Articles | Volume 4, issue 4
https://doi.org/10.5194/wcd-4-963-2023
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
The monthly evolution of precipitation and warm conveyor belts during the central southwest Asia wet season
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- Final revised paper (published on 14 Nov 2023)
- Supplement to the final revised paper
- Preprint (discussion started on 07 Mar 2023)
- Supplement to the preprint
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Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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- RC1: 'Comment on egusphere-2023-388', Anonymous Referee #1, 13 Apr 2023
- RC2: 'Comment on egusphere-2023-388', Anonymous Referee #2, 29 Apr 2023
- AC1: 'Author Comment on egusphere-2023-388', Melissa Breeden, 12 Jun 2023
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AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Melissa Breeden on behalf of the Authors (12 Jun 2023)
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ED: Referee Nomination & Report Request started (04 Jul 2023) by Helen Dacre
RR by Anonymous Referee #2 (16 Aug 2023)
ED: Publish subject to revisions (further review by editor and referees) (16 Aug 2023) by Helen Dacre
AR by Melissa Breeden on behalf of the Authors (19 Sep 2023)
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ED: Publish as is (20 Sep 2023) by Helen Dacre
AR by Melissa Breeden on behalf of the Authors (28 Sep 2023)
Review of "The evolution of precipitation and warm conveyor belts during the central southwest Asia wet season" by Melissa L. Breeden, Andrew Hoell, John R. Albers, and Kimberly Slinski
General comments:
The present study by Breeden et al. investigates the seasonal evolution of precipitation over southwest Asia and the link of precipitation to warm conveyor belts and ENSO. The study first extensively compares different precipitation data sets and finds good agreement in terms of the timing of the peak precipitation. However, the data sets disagree concerning the precipitation amounts. The study continues with an analysis of the seasonal evolution and the comparison of days with little and heavy precipitation. Overall, the methods are sound, the text is well written, and the figures are clear. However, many of the conclusions remain rather vague and it is not upfront clear what the main novelty of the study is. Suggestions for further investigations that may help to strengthen the conclusions and to make this study distinct from other previous studies are given below.
Major specific comments:
1) I fully understand the authors' motivation to investigate the link of WCBs to precipitation since these are one of the most important rain producing system in midlatitudes. That being said it seems that other weather systems may be of similar or even larger importance in CSWA. For example, the climatological WCB frequency in Fig. 6 is mostly less than 8% and even during the 'wet' days the difference is only on the order of 25%. This makes the reader wonder which other rain producing systems are responsible for precipitation in the region (especially during wet days). At least a critical discussion of the potential role of other weather systems should be included in the manuscript.
2) The authors conclude that the modulation of WCB frequency by ENSO clarifies "the link between low-frequency circulation changes that ENSO produces, and the transient, short-lived nature of precipitation in this region". Though I generally agree with this interpretation it remains unclear whether it is the WCB frequency alone that leads to a reduction of precipitation or whether the WCBs that occur are associated with increased/reduced precipitation. To answer this question the authors may want to adapt an established approach (e.g., Catto et al. 2012, Hauser et al. 2020) that decomposes rainfall anomalies into changes in intensity and frequency.
3) Though the statistical link between ENSO and WCBs is clear, it remains unclear what the physical connection may be. Is the number of WCBs increasing during El Nino due to planetary Rossby waves excited by the tropical convection? Is the number enhanced due to higher SST that increase moisture in WCB inflow regions? Some explanation and analysis which establishes the dynamical link between ENSO and WCB activity in CSWA would definitely help to strengthen the conclusions. This is particularly necessary as other studies have investigated dynamical links between ENSO and CSWA rainfall (see introduction) and it is not clear what additional insight the present study provides.
Minor specific comments:
Title: To me, it is not upfront clear that "the evolution" means "the seasonal evolution". My suggestion is therefore to specify that the seasonal evolution is meant. Also, I am wondering whether it would be beneficial to specify that the study also considers quite extensively the variability of precipitation.
l. 14: I find it confusing that WCBs are chosen to represent "local vertical motion forcing". In my view, WCBs are rather a result of local vertical motion forcing than a representative of forcing. Perhaps just leave out the word "forcing"?
l. 19: The sentence "Precipitation intensity, duration, and the associated circulation patterns evolve...." remains quite unspecific. Be specific on how exactly they evolve/change as winter progresses. Clear statements will make it easier to identify the main conclusions and likely increase the visibility of the study.
l. 19: It would be helpful to indicate that it is the area-mean daily accumulation.
l. 21: What is meant with "heavy precipitation days"? Is this referring to days when the accumulation exceeds 4 mm? Please specify.
l. 23: The reader may wonder what is meant with "neither precipitation nor WCB change". Does this refer to intensity, duration or frequency changes? Please clarify.
l. 45: Rather use em-dashes than en-dashes.
l. 73: Is past-tense used on purpose here? In my view, present tense could be used in this and the following sentences as well.
l. 87 and elsewhere: Use en-dashes to indicate ranges between two values.
l. 87: Are the precipitation data sets used at their native grid spacing or is any kind of remapping performed?
l. 89: Can you specify how many rain gauges are actually located in Afghanistan? "Relatively few" is rather vague.
l. 92: Is ERA5 (and JRA55) really incorporating satellite-derived precipitation estimates? To my understanding, ERA5 precipitation is based on short-range forecasts of ECMWF's IFS system. Thus, the total precipitation in reanalyses is the sum of large-scale precipitation generated by the cloud scheme and convective precipitation generated by the convection scheme. To my knowledge precipitation estimates are only assimilated over the United States from 2009 onward.
l. 99: Can you provide some specific information concerning the number of stations in the country?
l. 103: What is the motivation for using a coarser resolution for streamfunction than for IVT?
l. 115: It would be very helpful to provide this information right at the beginning of section 2.1. Otherwise, the reader may wonder what the exact time period analysed in this study is.
l. 119: Does "probability curve" mean "probability distribution"/"probability density function"?
l. 135: Can you elaborate on why a coarser resolution would lead to higher means and standard deviation?
l. 143/Fig.3: Are the values accumulated over the entire period 1981-2020? If so would it not be easier to understand if you showed mean precipitation per month?
l. 180: I had difficulties to find the corresponding figure in Pfahl et al. 2014 showing the correspondence of precipitation and WCBs during spring. Just out of curiosity could you indicate the corresponding figure?
l. 180: "heavily related" is a rather qualitative statement. Could you indicate what percentage of precipitation is roughly related to WCBs? My interpretation of Fig. 7b in Pfahl et al. 2014 is that roughly 50% of precipitation in Afghanistan is linked to WCBs.
l. 247: Can you comment on how El Nino is linked to strengthened synoptic activity and moisture availability? I assume that global teleconnection patterns play an important role.
l. 257: Please double-check the usage of past and present tense.
l. 270: Can you comment on the moisture availability in this region which potentially effects the ascent of WCBs?
l. 278: As before it would be worthwhile to comment on how ENSO is dynamically linked to rainfall in CSWA.
l. 282: On a local scale I agree with this interpretation. But what circulation change modulates the occurrence frequency of WCBs in first place?
References:
Catto, J. L., Jakob, C., and Nicholls, N. (2012), The influence of changes in synoptic regimes on north Australian wet season rainfall trends, J. Geophys. Res., 117, D10102, doi:10.1029/2012JD017472.
Hauser, S, Grams, CM, Reeder, MJ, McGregor, S, Fink, AH, Quinting, JF. A weather system perspective on winter–spring rainfall variability in southeastern Australia during El Niño. QJR Meteorol Soc. 2020; 146: 2614– 2633. https://doi.org/10.1002/qj.3808