Preprints
https://doi.org/10.5194/cp-2021-189
https://doi.org/10.5194/cp-2021-189
 
18 Jan 2022
18 Jan 2022
Status: a revised version of this preprint is currently under review for the journal CP.

Using a process-based dendroclimatic proxy system model in a data assimilation framework: a test case in the Southern Hemisphere over the past centuries

Jeanne Rezsöhazy1,2, Quentin Dalaiden1, François Klein1, Hugues Goosse1, and Joël Guiot2 Jeanne Rezsöhazy et al.
  • 1Université catholique de Louvain (UCLouvain), Earth and Life Institute (ELI), Georges Lemaître Centre for Earth and Climate Research (TECLIM), Place Louis Pasteur, B-1348 Louvain-la-Neuve, Belgium
  • 2Aix Marseille University, CNRS, IRD, INRA, College de France, CEREGE, Aix-en-Provence, France

Abstract. Currently available data assimilation-based reconstructions of past climate variations have only used statistical proxy system models to make the link between the climate model outputs and the indirect observations from tree rings. However, the linearity and stationarity assumptions of the statistical approach may have limitations. In this study, we incorporate the process-based dendroclimatic model MAIDEN into a data assimilation procedure, using as a test case the reconstruction of near-surface air temperature, precipitation and winds in the mid-latitudes of the Southern Hemisphere over the past 400 years. We compare our results with a data assimilation approach including a linear regression as a proxy system model for tree-ring width proxies. Overall, when compared to instrumental data, the reconstructions using MAIDEN as a proxy system model offer a skill equivalent to the experiment using the regression model. However, knowing the advantages that a process-based model can bring and the improvements that can still be made with MAIDEN, those results are promising.

Jeanne Rezsöhazy et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on cp-2021-189', Anonymous Referee #1, 21 Feb 2022
  • RC2: 'Comment on cp-2021-189', Anonymous Referee #2, 01 May 2022

Jeanne Rezsöhazy et al.

Jeanne Rezsöhazy et al.

Viewed

Total article views: 568 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
455 97 16 568 28 4 4
  • HTML: 455
  • PDF: 97
  • XML: 16
  • Total: 568
  • Supplement: 28
  • BibTeX: 4
  • EndNote: 4
Views and downloads (calculated since 18 Jan 2022)
Cumulative views and downloads (calculated since 18 Jan 2022)

Viewed (geographical distribution)

Total article views: 540 (including HTML, PDF, and XML) Thereof 540 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 May 2022
Download
Short summary
Using statistical tree-growth proxy system models in the data assimilation framework may have limitations. In this study, we successfully incorporate the process-based dendroclimatic model MAIDEN into a data assimilation procedure to robustly compare the outputs of an Earth system model with tree-ring width observations. Important steps are made to demonstrate that using MAIDEN as a proxy system model is a promising way to improve the large-scale climate reconstructions with data assimilation.