Articles | Volume 22, issue 1
Atmos. Chem. Phys., 22, 577–596, 2022
https://doi.org/10.5194/acp-22-577-2022
Atmos. Chem. Phys., 22, 577–596, 2022
https://doi.org/10.5194/acp-22-577-2022

Research article 14 Jan 2022

Research article | 14 Jan 2022

Assessing the value meteorological ensembles add to dispersion modelling using hypothetical releases

Susan J. Leadbetter et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-638', Anonymous Referee #1, 10 Sep 2021
    • AC1: 'Reply on RC1', Susan Leadbetter, 08 Nov 2021
  • RC2: 'Comment on acp-2021-638', Anonymous Referee #2, 14 Sep 2021
    • AC2: 'Reply on RC2', Susan Leadbetter, 08 Nov 2021
  • RC3: 'Comment on acp-2021-638', Anonymous Referee #3, 14 Sep 2021
    • AC3: 'Reply on RC3', Susan Leadbetter, 08 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Susan Leadbetter on behalf of the Authors (08 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (17 Nov 2021) by Anja Schmidt
RR by Anonymous Referee #1 (17 Nov 2021)
RR by Anonymous Referee #3 (22 Nov 2021)
ED: Publish as is (30 Nov 2021) by Anja Schmidt
Download
Short summary
In this study we look at the ability of meteorological ensembles (multiple realisations of the meteorological data) to provide information about the uncertainty in the dispersion model predictions. Statistical measures are used to evaluate the model predictions, and these show that on average the ensemble predictions outperform the non-ensemble predictions.
Altmetrics
Final-revised paper
Preprint