Preprints
https://doi.org/10.5194/egusphere-2023-2478
https://doi.org/10.5194/egusphere-2023-2478
14 Nov 2023
 | 14 Nov 2023

Parametric Sensitivity and Constraint of Contrail Cirrus Radiative Forcing in the Atmospheric Component of CNRM-CM6-1

Maxime Perini, Laurent Terray, Daniel Cariolle, Saloua Peatier, and Marie-Pierre Moine

Abstract. The impact of aviation on climate change due to CO2 emissions no longer needs to be demonstrated. However, the impact of non-CO2 effects such as those from contrails is still subject to large uncertainties. An often neglected source of uncertainty comes from climate model sensitivity to numerical parameters representing subgrid-scale processes. Here we investigate the sensitivity of contrail radiative forcing due parametric uncertainty based on the atmospheric component of the CNRM-CM6-1 coupled model. A perturbed parameter ensemble is generated from the sampling of twenty-two adjustable parameters involved in convection, cloud microphysics and radiative transfer processes. A surrogate model based on multi-linear regression is used to explore the full range of contrail radiative forcing due to parametric uncertainty. Based on an optimization algorithm and a climatological skill score, we find a constrained range of contrail radiative forcing from equally skillful model versions with different sets of parameters. We find a contrail radiative forcing best-estimate of 56 mW.m-2 with a 5–95 % confidence interval of 38–70 mW.m-2. Finally, a sensitivity analysis shows that model parameters controlling contrail's lifetime play a major role in the estimation of contrail radiative forcing.

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Maxime Perini, Laurent Terray, Daniel Cariolle, Saloua Peatier, and Marie-Pierre Moine

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2023-2478', Sidiki Sanogo, 21 Nov 2023
    • AC1: 'Reply on RC1-RC2-CC1', Maxime Perini, 19 Feb 2024
  • RC1: 'Review of egusphere-2023-2478', Anonymous Referee #1, 01 Dec 2023
    • AC1: 'Reply on RC1-RC2-CC1', Maxime Perini, 19 Feb 2024
  • RC2: 'Comment on egusphere-2023-2478', Anonymous Referee #2, 07 Dec 2023
    • AC1: 'Reply on RC1-RC2-CC1', Maxime Perini, 19 Feb 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2023-2478', Sidiki Sanogo, 21 Nov 2023
    • AC1: 'Reply on RC1-RC2-CC1', Maxime Perini, 19 Feb 2024
  • RC1: 'Review of egusphere-2023-2478', Anonymous Referee #1, 01 Dec 2023
    • AC1: 'Reply on RC1-RC2-CC1', Maxime Perini, 19 Feb 2024
  • RC2: 'Comment on egusphere-2023-2478', Anonymous Referee #2, 07 Dec 2023
    • AC1: 'Reply on RC1-RC2-CC1', Maxime Perini, 19 Feb 2024
Maxime Perini, Laurent Terray, Daniel Cariolle, Saloua Peatier, and Marie-Pierre Moine
Maxime Perini, Laurent Terray, Daniel Cariolle, Saloua Peatier, and Marie-Pierre Moine

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Short summary
Uncertainty about aviation radiative forcing is essentially due to uncertainties about non-CO2 forcing, especially for condensation trails (contrails). This study uses a new parameterization for ice-supersaturation and additional contrail coverage in the CNRM-CM6-1 atmospheric component to estimate contrail radiative forcing for the year 2000. The range of contrail radiative forcing due to parametric uncertainty is analyzed. Our contrail radiative forcing best estimate is 56 (38−70) mW.m-2.