Can someone point me to any action that we take that has only known
consequences?
Doesn't every decision carry unknown consequences?


*Deciding to deploy a solar geoengineering scheme might be a little like
deciding to get married -- entered into with high hopes by the parties
involved while the onlookers speculate about impending disaster. Could
markedly improve life for all involved, but we could be in for an ugly
divorce if things don't work out well.*



On Fri, Aug 2, 2013 at 6:49 AM, Fred Zimmerman
<[email protected]>wrote:

> This is not to express any animus, or to quarrel with the basic point that
> models need to improve in accuracy, but it is absolutely bizarre that
> authors of a  study about modelling accuracy
>
> estimate that at least 5–30 years of CMIP work are
> required to improve regional temperature simulations, while
> 30–50 years may be required for sufficiently accurate regional
> precipitation simulations,
>
>
> arrive at this estimate by
>
> Assuming improvements have a linear trend in time
>
>
> (p.8 of the full text).
>
> This is such a silly prediction as to undercut the entire study (which may
> be quite reasonable otherwise).  Who knows what computer technology and
> modellers will be capable of in ten years, let alone fifty?  How can they
> justify the assumption that improvements in accuracy will be linear?  There
> is a painful irony in using this simple-minded model of technology
> improvement to assess the prospects for technology improvement...
>
>
> ---
> Fred Zimmerman
> Geoengineering IT!
> Bringing together the worlds of geoengineering and information technology
> GE NewsFilter: http://geoengineeringIT.net:8080
>
>
> On Fri, Aug 2, 2013 at 6:12 AM, Simon Driscoll <[email protected]>wrote:
>
>>  And although not directly geoengineering (as such), an article came out
>> recently that may be of interest for those looking into any kind of impacts
>> of geoengineering related to temperature, precip, agriculture, and so on,
>> using CMIP5 models (or even CMIP3 models):
>> Implications of regional improvement in global climate models for
>> agricultural impact research Julian Ramirez-Villegas1,2,3, Andrew J
>> Challinor2,3, Philip K Thornton1,4 and Andy Jarvis1,2
>>
>> http://iopscience.iop.org/1748-9326/8/2/024018/
>>
>> Global climate models (GCMs) have become increasingly important for
>> climate change science and provide the basis for most impact studies. Since
>> impact models are highly sensitive to input climate data, GCM skill is
>> crucial for getting better short-, medium- and long-term outlooks for
>> agricultural production and food security. The Coupled Model
>> Intercomparison Project (CMIP) phase 5 ensemble is likely to underpin the
>> majority of climate impact assessments over the next few years. We assess
>> 24 CMIP3 and 26 CMIP5 simulations of present climate against climate
>> observations for five tropical regions, as well as regional improvements in
>> model skill and, through literature review, the sensitivities of impact
>> estimates to model error. Climatological means of seasonal mean
>> temperatures depict mean errors between 1 and 18 ° C (2–130% with respect
>> to mean), whereas seasonal precipitation and wet-day frequency depict
>> larger errors, often offsetting observed means and variability beyond 100%.
>> Simulated interannual climate variability in GCMs warrants particular
>> attention, given that no single GCM matches observations in more than 30%
>> of the areas for monthly precipitation and wet-day frequency, 50% for
>> diurnal range and 70% for mean temperatures. We report improvements in mean
>> climate skill of 5–15% for climatological mean temperatures, 3–5% for
>> diurnal range and 1–2% in precipitation. At these improvement rates, we
>> estimate that at least 5–30 years of CMIP work is required to improve
>> regional temperature simulations and at least 30–50 years for precipitation
>> simulations, for these to be directly input into impact models. We conclude
>> with some recommendations for the use of CMIP5 in agricultural impact
>> studies.
>>
>>
>>      ________________________________________________
>>
>> Simon Driscoll
>> Atmospheric, Oceanic and Planetary Physics
>> Department of Physics
>> University of Oxford
>>
>> Office: +44 (0) 1865 272930
>> Mobile: +44 (0) 7935314940
>>
>> http://www2.physics.ox.ac.uk/contacts/people/driscoll
>>        ------------------------------
>> *From:* [email protected] [[email protected]]
>> on behalf of Simon Driscoll [[email protected]]
>> *Sent:* 01 August 2013 19:58
>> *To:* Fred Zimmerman; geoengineering
>> *Subject:* RE: [geo] RE: Geoengineering carries unknown consequences
>>
>>   Hi Fred,
>>
>>  "action with some degree of error is preferable to the likely
>> consequences of inaction"
>>
>>  as a general rule to apply everywhere, of course, that statement does
>> not hold at all - and very obviously so.
>>
>>  I can't speak on behalf of the author of course, but I suppose he would
>> say something along the following lines, which I agree with:
>>
>>  *Thinking *about action or inaction is often better than *not 
>> thinking*about action or inaction. There are, of course, many specific
>> cases/hypothetical scenarios in all arenas where action is definitely
>> preferable and many cases where action is definitely not preferable. To
>> make the jump from thinking about action or inaction (vs. not thinking) to
>> something closer to what you say for this specific issue: simply action or
>> inaction, definitely requires a certain knowledge about the system.
>>
>>  Here again I can't speak on his behalf, but I would believe the author
>> himself would suggest that we don't have that knowledge, from what he says
>> in his paper looking into the basic physics of the models.
>>
>>  Best wishes,
>>
>>  Simon
>>
>>      ________________________________________________
>>
>> Simon Driscoll
>> Atmospheric, Oceanic and Planetary Physics
>> Department of Physics
>> University of Oxford
>>
>> Office: +44 (0) 1865 272930
>> Mobile: +44 (0) 7935314940
>>
>> http://www2.physics.ox.ac.uk/contacts/people/driscoll
>>        ------------------------------
>> *From:* Fred Zimmerman [[email protected]]
>> *Sent:* 01 August 2013 19:36
>> *To:* Simon Driscoll; geoengineering
>> *Subject:* Re: [geo] RE: Geoengineering carries unknown consequences
>>
>>   How would you respond to the objection (which I am sure you have
>> encountered frequently) that action with some degree of error is preferable
>> to the likely consequences of inaction?
>>
>>
>>  ---
>> Fred Zimmerman
>> Geoengineering IT!
>> Bringing together the worlds of geoengineering and information technology
>>  GE NewsFilter: http://geoengineeringIT.net:8080
>>
>>
>> On Thu, Aug 1, 2013 at 2:14 PM, Simon Driscoll <[email protected]>wrote:
>>
>>>  And a link to the referenced paper:
>>> http://link.springer.com/article/10.1007%2Fs00382-013-1761-5
>>>
>>> "Until now, climate model intercomparison has focused primarily on
>>> annual and global averages of various quantities or on specific components,
>>> not on how well the general dynamics in the models compare to each other.
>>> In order to address how well models agree when it comes to the dynamics
>>> they generate, we have adopted a new approach based on climate networks. We
>>> have considered 28 pre-industrial control runs as well as 70 20th-century
>>> forced runs from 23 climate models and have constructed networks for the
>>> 500 hPa, surface air temperature (SAT), sea level pressure (SLP), and
>>> precipitation fields for each run. We then employed a widely used algorithm
>>> to derive the community structure in these networks. Communities separate
>>> “nodes” in the network sharing similar dynamics. It has been shown that
>>> these communities, or sub-systems, in the climate system are associated
>>> with major climate modes and physics of the atmosphere (Tsonis AA, Swanson
>>> KL, Wang G, J Clim 21: 2990–3001 in 2008; Tsonis AA, Wang G, Swanson KL,
>>> Rodrigues F, da Fontura Costa L, Clim Dyn, 37: 933–940 in 2011;
>>> Steinhaeuser K, Ganguly AR, Chawla NV, Clim Dyn 39: 889–895 in 2012). Once
>>> the community structure for all runs is derived, we use a pattern matching
>>> statistic to obtain a measure of how well any two models agree with each
>>> other. We find that, with the possible exception of the 500 hPa field,
>>> consistency for the SAT, SLP, and precipitation fields is questionable.
>>> More importantly, none of the models comes close to the community structure
>>> of the actual observations (reality). This is a significant finding
>>> especially for the temperature and precipitation fields, as these are the
>>> fields widely used to produce future projections in time and in space."
>>>
>>> Best wishes,
>>>
>>> Simon
>>>
>>>
>>>      ________________________________________________
>>>
>>> Simon Driscoll
>>> Atmospheric, Oceanic and Planetary Physics
>>> Department of Physics
>>> University of Oxford
>>>
>>> Office: +44 (0) 1865 272930
>>> Mobile: +44 (0) 7935314940
>>>
>>> http://www2.physics.ox.ac.uk/contacts/people/driscoll
>>>        ------------------------------
>>> *From:* [email protected] [[email protected]]
>>> on behalf of Simon Driscoll [[email protected]]
>>> *Sent:* 01 August 2013 19:06
>>> *To:* [email protected]
>>> *Subject:* [geo] Geoengineering carries unknown consequences
>>>
>>>    The physicists out there may have already seen this short article:
>>> http://www.physicstoday.org/resource/1/phtoad/v66/i8/p8_s3 (also copied
>>> down below) which may be of interest to group members.
>>>
>>> Best wishes,
>>>
>>> Simon
>>>
>>> +++
>>>
>>>   I read with interest David Kramer’s piece on geoengineering (*Physics
>>> Today*, February 2013, page 17 <http://dx.doi.org/10.1063/PT.3.1878>).
>>> I must say, I am more alarmed by what the geoengineers in his report are
>>> proposing than by the climate changes that are taking place. I believe
>>> geoengineers are removed from scientific reality. They ignore the fact that
>>> the climate system and its components—clouds, hurricanes, and so forth—are
>>> highly nonlinear and thus very sensitive to the initial conditions and to
>>> changes in the parameters. Nevertheless, one could study the system’s
>>> response in a probabilistic way when certain parameters are changed or when
>>> we introduce fluctuations, if the relationships among all the components
>>> are known exactly.
>>>
>>>  And here lies the whole problem with geoengineering. The formulation
>>> of the climate system and its components is only approximately known. More
>>> than 30 climate models are floating around in the climate community, and
>>> their predictions about general dynamics simply don’t agree with each
>>> other. In a recent 
>>> publication,1<http://www.physicstoday.org/resource/1/phtoad/v66/i8/p8_s3#c1>we
>>>  considered 98 control and forced climate simulations from 23 climate
>>> models and examined their similarity in four different fields (upper-level
>>> flow, sea-level pressure, surface air temperature, and precipitation). We
>>> found that except for the upper-level flow, the agreement between the
>>> models is not good. Moreover, none of the models compares well with actual
>>> observations.
>>>
>>>  One person in the *Physics Today* story said that geoengineering may
>>> result in changes in various weather patterns, but nobody knows what the
>>> changes are going to be and how they will affect the climate system. If the
>>> warming in the Arctic is a big event to mitigate, then it will require a
>>> significant “geoengineering” effort. To me, that means significant changes
>>> will occur elsewhere. Who can say whether those changes will be less
>>> serious than those taking place now? How can geoengineers talk about
>>> modifying clouds and albedo when clouds are represented in the climate
>>> models as mostly linear parameterizations?
>>>
>>>  Kramer’s report did not mention hurricanes, but geoengineers also
>>> propose to dissipate them. Hurricanes are unique in the climate system
>>> because they represent major self-organization. As physicists well know,
>>> self-organization occurs in dissipative systems in which energy is not
>>> conserved but instead is exchanged with the environment. Hurricanes involve
>>> huge amounts of energy. Scientists have little idea how the atmosphere and
>>> the ocean will be affected if that energy is not allowed to be exchanged.
>>>
>>>  I would not have a problem with geoengineering if the physics and
>>> dynamics of the climate system were well known. Climate scientists have a
>>> good idea of the large-scale flow of ocean currents, but detailed
>>> measurements are not available. They know the basic physics of cloud
>>> formation and its thermodynamics but do not fully understand detailed cloud
>>> microphysics or the complex connections between climate and ecosystems. And
>>> with complex nonlinear systems, details are important. So we need to make
>>> an effort to improve our understanding of our climate system and its
>>> components before we try to operate on it. We can engineer a car or a plane
>>> because we know the underlying physics of motion, combustion, and flight,
>>> and we understand the role of every component. Can geoengineers say the
>>> same about climate?
>>>
>>>      ________________________________________________
>>>
>>> Simon Driscoll
>>> Atmospheric, Oceanic and Planetary Physics
>>> Department of Physics
>>> University of Oxford
>>>
>>> Office: +44 (0) 1865 272930
>>> Mobile: +44 (0) 7935314940
>>>
>>> http://www2.physics.ox.ac.uk/contacts/people/driscoll
>>>
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>>>
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