Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.668 IF 5.668
  • IF 5-year value: 6.201 IF 5-year
    6.201
  • CiteScore value: 6.13 CiteScore
    6.13
  • SNIP value: 1.633 SNIP 1.633
  • IPP value: 5.91 IPP 5.91
  • SJR value: 2.938 SJR 2.938
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 174 Scimago H
    index 174
  • h5-index value: 87 h5-index 87
ACP | Articles | Volume 18, issue 17
Atmos. Chem. Phys., 18, 13031–13053, 2018
https://doi.org/10.5194/acp-18-13031-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 18, 13031–13053, 2018
https://doi.org/10.5194/acp-18-13031-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 11 Sep 2018

Research article | 11 Sep 2018

The importance of comprehensive parameter sampling and multiple observations for robust constraint of aerosol radiative forcing

Jill S. Johnson et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jill Johnson on behalf of the Authors (06 Aug 2018)  Author's response    Manuscript
ED: Publish subject to technical corrections (07 Aug 2018) by Patrick Chuang
AR by Jill Johnson on behalf of the Authors (17 Aug 2018)  Author's response    Manuscript
Publications Copernicus
Download
Short summary
We estimate the uncertainty in an aerosol–climate model that has been tuned to match several common types of observations. We used a large set of model simulations and built emulators so that we could generate 4 million “variants” of our climate model. Even after using nine aerosol and cloud observations to constrain the model, the uncertainty remains large. We conclude that estimates of aerosol forcing from multi-model studies are likely to be more uncertain than currently estimated.
We estimate the uncertainty in an aerosol–climate model that has been tuned to match several...
Citation