Detectability of Artificial Ocean Alkalinization and Stratospheric Aerosol Injection in MPI‐ESM. Issue 10 (24th October 2020)

• Record Type: Journal Article
• Authors: Fröb, Friederike; Sonntag, Sebastian; Pongratz, Julia; Schmidt, Hauke; Ilyina, Tatiana
• Is Part Of: Earth's future. Volume 8:Issue 10(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-10-24
• Subjects: detection and attribution -- ocean alkalinization -- stratospheric aerosol injection -- Earth system modeling; Environmental sciences -- Periodicals; Environmental sciences; Periodicals; 550
• DOI: 10.1029/2020EF001634
• Languages: English
• ISSNs: 2328-4277

Abstract

Abstract: To monitor the success of carbon dioxide removal (CDR) or solar radiation management (SRM) that offset anthropogenic climate change, the forced response to any external forcing is required to be detectable against internal variability. Thus far, only the detectability of SRM has been examined using both a stationary and nonstationary detection and attribution method. Here, the spatiotemporal detectability of the forced response to artificial ocean alkalinization (AOA) and stratospheric aerosol injection (SAI) as exemplary methods for CDR and SRM, respectively, is compared in Max Planck Institute Earth System Model (MPI‐ESM) experiments using regularized optimal fingerprinting and single‐model estimates of internal variability, while working under a stationary or nonstationary null hypothesis. Although both experiments are forced by emissions according to the Representative Concentration Pathway 8.5 (RCP8.5) and target the climate of the RCP4.5 scenario using AOA or SAI, detection timescales reflect the fundamentally different forcing agents. Moreover, detectability timescales are sensitive to the choice of null hypothesis. Globally, changes in the CO2 system in seawater are detected earlier than the response in temperature to AOA but later in the case of SAI. Locally, the detection time scales depend on the physical, chemical, and radiative impacts of CDR and SRM forcing on the climate system, as well as patterns of internal variability, which is highlighted for oceanic heat and carbon storage. Key Points: Detectability is robust using regularized optimal fingerprinting and single‐model estimates of internal variability Changes in the CO2 system in seawater are detected earlier than the thermodynamic response to AOA but later in the case of SAI Local detectability depends on patterns of internal variability and physical, chemical, and radiative impacts of external forcing