Preprints
https://doi.org/10.5194/egusphere-2022-438
https://doi.org/10.5194/egusphere-2022-438
31 Aug 2022
 | 31 Aug 2022

Incorporation of aerosols into the COSPv2 satellite lidar simulator for climate model evaluation

Marine Bonazzola, Hélène Chepfer, Po-Lun Ma, Johannes Quaas, David M. Winker, Artem Feofilov, and Nick Schutgens

Abstract. Aerosols have a large impact on climate, air quality, and biogeochemical cycles. Their concentrations are highly variable in space and time, and a key variability is in their vertical distribution, because it influences atmospheric heating profiles, aerosols life-time and, as a result, surface concentrations, and because it has an impact on aerosol-cloud interactions. On the side of model-oriented aerosols research, using a lidar aerosol simulator ensures consistent comparisons between the modeled aerosols and the observed aerosols. In the current study, we present the lidar aerosol simulator implemented within the COSPv2 satellite lidar simulator. We estimate the total attenuated backscattered signal (ATB) and the scattering ratios (SR) that would be observed at 532 nm by the lidar CALIOP overflying the atmosphere predicted by the E3SMv1 climate model. The simulator performs the computations at the same vertical resolution as the CALIOP lidar, making use of aerosol optics from the E3SMv1 model as inputs, and assuming that aerosols are uniformly distributed horizontally within each model grid-box. It applies a cloud masking and an aerosol detection threshold, to get the ATB and SR profiles that would be observed above clouds by CALIOP with its actual aerosol detection capability. Our comparison shows that the aerosol distribution simulated at a seasonal timescale is generally in good agreement with observations, with however a discrepancy in the Southern Hemisphere, as the observed SR maximum is not reproduced in simulations there. Comparison between cloud-screened and non cloud-screened computed SRs shows little differences, indicating that the cloud screening by potentially incorrect model clouds does not affect the mean aerosol signal averaged over a season. Consequently, the differences between observed and simulated SR values are not due to sampling errors, and allow to point out some weaknesses in the aerosol representation in models. The use of lidar observations at several wavelengths can give further indication on the nature of the aerosols that need to be improved.

Journal article(s) based on this preprint

27 Feb 2023
Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation
Marine Bonazzola, Hélène Chepfer, Po-Lun Ma, Johannes Quaas, David M. Winker, Artem Feofilov, and Nick Schutgens
Geosci. Model Dev., 16, 1359–1377, https://doi.org/10.5194/gmd-16-1359-2023,https://doi.org/10.5194/gmd-16-1359-2023, 2023
Short summary

Marine Bonazzola et al.

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2022-438', Juan Antonio Añel, 21 Sep 2022
    • AC1: 'Reply on CEC1', Marine Bonazzola, 23 Sep 2022
      • CEC2: 'Reply on AC1', Juan Antonio Añel, 26 Sep 2022
  • RC1: 'Comment on egusphere-2022-438', Duncan Watson-Parris, 03 Oct 2022
  • RC2: 'Comment on egusphere-2022-438', Anonymous Referee #2, 10 Oct 2022

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2022-438', Juan Antonio Añel, 21 Sep 2022
    • AC1: 'Reply on CEC1', Marine Bonazzola, 23 Sep 2022
      • CEC2: 'Reply on AC1', Juan Antonio Añel, 26 Sep 2022
  • RC1: 'Comment on egusphere-2022-438', Duncan Watson-Parris, 03 Oct 2022
  • RC2: 'Comment on egusphere-2022-438', Anonymous Referee #2, 10 Oct 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Marine Bonazzola on behalf of the Authors (13 Dec 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (16 Jan 2023) by Graham Mann
AR by Marine Bonazzola on behalf of the Authors (25 Jan 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (25 Jan 2023) by Graham Mann
AR by Marine Bonazzola on behalf of the Authors (03 Feb 2023)  Author's response   Manuscript 

Journal article(s) based on this preprint

27 Feb 2023
Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation
Marine Bonazzola, Hélène Chepfer, Po-Lun Ma, Johannes Quaas, David M. Winker, Artem Feofilov, and Nick Schutgens
Geosci. Model Dev., 16, 1359–1377, https://doi.org/10.5194/gmd-16-1359-2023,https://doi.org/10.5194/gmd-16-1359-2023, 2023
Short summary

Marine Bonazzola et al.

Data sets

CALIOP lidar level L1.5 profiles NASA Langley Atmospheric Science Data Center DAAC https://doi.org/10.5067/CALIOP/CALIPSO/LID_L15-STANDARD-V1-00

CALIOP SR profiles Marine Bonazzola https://doi.org/10.13140/RG.2.2.32924.97929

CALIOP ATB profiles Marine Bonazzola https://doi.org/10.13140/RG.2.2.27891.81442

Model code and software

COSPv2 simulator Rodrigo Guzman, Hélène Chepfer https://github.com/CFMIP/COSPv2.0

Marine Bonazzola et al.

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Short summary
Aerosols have a large impact on climate. Using a lidar aerosol simulator ensures consistent comparisons between modeled and observed aerosols. In the current study, we present a lidar aerosol simulator that applies a cloud masking and an aerosol detection threshold. We estimate the lidar signals that would be observed at 532 nm by the lidar CALIOP overflying the atmosphere predicted by a climate model. Our comparison at the seasonal timescale shows a discrepancy in the Southern Hemisphere.