Preprints
https://doi.org/10.5194/egusphere-2024-2697
https://doi.org/10.5194/egusphere-2024-2697
09 Sep 2024
 | 09 Sep 2024
Status: this preprint is open for discussion.

Impulse response functions as a framework for quantifying ocean-based carbon dioxide removal

Elizabeth Yankovsky, Mengyang Zhou, Michael Tyka, Scott Bachman, David Ho, Alicia Karspeck, and Matthew Long

Abstract. Limiting global warming to 2 °C by the end of the century requires dramatically reducing CO2 emissions, and also implementing carbon dioxide removal (CDR) technologies. A promising avenue is marine CDR through ocean alkalinity enhancement (OAE). However, quantifying carbon removal achieved by OAE deployments is challenging because it requires determining air-to-sea CO2 transfer over large spatiotemporal scales–and there is the possibility that ocean circulation will remove alkalinity from the surface ocean before complete equilibration. This challenge makes it difficult to establish robust accounting frameworks suitable for an effective carbon market. Here, we propose using impulse response functions (IRFs) to address such challenges. We perform model simulations of a short-duration alkalinity release (the “impulse”), compute the resultant air-sea CO2 flux as a function of time, and generate a characteristic carbon uptake curve for the given location (the IRF). Applying the IRF method requires a linear and time-invariant system. We attempt to meet these conditions by using small alkalinity forcing values and creating an IRF ensemble accounting for seasonal variability. The IRF ensemble is then used to predict carbon uptake for an arbitrary-duration alkalinity release at the same location. We test whether the IRF approach provides a reasonable approximation by performing OAE simulations in a global ocean model at locations that span a variety of dynamical and biogeochemical regimes. We find that the IRF prediction can typically reconstruct the carbon uptake in continuous-release simulations within several percent error. Our simulations elucidate the influences of oceanic variability and deployment duration on carbon uptake efficiency. We discuss the strengths and possible shortcomings of the IRF approach as a basis for quantification and uncertainty assessment of OAE, facilitating its potential for adoption as a component of the carbon removal market’s standard approach to Monitoring, Reporting, and Verification (MRV).

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Elizabeth Yankovsky, Mengyang Zhou, Michael Tyka, Scott Bachman, David Ho, Alicia Karspeck, and Matthew Long

Status: open (until 23 Oct 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2024-2697', Benoit Pasquier, 16 Sep 2024 reply
    • AC1: 'Reply on CC1', Elizabeth Yankovsky, 16 Sep 2024 reply
      • CC2: 'Reply on AC1', Benoit Pasquier, 18 Sep 2024 reply
  • RC1: 'Comment on egusphere-2024-2697', Anonymous Referee #1, 02 Oct 2024 reply
Elizabeth Yankovsky, Mengyang Zhou, Michael Tyka, Scott Bachman, David Ho, Alicia Karspeck, and Matthew Long
Elizabeth Yankovsky, Mengyang Zhou, Michael Tyka, Scott Bachman, David Ho, Alicia Karspeck, and Matthew Long

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Short summary
Ocean alkalinity enhancement (OAE) is a promising strategy for ocean-based carbon dioxide removal, as it attempts to accelerate a natural process operating on Earth and may have climatically significant scalability. However, our best strategy for assessing OAE effects involves running computationally expensive climate models. We develop a powerful statistical technique that is able to encapsulate the climatic response to OAE interventions, thus simplifying the OAE carbon accounting problem.