Articles | Volume 24, issue 1
https://doi.org/10.5194/acp-24-509-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.Exploring the ENSO modulation of the QBO periods with GISS E2.2 models
Download
- Final revised paper (published on 15 Jan 2024)
- Supplement to the final revised paper
- Preprint (discussion started on 15 May 2023)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Comment on egusphere-2023-774', Anonymous Referee #1, 04 Jun 2023
- AC1: 'Reply on RC1', Tiehan Zhou, 19 Sep 2023
-
RC2: 'Comment on egusphere-2023-774', Anonymous Referee #2, 06 Jun 2023
- AC2: 'Reply on RC2', Tiehan Zhou, 19 Sep 2023
-
RC3: 'Comment on egusphere-2023-774', Anonymous Referee #3, 15 Jun 2023
- AC3: 'Reply on RC3', Tiehan Zhou, 19 Sep 2023
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Tiehan Zhou on behalf of the Authors (20 Sep 2023)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (01 Oct 2023) by Peter Haynes
RR by Anonymous Referee #1 (15 Oct 2023)
RR by Anonymous Referee #2 (16 Oct 2023)

RR by Anonymous Referee #3 (18 Oct 2023)

ED: Publish subject to minor revisions (review by editor) (19 Oct 2023) by Peter Haynes

AR by Tiehan Zhou on behalf of the Authors (07 Nov 2023)
Author's tracked changes
Manuscript
EF by Svenja Lange (08 Nov 2023)
Author's response
ED: Publish subject to technical corrections (22 Nov 2023) by Peter Haynes

AR by Tiehan Zhou on behalf of the Authors (25 Nov 2023)
Author's response
Manuscript
Comments on “ENSO Modulation of the QBO Periods in GISS E2.2 Models” by Zhou et al.
Summary
In this study, the authors focus the possible impact of the ENSO on the QBO cycle using the observations and the model simulations from GISS E2.2. However, the modulation of the QBO cycle by the El Nino and La Nina is not consistent among the model configurations. The authors concluded that the model physics are important to simulate the impact of the ENSO on the QBO period. In general, the authors well explored the possible impact of ENSO on the QBO period. However, I also found some relevant concerns, which should be well addressed. Therefore, I suggest a major revision at the present time.
Major comments
1. The relationship between the ENSO and QBO should be well reviewed in the introduction. The possible impact of ENSO on the QBO amplitude and phase should mentioned. Further, ENSO and QBO phase coincidence should also be mentioned. Before 1980s, El Nino tends to appear during EQBO, and La Nina tends to appear during WQBO. After 1980s, El Nino tends to appear during WQBO, and La Nina tends to appear during EQBO (DOI: 10.1175/JCLI-D-19-0087.1; 10.1175/JCLI-D-20-0024.1).
2. Previous studies also found that the relationship between ENSO and QBO is not universal among models (DOI: 10.1175/JCLI-D-20-0024.1). This paper only emphasizes the possible impact of ENSO on the QBO, is there a possibility that the QBO can impact the ENSO occurrence and amplitude.
3. Further, this paper is too long and too dispersal and include too many contents. This paper is not aimed to evaluate the model configurations. However, the comparison between AMIP and CMIP simulations and that between SP and AP physics accounts for a large portion of the paper. I suggest to remove the experiments that fail to reproduce the impact of ENSO on the QBO period. Including those results that do not simulate a significant difference between the QBO periods during El Nino and La Nina, the paper is not convinced at all.
4. The paper should provide a section named “Data and method” or something like. Without a data description and experiment introduction, this paper reads weird and readers fail to find the experimental setup.
Other comments
1. L30, L43-45: There are too many papers concerning the possible impact of ENSO and QBO on the climate (DOI: 10.1175/JCLI-D-19-0663.1; 10.1029/2020GL089149; 10.1175/JCLI-D-20-0960.1). I suggest to include more recent publication in the citations.
2. L59-60: There are also some studies that focus on the possible impact of the QBO on ENSO. The authors should present some review.
3. L145-146: The ENSO amplitude in observations and CMIP models are not identical (DOI: 10.3878/AOSL20140055). If you use the same criterion, will the results be not convincing.
4. L153-154: Other studies also performed the EOF analysis for the QBO wind profiles (See Figure 3 in Rao and Ren 2018CD, doi: 10.1007/s00382-017-3998-x).
5. L168: Here is programming language. I suggest to use the science language: φ =atan(PC2/PC1)
6. L233: You should provide a detailed introduction for the calculation steps in a method section.
7. L254: modulates of => modelate (remove “of”)
8. L259: Section 3.1, and 3.2 : Should move to a method section.
9. L404-406: I also download historical runs from the GISS-E2 models for CMIP6. But I did not see the spontaneous QBO. Is the model in this paper same configured as for CMIP6?
10. Section 4.1: Should move to the method section.
11. L439-441: Can you explain why the relationship is not stable?
12. L475: help => helps
13. L495-497: Please also see Domeisen et al. 2019 (RG) and references therein.
14. L531-532: Most CMIP models simulate a smaller ENSO amplitude as compared with the observations (DOI: 10.3878/AOSL20140055). This model is different and simulate a stronger ENSO.
15. L588-593: This paragraph describes the ERA5 reanalysis and should be moved to the method section.
16. L591: during in => during
17. L605-606: This sentence repeats many times. You can provide a section describing the data and methods. There is no need to repeat the methods time by time.
18. L732-735: The ENSO amplitude has so larger a bias. To what extent can we trust the results?
19. L743, Figure 14: This figure is redundant and fail to connect with the topic of this study.
20. L760: Do you mean that none of the results are robust in this study? I also did not see that the QBOi also explore the ENSO modulation of the QBO cycle.