Simulation of radon-222 with the GEOS-Chem global model: emissions, seasonality, and convective transport

Zhang, Bo; Liu, Hongyu; Crawford, James H.; Chen, Gao; Fairlie, T. Duncan; Chambers, Scott; Kang, Chang-Hee; Williams, Alastair G.; Zhang, Kai; Considine, David B.; Sulprizio, Melissa P.; Yantosca, Robert M.

doi:https://doi.org/10.5194/acp-21-1861-2021

Articles | Volume 21, issue 3

https://doi.org/10.5194/acp-21-1861-2021

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

https://doi.org/10.5194/acp-21-1861-2021

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

Articles | Volume 21, issue 3

Research article

|

10 Feb 2021

Research article |

| 10 Feb 2021

Simulation of radon-222 with the GEOS-Chem global model: emissions, seasonality, and convective transport

Bo Zhang, Hongyu Liu, James H. Crawford, Gao Chen, T. Duncan Fairlie, Scott Chambers, Chang-Hee Kang, Alastair G. Williams, Kai Zhang, David B. Considine, Melissa P. Sulprizio, and Robert M. Yantosca

Download

Final revised paper (published on 10 Feb 2021)
Supplement to the final revised paper
Preprint (discussion started on 24 Aug 2020)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Referee Comment', Anonymous Referee #1, 02 Sep 2020
- AC1: 'Reply to RC1', Hongyu Liu, 15 Dec 2020
RC2: 'comments', Anonymous Referee #2, 17 Sep 2020
- AC2: 'Reply to RC2', Hongyu Liu, 15 Dec 2020
AC3: 'Reply to Editor's comments', Hongyu Liu, 15 Dec 2020

Peer-review completion

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

AR by Hongyu Liu on behalf of the Authors (16 Dec 2020) Author's response Manuscript

ED: Publish as is (18 Dec 2020) by Yves Balkanski

Download

Article (12056 KB)
Full-text XML

Short summary

We simulate atmospheric ²²²Rn using the GEOS-Chem model to improve understanding of ²²²Rn emissions and characterize convective transport in the model. We demonstrate the potential of a customized global ²²²Rn emission scenario to improve simulated surface ²²²Rn concentrations and seasonality. We assess convective transport using observed ²²²Rn vertical profiles. Results have important implications for using chemical transport models to interpret the transport of trace gases and aerosols.