Climatic Change

, Volume 121, Issue 3, pp 487–497 | Cite as

The long-term policy context for solar radiation management

  • Steven J. SmithEmail author
  • Philip J. Rasch


We examine the potential role of “solar radiation management” or “sunlight reduction methods” (SRM) in limiting future climate change, focusing on the interplay between SRM deployment and mitigation in the context of uncertainty in climate response. We use a straightforward scenario analysis to show that the policy and physical context determine the potential need, amount, and timing of SRM. SRM techniques, along with a substantial emission reduction policy, would be needed to meet stated policy goals, such as limiting climate change to 2 °C above pre-industrial levels, if the climate sensitivity is high. The SRM levels examined by current modeling studies are much higher than the levels required under an assumption of a consistent long-term policy. We introduce a degree-year metric, which quantifies the magnitude of SRM that would be needed to keep global temperatures under a given threshold.


Emission Reduction Emission Scenario Climate Sensitivity Representative Concentration Pathway Integrate Assessment Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors would like to thank James Dooley, Jae Edmonds, Steven Ghan, Page Kyle, Veerabhadran Ramanathan, and two anonymous referees for helpful comments. This research has been funded by the Fund for Innovative Climate and Energy Research (FICER) at the University of Calgary with additional support from the Pacific Northwest National Laboratory.

Supplementary material

10584_2012_577_MOESM1_ESM.doc (293 kb)
ESM 1 (DOC 293 kb) (24 kb)
ESM 2 (ZIP 23.8 kb)


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Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  1. 1.Joint Global Change Research Institute, Pacific Northwest National LaboratoryCollege ParkUSA
  2. 2.Atmospheric Sciences & Global Change, Pacific Northwest National LaboratoryRichlandUSA

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