I was also similarly skeptical of the reliance upon magic clouds. I can see
no way to induce such effects.

A

On Wed, 22 Jul 2020, 16:28 Alan Robock ☮, <[email protected]> wrote:

> Dear Andrew,
>
> Thanks for this, but it is only a meeting abstract.  I don't understand
> how a global energy balance model can produce precipitation.  And I don't
> understand how it would be possible to produce artificial cloud cover on
> demand in specific places and at specific times.  And what kind of clouds
> are they?  I watched the ppt presentation, but it did not answer these
> questions.
>
> Alan
>
> Alan Robock, Distinguished Professor
>   Associate Editor, Reviews of Geophysics
> Department of Environmental Sciences             Phone: +1-848-932-5751
> Rutgers University                    E-mail: [email protected]
> 14 College Farm Road            http://people.envsci.rutgers.edu/robock
> New Brunswick, NJ 08901-8551  USA      ☮ http://twitter.com/AlanRobock
>
> On 7/22/2020 11:00 AM, Andrew Lockley wrote:
>
>
> https://meetingorganizer.copernicus.org/EGU2020/EGU2020-12307.html?s=09
>
> Counteracting global warming by using a locally variable Solar Radiation
> Management
> Davide Marchegiani and Dietmar Dommenget
> Solar Radiation Management (SRM) is regarded as a tool which could
> potentially mitigate or completely offset global warming by increasing
> planetary albedo. However, this approach could potentially reduce
> precipitation as well, as shown in the latest Intergovernmental Panel on
> Climate Change (ICPP) 5th report. Thus, although SRM might weaken global
> climate risks, it may enhance those in some regions. Here, using the
> Globally Resolved Energy Balance (GREB) model, we present experiments
> designed to completely offset the temperature and precipitation response
> due to a CO2-doubling experiment (abrupt2×CO2). The main idea around which
> our study is built upon is to employ a localized and seasonally varying
> SRM, as opposed to the most recent Geo-Engineering experiments which just
> apply a global and homogeneous one. In order to achieve such condition, we
> carry out the computation by using an “artificial cloud cover”. The usage
> of this localized approach allows us to globally cut down temperature
> warming in the abrupt2×CO2 scenario by 99.8% (which corresponds to an
> increase of 0.07 °C on a global average basis), while at the same time only
> having minor changes in precipitation (0.003 mm/day on a global average
> basis). To achieve this the cloud cover is increased by about 8% on a
> global average. Moreover, neither temperature nor precipitation response
> are exacerbated when averaged over any IPCC Special Report on Extremes
> (SREX) region. Indeed, for temperatures, 90% of SREX regions averages fall
> within 0.3 °C change, with all regional mean anomalies being under 0.38 °C.
> Whereas, as far as precipitation is concerned, changes go up to 0.01 mm/day
> for 90% of SREX regions, with all of them changing by less than 0.02
> mm/day. Similar results are achieved for seasonal variations, with Seasonal
> Cycle (DJF-JJA) having no major changes in both surface temperature and
> precipitation.
>
> How to cite: Marchegiani, D. and Dommenget, D.: Counteracting global
> warming by using a locally variable Solar Radiation Management, EGU General
> Assembly 2020, Online, 4–8 May 2020, EGU2020-12307,
> https://doi.org/10.5194/egusphere-egu2020-12307, 2020
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>
>
>

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