Regional climate response to solar-radiation management
By K. Ricke, M. Morgan, Myles Allen. 2010
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Christian Schröder de Witt
- Thomas Hornigold
- Xiaoyong Yu
- Ben Kravitz
- Marlos Goes
- John C. Moore
- M. Mills
- J. Richter
Citations in the corpus
- Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem (2019, background): “However, naive deployment of SAI has been shown in simulation to produce highly adversarial regional climatic effects in regions such as India and West Africa (Ricke, 2010).”
- Public understanding of solar radiation management (2011, background): “Risks include: changes in precipitation (Ricke et al 2010), a 1748-9326/11/044006+09$33.00 © 2011 IOP Publishing Ltd Printed in the UK1 slowing recovery of the ozone layer (Crutzen 2006, Tilmes et al 2008), and reductions in political and personal motivations to decarbonize the economy (Keith 2000).”
- Geoengineering: The world's largest control problem (2014, background): “Temperatures and precipitations are normalized by the standard deviation of their interannual natural variability [17,34]; this measures change compared to “normal” variability.”
- The Climate Response to Stratospheric Aerosol Geoengineering Can Be Tailored Using Multiple Injection Locations (2017, background): “One of the key questions is what the climate effects would be, including concern over differential regional effects (Kravitz et al., 2014; Ricke et al., 2010).”
- The economics (or lack thereof) of aerosol geoengineering (2009, background): “As noted above, the distribution of aerosol-forcing-dependent damages will not be equally distributed either spatially or temporally (cf. Irvine et al. 2010; Ricke et al. 2010).”
- Climate policy under uncertainty: a case for solar geoengineering (2013, unknown): “CO2-driven climate change; and any particular method of SRM will no doubt entail other risks and side-effects (e.g. Bala et al. 2008; Ricke et al. 2010).”
- Impacts, effectiveness and regional inequalities of the GeoMIP G1 to G4 solar radiation management scenarios (2015, result): “Many previous studies of SRM used single models (e.g., Bala et al., 2008; Ricke et al., 2010; MacCracken et al., 2012; Fyfe et al., 2013).”