Boreal summer intraseasonal oscillation in a  superparameterized general circulation model:  effects of air–sea coupling and ocean mean state

Gao, Yingxia; Klingaman, Nicholas P.; DeMott, Charlotte A.; Hsu, Pang-Chi

doi:https://doi.org/10.5194/gmd-13-5191-2020

Articles | Volume 13, issue 11

https://doi.org/10.5194/gmd-13-5191-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-13-5191-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 11

Model experiment description paper

|

02 Nov 2020

Model experiment description paper |

| 02 Nov 2020

Boreal summer intraseasonal oscillation in a superparameterized general circulation model: effects of air–sea coupling and ocean mean state

Yingxia Gao, Nicholas P. Klingaman, Charlotte A. DeMott, and Pang-Chi Hsu

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Final revised paper (published on 02 Nov 2020)
Preprint (discussion started on 24 Apr 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'no subject', Anonymous Referee #1, 22 May 2020
- RC2: 'Review of Boreal summer intraseasonal oscillation in a superparameterized GCM: effects of air-sea coupling and ocean mean state', Anonymous Referee #2, 06 Jul 2020
  - AC2: 'Response to Reviewer#2', Pang-Chi Hsu, 23 Aug 2020
- AC1: 'Response to Reviewer#1', Pang-Chi Hsu, 23 Aug 2020

Peer-review completion

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

AR by Pang-Chi Hsu on behalf of the Authors (23 Aug 2020) Author's response

ED: Publish as is (22 Sep 2020) by Richard Neale

Short summary

Both the air–sea coupling and ocean mean state affect the fidelity of simulated boreal summer intraseasonal oscillation (BSISO). To elucidate their relative effects on the simulated BSISO, a set of experiments was conducted using a superparameterized AGCM and its coupled version. Both air–sea coupling and cold ocean mean state improve the BSISO amplitude due to the suppression of the overestimated variance, while the former (latter) could further upgrade (degrade) the BSISO propagation.