Preprints
https://doi.org/10.5194/cp-2021-123
https://doi.org/10.5194/cp-2021-123
11 Oct 2021
 | 11 Oct 2021
Status: this discussion paper is a preprint. It has been under review for the journal Climate of the Past (CP). The manuscript was not accepted for further review after discussion.

Uncertainties in the atmospheric loading to ice-sheet deposition for volcanic aerosols and implications for forcing reconstruction

Ya Gao and Chaochao Gao

Abstract. Volcanic radiative forcing reconstruction is an important part of paleoclimate simulation and attribution efforts, and the conversion factor used to transfer ice core-based sulfate observation into stratospheric volcanic aerosol loading (LTD factor) is critical for such reconstruction. A Pinatubo-based LTD combing observations of nuclear tomb test debris in Greenland and volcanic sulfate aerosols in Antarctic was derived and widely applied in the CMIP5 and CMIP6 simulations. This study revisits the LTD factor, by using 58 polar ice core records of volcanic depositions and a Monte Carlo sampling model. A set of Tambora-based LTDs with associated uncertainties are obtained, which corrects the bias of over-representing the west Antarctic. New LTDs for Pinatubo and Agung are calculated using 18 and 24 Antarctic ice core observations, respectively, and the uncertainties are evaluated against the Monte Carlo characterization with varying ice core numbers. The comparison of Southern Hemispheric LTD among Tambora, Pinatubo and Agung suggests that, the conversion factor may vary significantly among different eruptions. Even larger uncertainty is revealed when compare the ice-core-based conversion factor with the model results. Both results suggest systematic and stochastic causes that are difficult to anticipate, and call for precaution when single conversion factor is used for reconstruction.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Ya Gao and Chaochao Gao

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on cp-2021-123', Anonymous Referee #1, 12 Nov 2021
    • AC1: 'Reply on RC1', Chaochao Gao, 10 Jan 2022
  • RC2: 'Comment on cp-2021-123', Anonymous Referee #2, 16 Nov 2021
    • AC2: 'Reply on RC2', Chaochao Gao, 10 Jan 2022
  • RC3: 'Comment on cp-2021-123', Anonymous Referee #3, 16 Nov 2021
    • AC3: 'Reply on RC3', Chaochao Gao, 10 Jan 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on cp-2021-123', Anonymous Referee #1, 12 Nov 2021
    • AC1: 'Reply on RC1', Chaochao Gao, 10 Jan 2022
  • RC2: 'Comment on cp-2021-123', Anonymous Referee #2, 16 Nov 2021
    • AC2: 'Reply on RC2', Chaochao Gao, 10 Jan 2022
  • RC3: 'Comment on cp-2021-123', Anonymous Referee #3, 16 Nov 2021
    • AC3: 'Reply on RC3', Chaochao Gao, 10 Jan 2022
Ya Gao and Chaochao Gao
Ya Gao and Chaochao Gao

Viewed

Total article views: 1,138 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
877 213 48 1,138 39 40
  • HTML: 877
  • PDF: 213
  • XML: 48
  • Total: 1,138
  • BibTeX: 39
  • EndNote: 40
Views and downloads (calculated since 11 Oct 2021)
Cumulative views and downloads (calculated since 11 Oct 2021)

Viewed (geographical distribution)

Total article views: 1,090 (including HTML, PDF, and XML) Thereof 1,090 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 May 2024
Download
Short summary
The atmospheric loading-to-ice cap deposition (LTD) factor is a key part of volcanic forcing reconstruction. We used a large collection of bipolar ice core records and Monte Carlo sampling to provide a new set of Tambora-based LTDs and characterize the uncertainties,while results also show that the LTD factor may vary significantly among different eruptions.