Arctic sea ice
itself I think is reversible, though the affected ecosystems might not be.
(Nor the change in shipping and mining interests.)

 

And, of course, whether or not we've already crossed tipping points or we're
simply talking about avoiding crossing them in the future will also impact
perceptions of risk, and whether SRM would need to reduce radiative forcing
below today's levels or simply prevent radiative forcing from increasing
beyond some value (assuming that the goal was to avoid tipping points).

 

Sorry, got long-winded.  All to say that the subject of tipping points and
SRM and rates of change thereof is not as trivial as a sound bite.

 

doug

 

 

From: [email protected]
[mailto:[email protected]] On Behalf Of Keith, David
Sent: Wednesday, August 07, 2013 5:32 AM
To: Andrew Lockley; geoengineering
Subject: [geo] RE: Response to D Keith lecture at Harvard

 

Andy

 

Sorry but I do not find this an effective way to debate these topics,
particularly in this case when I am responding to a summary that does not
accurately reflect what I said. I would rather put the energy into writing a
paper or discussing these topics in smaller groups. I would be very happy to
chat more over the next couple days.

 

I do think there is some utility in this blog but I do not now look at it
routinely. It may be that I am just old-fashioned, but I find that the
24-hour blogging culture tends to overemphasize emphasize spurious
disagreement fueled by jumbled factoids in a way that makes it hard to
identify substantive disagreements about facts and values. This is
particularly true in a single-threaded format like this. 

 

But this may simply be my old-fashioned taste: many folks do contribute
smart, relevant and thoughtful posts and are clearly having a lot of fun
doing it. 

 

Cheers,

David

 

 

From: Andrew Lockley [mailto:[email protected]] 
Sent: Tuesday, August 6, 2013 10:38 AM
To: Keith, David; geoengineering
Subject: Response to D Keith lecture at Harvard

 

David

Below are a few questions and comments from your interesting lecture today.
I'm copying to the Google group to invite wider comment on the important
issues your raised.

It would be great to hear any comments you have, if you are able to respond.


Thanks 

A

Ramp up 
You considered a linear and shallow ramp up of SRM intervention. This
perhaps works particularly well for a linear climate response. Should we not
instead be looking at more rapid temperature reductions, to reduce risks of
crossing tipping points (Greenland, permafrost, etc)?

Health impacts 
You assume quantifiable health impacts from particulate rain out. However,
the aerosol rain out would be well distributed, with much occurring in
depopulated areas. Are the health impacts of distributed particulates
comparable to those from concentrated loading patterns (eg focussed on
harbours and cities)?  I assume the calculated risks were derived from these
concentrated loading patterns. Will the health risks  be reduced because
rain out will likely mix with, or condensate, raindrops -  hence diluting
them to destruction. 

Delivery mechanism 
Previously you considered homogeneous condensation of H2SO4, and today you
discussed in-situ high-altitude combustion of solid S to release SO2. In
response to my verbal question, you stated that particle size distribution
issues only kick in around 'a few' MT. However, having a constant delivery
mechanism reduces the risk of 'nasty surprises' on switching, despite
increased lofting costs in earlier stages. Is there an argument for
'starting as you mean to carry on'?

Distribution pattern 
Particularly with high aerosol loads, there may be advantages to a
temporally bound injection regime (when using precursor gases instead of
direct particulate injection). This is due to the benefit of constrained
particle growth. (See reference below) Does a potential requirement for a
temporally-concentrated injection regime mean that the use of aircraft
becomes problematic from a cost point of view? EG to do all the injection in
a month per year, you'd likely need up to 12x as many aircraft. 
You also considered the spatial distribution pattern. A 30N to 30S injection
regime may take advantage of the Brewer Dobson circulation. However, is
there not a risk of particle size growth and rain out. See 
Heckendorn et al ( http://m.iopscience.iop.org/1748-9326/4/4/045108 ), who
discussed particle growth, and I recall this paper may also have discussed
spatial (vertical and latitude) and temporal distribution patterns, and
advocated a more spatially varied injection regime. 

Smart particles 
You touched on the concept of 'smart particles'. Is there a risk that these
can be weaponised to make a solar concentrator, capable of burning buildings
on the ground? 

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