the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 01 Aug 2023
Measurement Report: Bio-physicochemistry of tropical clouds at Maïdo (Réunion Island, Indian Ocean): overview of results from the BIO-MAÏDO campaign
Abstract. The BIO-MAÏDO (Bio-physicochemistry of tropical clouds at Maïdo (Réunion Island): processes and impacts on secondary organic aerosols formation) campaign was conducted from the 13th of March to the 4th of April 2019 on the tropical Réunion Island and implied several scientific teams and state-of-the-art instrumentation. The campaign was part of the BIO-MAÏDO project with the main objective is to improve our understanding of cloud impacts on the formation of secondary organic aerosols (SOA) from biogenic volatile organic compounds (BVOC) precursors in a tropical environment. Instruments were deployed at five sites: a receptor site, the Maïdo observatory (MO) at 2165 m asl, and four sites along the slope of the Maïdo mountain. The obtained dataset includes measurements of the gas-phase mixing ratio of volatile organic compounds (VOC), the characterization of the physical, chemical, and biological (bacterial diversity) properties of aerosols and the characterization of the physical, chemical and biological (identification of viable bacteria through culture-based approaches) properties of the cloud water. In addition, the turbulent parameters of the boundary layer, radiative fluxes, and emissions fluxes of BVOC from the surrounding vegetation were measured to help with the interpretation of the observed chemical concentrations in the different phases. Dynamical analyses show two preferred trajectories routes for air masses arriving at MO during the daytime both corresponding to the return branches of the trade winds associated with the up-slopes thermal breezes. These air masses likely encountered cloud processing during transport along the slope. The highest mixing ratio of oxygenated VOC (OVOC) were measured above the site located in the endemic forest and the highest contribution of OVOC to total VOC at MO. Chemical composition of particles during the daytime shows a higher concentration of oxalic acid and a more oxidized organic aerosol at MO than at other sites along the slope. This is a signature of photochemical aerosols aging along the slope potentially influenced by cloud processing. Despite an in-depth analysis of organic compounds in cloud water, around 80 % on average of dissolved organic compounds is undefined highlighting the complexity of the cloud organic matter.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
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Supplement
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(5169 KB) - Metadata XML
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Supplement
(325 KB) - BibTeX
- EndNote
- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2023-1362', Anonymous Referee #1, 07 Sep 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1362/egusphere-2023-1362-RC1-supplement.pdf
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RC2: 'Comment on egusphere-2023-1362', Anonymous Referee #2, 30 Sep 2023
General
This is a comprehensive and really interesting measurement report (MR) on investigations of tropical clouds at Maido on the reunion Islands in 2019. See my second comment under 'details' for the approach.
I am not sure why this should be a 'measurement report' rather than a regular paper. Is that really the best choice ?
Other than this, I congratulate the authors for having untertaken this campaign and making the data available through this MR. I recommend acceptance subject to only minor amended discussions and some structural improvements according to my remarks below.
Details
Abstract: I feel the abstract is ok for a MR, giving an overview of the measurement results provided.
line 120 ff, section 2, paragraph 2.1: If I look at Figure 1, interestingly, the measurement station there are alingned along the main wid direction, so that possibly processing patters along the sequence ofs of stations fm Petite-Franc to the mobile lab to the Domaine des Orchidées sauvages to Hotel de Maido to Piste Omega and, finally, Maido observatory will become observable. However, I cannot find this thought in this early section and I clearly suggest to add this here, early in the manuscript.
Doesn't this natural set-up ask for checking the results on wether multiphase processing of gaes and particles can be observed ? Or is this beyond th scope of an MR `? But the authors are motivating their measurements here with the points (1) to (3), so maybe such a thought like 'processing along a Lagrange-typ trajectory' could be added ?
In the section 2.2. to 2.6 the above-mentioned measurement stations or observatories are described in detail with a a comprehensive description if the measurements possibilities and their sampling frequencies.
l 304: Are these average wind roses consistent with the arrow in Figure 1 which shows like north-west as the main wind direction ? If the stations are all subject to incoming westerly winds (during daytime), one would expect that they are all measuring the same. Then, a processing sequence would be difficult to obtain. In the time series where data were obtained, is there periodes when NW in flow prevailed ? Can you identify these periods ?
l268 ff, section 3.1: Foolwing my above comment: Is it the results of this section that March 16th and April 1st were clearly the best periods where a sequential passing of the station was identified ? Could you add a bit more in the present paper rather than mainly refering to Rocco et al (2022) ?
It would be great if this argumentation would be accessable in the MR alone. Re that Rocco et al Figure: Wouldn't March 31st be nearly a s good as April 1 ? What is the selection parameter ?
l 351: It is written that ...this simulation was typical and highlighted the good connection between the observation sites." Is a deeper analysis foreseen here ? Can the connection be proven also by gas phase or particle phase constituents' measurements ?
l 389: The VOC measurement contain a wealth of data and the authors are congratulated to have mesured this dataset. What about OVOC ? Are thes a separate dataset ? In line 404 Rocco at al (2020) is referenced which is on HCHO, which is a carbonyl - what about other carbonyl compounds ? Maybe VOCs and OVOC can be treated separately. The OVOC would be very important to follow VOC oxidation and they also link the gas phase oxidations to particle phase compositions.
l453: 'Aerosol': Maybe here subsections for the physical measurements and chemical aerosol particle characterisation can be introducted ?
l534 ff: The sections of Cloudwater and Biological systems also contain a wealth of data. It would be great to clearly state what has been analysed and if a deeper analysis is under prepearation and for what exactly . This way, the present MR could guide the reader for future evaluations which use the campaign data but which are not in the scope of this present MR.
Citation: https://doi.org/10.5194/egusphere-2023-1362-RC2 -
AC1: 'Comment on egusphere-2023-1362', Maud Leriche, 22 Dec 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1362/egusphere-2023-1362-AC1-supplement.pdf
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2023-1362', Anonymous Referee #1, 07 Sep 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1362/egusphere-2023-1362-RC1-supplement.pdf
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RC2: 'Comment on egusphere-2023-1362', Anonymous Referee #2, 30 Sep 2023
General
This is a comprehensive and really interesting measurement report (MR) on investigations of tropical clouds at Maido on the reunion Islands in 2019. See my second comment under 'details' for the approach.
I am not sure why this should be a 'measurement report' rather than a regular paper. Is that really the best choice ?
Other than this, I congratulate the authors for having untertaken this campaign and making the data available through this MR. I recommend acceptance subject to only minor amended discussions and some structural improvements according to my remarks below.
Details
Abstract: I feel the abstract is ok for a MR, giving an overview of the measurement results provided.
line 120 ff, section 2, paragraph 2.1: If I look at Figure 1, interestingly, the measurement station there are alingned along the main wid direction, so that possibly processing patters along the sequence ofs of stations fm Petite-Franc to the mobile lab to the Domaine des Orchidées sauvages to Hotel de Maido to Piste Omega and, finally, Maido observatory will become observable. However, I cannot find this thought in this early section and I clearly suggest to add this here, early in the manuscript.
Doesn't this natural set-up ask for checking the results on wether multiphase processing of gaes and particles can be observed ? Or is this beyond th scope of an MR `? But the authors are motivating their measurements here with the points (1) to (3), so maybe such a thought like 'processing along a Lagrange-typ trajectory' could be added ?
In the section 2.2. to 2.6 the above-mentioned measurement stations or observatories are described in detail with a a comprehensive description if the measurements possibilities and their sampling frequencies.
l 304: Are these average wind roses consistent with the arrow in Figure 1 which shows like north-west as the main wind direction ? If the stations are all subject to incoming westerly winds (during daytime), one would expect that they are all measuring the same. Then, a processing sequence would be difficult to obtain. In the time series where data were obtained, is there periodes when NW in flow prevailed ? Can you identify these periods ?
l268 ff, section 3.1: Foolwing my above comment: Is it the results of this section that March 16th and April 1st were clearly the best periods where a sequential passing of the station was identified ? Could you add a bit more in the present paper rather than mainly refering to Rocco et al (2022) ?
It would be great if this argumentation would be accessable in the MR alone. Re that Rocco et al Figure: Wouldn't March 31st be nearly a s good as April 1 ? What is the selection parameter ?
l 351: It is written that ...this simulation was typical and highlighted the good connection between the observation sites." Is a deeper analysis foreseen here ? Can the connection be proven also by gas phase or particle phase constituents' measurements ?
l 389: The VOC measurement contain a wealth of data and the authors are congratulated to have mesured this dataset. What about OVOC ? Are thes a separate dataset ? In line 404 Rocco at al (2020) is referenced which is on HCHO, which is a carbonyl - what about other carbonyl compounds ? Maybe VOCs and OVOC can be treated separately. The OVOC would be very important to follow VOC oxidation and they also link the gas phase oxidations to particle phase compositions.
l453: 'Aerosol': Maybe here subsections for the physical measurements and chemical aerosol particle characterisation can be introducted ?
l534 ff: The sections of Cloudwater and Biological systems also contain a wealth of data. It would be great to clearly state what has been analysed and if a deeper analysis is under prepearation and for what exactly . This way, the present MR could guide the reader for future evaluations which use the campaign data but which are not in the scope of this present MR.
Citation: https://doi.org/10.5194/egusphere-2023-1362-RC2 -
AC1: 'Comment on egusphere-2023-1362', Maud Leriche, 22 Dec 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1362/egusphere-2023-1362-AC1-supplement.pdf
Peer review completion
Journal article(s) based on this preprint
Data sets
BIO-MAÏDO campaing dataset Maud Leriche, Pierre Tulet, Laurent Deguillaume, Frédéric Burnet, Aurélie Colomb, Agnès Borbon, Corinne Jambert, Valentin Duflot, Stéphan Houdier, Jean-Luc Jaffrezo, Mickaël Vaïtilingom, Pamela Dominutti, Manon Rocco, Maxence Brissy, Maroua Fathalli, Nicolas Maury, Bert Verreyken, Crist Amelynck, Niels Schoon, Valérie Gros, Jean-Marc Pichon, Mickael Ribeiro, Eric Pique, Emmanuel Leclerc, Thierry Bourrianne, Axel Roy, Eric Moulin, Joël Barrie, Jean-Marc Metzger, Guillaume Péris, Christian Guadagno, Chatrapatty Bhugwant, Jean-Mathieu Tibere, Arnaud Tournigand, Evelyn Freney, Karine Sellegri, Anne-Marie Delort, Pierre Amato, Muriel Joly, Angelica Bianco, Guillaume Payen https://bio-maido.aeris-data.fr/catalogue/
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Cited
1 citations as recorded by crossref.
Pierre Tulet
Laurent Deguillaume
Frédéric Burnet
Aurélie Colomb
Agnès Borbon
Corinne Jambert
Valentin Duflot
Stéphan Houdier
Jean-Luc Jaffrezo
Mickaël Vaïtilingom
Pamela Dominutti
Manon Rocco
Camille Mouchel-Vallon
Samira El Gdachi
Maxence Brissy
Maroua Fathalli
Nicolas Maury
Bert Verreyken
Crist Amelynck
Niels Schoon
Valérie Gros
Jean-Marc Pichon
Mickael Ribeiro
Eric Pique
Emmanuel Leclerc
Thierry Bourrianne
Axel Roy
Eric Moulin
Joël Barrie
Jean-Marc Metzger
Guillaume Péris
Christian Guadagno
Chatrapatty Bhugwant
Jean-Mathieu Tibere
Arnaud Tournigand
Evelyn Freney
Karine Sellegri
Anne-Marie Delort
Pierre Amato
Muriel Joly
Jean-Luc Baray
Pascal Renard
Angelica Bianco
Anne Réchou
Guillaume Payen
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(5169 KB) - Metadata XML
-
Supplement
(325 KB) - BibTeX
- EndNote
- Final revised paper