I ran this by my pal Pete Jones who is an expert on system design among
other things (redesignresearch.com) and here is what he had to say:

>
> Seems to me like a provocation to consider a large-scale engineering
> design approach to analysis, identification of points to induce effects,
> and to manage interventions.  As a “design problem” the issue is
> underconceptualized (at first read) in that the “strategy” being
> recommended is conventional linear normal science.  Not that a design
> approach couldn’t be used, it’s just they probably got this paper published
> because their reviewers don’t understand the advanced design literature. It
> seems like a  radical design solution, but it is a conventional strategy
> that would not accommodate discovery, emergent complexity, and accounting
> for unpredictable and unobservable effects.
>
> A non-parametric discovery approach ought to be considered for problems of
> this scale. My former student John Cassel has investigated approaches such
> as this (he just presented at RSD4 on agro-ecology). Last year’s paper on
> NDEAM was an outline for non-parametric design for such complex engineering
> problems., which he published in our special issue.
>
> The Methodological Unboundedness of Limited Discovery Processes
>
> https://journals.hioa.no/index.php/formakademisk/article/view/755
>
> PJ


On Tue, Sep 8, 2015 at 7:20 PM, Andrew Lockley <[email protected]>
wrote:

> http://www.earth-syst-dynam-discuss.net/6/1635/2015/esdd-6-1635-2015.html
>
> Geoengineering as a design problem
>
> 08 Sep 2015
> Abstract. Understanding the climate impacts of solar geoengineering is
> essential for evaluating its benefits and risks. Most previous simulations
> have prescribed a particular strategy and evaluated its modeled effects.
> Here we turn this approach around by first choosing example climate
> objectives and then designing a strategy to meet those objectives in
> climate models.
>
> There are four essential criteria for designing a strategy: (i) an
> explicit specification of the objectives, (ii) defining what climate
> forcing agents to modify so the objectives are met, (iii) a method for
> managing uncertainties, and (iv) independent verification of the strategy
> in an evaluation model.
>
> We demonstrate this design perspective through two multi-objective
> examples. First, changes in Arctic temperature and the position of tropical
> precipitation due to CO2 increases are offset by adjusting high latitude
> insolation in each hemisphere independently. Second, three different
> latitude-dependent patterns of insolation are modified to offset
> CO2-induced changes in global mean temperature, interhemispheric
> temperature asymmetry, and the equator-to-pole temperature gradient. In
> both examples, the "design" and "evaluation" models are state-of-the-art
> fully coupled atmosphere–ocean general circulation models.
>
> Citation: Kravitz, B., MacMartin, D. G., Wang, H., and Rasch, P. J.:
> Geoengineering as a design problem, Earth Syst. Dynam. Discuss., 6,
> 1635-1710, doi:10.5194/esdd-6-1635-2015, 2015.
>
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