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https://essopenarchive.org/users/558657/articles/697851-quantifying-the-impact-of-internal-variability-on-the-cesm2-control-algorithm-for-stratospheric-aerosol-injection

*Authors*
Charlotte J Connolly,Emily M Prewett,Elizabeth A. Barnes,James Wilson
Hurrell

*24 Jan 2024*

*Cite as*: Charlotte J Connolly, Emily M Prewett, Elizabeth A. Barnes, et
al. Quantifying the Impact of Internal Variability on the CESM2 Control
Algorithm for Stratospheric Aerosol Injection. ESS Open Archive . January
24, 2024.

DOI:10.22541/essoar.170612815.57714351/v1

*Abstract*
Earth system models are a powerful tool to simulate the response to
hypothetical climate intervention strategies, such as stratospheric aerosol
injection (SAI). Recent simulations of SAI implement tools from control
theory, called “controllers”, to determine the quantity of aerosol to
inject into the stratosphere to reach or maintain specified global
temperature targets, such as limiting global warming to 1.5\textdegree C
above pre-industrial temperatures. This work explores how internal
(unforced) climate variability can impact controller-determined injection
amounts using the Assessing Responses and Impacts of Solar climate
intervention on the Earth system with Stratospheric Aerosol Injection
(ARISE-SAI) simulations. Since the ARISE-SAI controller determines
injection amounts by comparing global annual-mean surface temperature to
predetermined temperature targets, internal variability that impacts
temperature can impact the total injection amount as well. Using an offline
version of the ARISE-SAI controller and data from CESM2 earth system model
simulations, we quantify how internal climate variability and volcanic
eruptions impact injection amounts. While idealized, this approach allows
for the investigation of a large variety of climate states without
additional simulations and can be used to attribute controller
sensitivities to specific modes of internal variability.

*Source: ESS OPEN ARCHIVE*

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