An urban large-eddy-simulation-based dispersion model for marginal grid resolutions: CAIRDIO v1.0

Weger, Michael; Knoth, Oswald; Heinold, Bernd

doi:https://doi.org/10.5194/gmd-14-1469-2021

Articles | Volume 14, issue 3

https://doi.org/10.5194/gmd-14-1469-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-1469-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 3

Model description paper

|

15 Mar 2021

Model description paper |

| 15 Mar 2021

An urban large-eddy-simulation-based dispersion model for marginal grid resolutions: CAIRDIO v1.0

Michael Weger, Oswald Knoth, and Bernd Heinold

Download

Final revised paper (published on 15 Mar 2021)
Preprint (discussion started on 31 Oct 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'Review comments for gmd-2020-313', Anonymous Referee #1, 01 Dec 2020
RC2: 'Review gmd-2020-313', Anonymous Referee #2, 20 Dec 2020
AC1: 'Comment on gmd-2020-313', Michael Weger, 23 Jan 2021

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Michael Weger on behalf of the Authors (23 Jan 2021) Author's response Author's tracked changes Manuscript

ED: Referee Nomination & Report Request started (27 Jan 2021) by Christoph Knote

RR by Anonymous Referee #1 (27 Jan 2021)

ED: Publish subject to technical corrections (29 Jan 2021) by Christoph Knote

AR by Michael Weger on behalf of the Authors (02 Feb 2021) Author's response Manuscript

Short summary

A new numerical air-quality transport model for cities is presented, in which buildings are described diffusively. The used diffusive-obstacles approach helps to reduce the computational costs for high-resolution simulations as the grid spacing can be more coarse than in traditional approaches. The research which led to this model development was primarily motivated by the need for a computationally feasible downscaling tool for urban wind and pollution fields from meteorological model output.