This chart shows Stratospheric Aerosol Injection could deliver cooling of >2°C 
by 2070 compared to the optimistic IPCC projection of 4.5 w/m2 without SAI.  

 

That blows carbon-based cooling out of the water.  Any time anyone says 1.5°C 
is passed, just show them this. Geoengineering is urgent.

 



Source: D. G. MacMartin, D. Visioni , B. Kravitz, J.H. Richter, T. Felgenhauer, 
W. R. Lee, D. R. Morrow, E. A. Parson, and M. Sugiyama, Scenarios for modeling 
solar radiation modification, Proceedings of the National Academy of Science, 
August 2022

 

Fig. 3. High-level results from simulations involving different temperature 
targets: global mean temperature; SO2 injection rates; land average 
precipitation

minus evaporation P-E; Arctic September sea-ice extent; total column ozone in 
southern hemisphere (SH), 60 to 90 ◦S in October (in Dobson Units, DU); Global

Stratospheric Optical Depth; AMOC; and upper ocean heat content (indicative of 
thermosteric sea-level rise).

 

 

 

 

From: [email protected] <[email protected]> On 
Behalf Of Andrew Lockley
Sent: Wednesday, 9 November 2022 9:33 AM
To: geoengineering <[email protected]>
Subject: [geo] Scenarios for modeling solar radiation modification

 

 

Poster's note:  not sure how this got missed. 

 

Authors 

D. G. MacMartin, D. Visioni  B. Kravitz, and M. Sugiyama 

 

https://www.pnas.org/doi/full/10.1073/pnas.2202230119

 

Significance

The benefits and risks of solar radiation modification (SRM; also known as 
solar geoengineering) need to be evaluated in context with the risks of climate 
change and will depend on choices such as the amount of cooling. One challenge 
today is a degree of arbitrariness in the scenarios used in current SRM 
simulations, making comparisons difficult both between SRM and non-SRM cases 
and between different SRM scenarios. We address this gap by 1) defining a set 
of plausible scenarios capturing a range of choices and uncertainties, and 2) 
providing simulations of these scenarios that can be broadly used for 
comparative impact assessment. This is an essential precursor to any 
international assessment by, e.g., the Intergovernmental Panel on Climate 
Change.

 

Abstract

Making informed future decisions about solar radiation modification (SRM; also 
known as solar geoengineering)—approaches such as stratospheric aerosol 
injection (SAI) that would cool the climate by reflecting sunlight—requires 
projections of the climate response and associated human and ecosystem impacts. 
These projections, in turn, will rely on simulations with global climate 
models. As with climate-change projections, these simulations need to 
adequately span a range of possible futures, describing different choices, such 
as start date and temperature target, as well as risks, such as termination or 
interruptions. SRM modeling simulations to date typically consider only a 
single scenario, often with some unrealistic or arbitrarily chosen elements 
(such as starting deployment in 2020), and have often been chosen based on 
scientific rather than policy-relevant considerations (e.g., choosing quite 
substantial cooling specifically to achieve a bigger response). This limits the 
ability to compare risks both between SRM and non-SRM scenarios and between 
different SRM scenarios. To address this gap, we begin by outlining some 
general considerations on scenario design for SRM. We then describe a specific 
set of scenarios to capture a range of possible policy choices and 
uncertainties and present corresponding SAI simulations intended for broad 
community use.

Source: PNAS

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