We propose an online sulfur dioxide (SO2) SAI feedback control algorithm which runs in tandem with E3SMv3 and regularly updates SO2 injection rate according to a feedforward predictive model and a feedback corrective model. Higher update frequency enables seasonally-varying SAI, which is desirable given the seasonally-dependent effectiveness of SAI. This seasonal dependence is exacerbated by Brewer-Dobson circulation, which transports the resulting aerosols toward the winter pole where there is no solar radiation for SAI to mitigate. Sub-annual injection updates pose challenges, notably, how to distinguish forced signal from climate variability, and how to use SAI to target seasonal and regional biases without causing adverse impacts elsewhere in space and time. The higher update frequency (seasonal vs. annual) is made feasible by embedding the feedback controller inside of E3SM, such that E3SM does not have to stop running each season to exchange information with the controller. In this talk we will introduce the mechanics of in situ control, develop a feedback control algorithm, replicate and study the previous annual approaches and their consequences, and discuss the calibration simulations that will enable seasonal-control to avoid this undercooling.
[1] Tilmes, Simone, et al. "CESM1 (WACCM) stratospheric aerosol geoengineering large ensemble project." Bulletin of the American Meteorological Society 99.11 (2018): 2361-2371.
[2] J. H. Richter et al., ‘Assessing Responses and Impacts of Solar climate intervention on the Earth system with stratospheric aerosol injection (ARISE-SAI): protocol and initial results from the first simulations’, Geoscientific Model Development, vol. 15, no. 22, pp. 8221–8243, 2022.
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