Articles | Volume 19, issue 3
https://doi.org/10.5194/os-19-703-2023
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
Ocean color algorithm for the retrieval of the particle size distribution and carbon-based phytoplankton size classes using a two-component coated-sphere backscattering model
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- Final revised paper (published on 26 May 2023)
- Supplement to the final revised paper
- Preprint (discussion started on 14 Jun 2022)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on egusphere-2022-430', Anonymous Referee #1, 01 Aug 2022
- AC1: 'Reply on RC1', Tihomir Kostadinov, 13 Nov 2022
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RC2: 'Comment on egusphere-2022-430', Emmanuel Boss, 14 Aug 2022
- AC2: 'Reply on RC2', Tihomir Kostadinov, 13 Nov 2022
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Tihomir Kostadinov on behalf of the Authors (20 Feb 2023)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (01 Mar 2023) by Aida Alvera-Azcárate
RR by Anonymous Referee #1 (31 Mar 2023)
ED: Publish as is (07 Apr 2023) by Aida Alvera-Azcárate
AR by Tihomir Kostadinov on behalf of the Authors (10 Apr 2023)
Author's response
Manuscript
General comment
This study attempts to retrieve from space (ocean color satellite data) information on particle size distribution and carbon-based phytoplankton size classes in open ocean waters. This significant piece of work is actually the extension of previous studies (Kostadinov et al. 2007-2022) which includes validation results. The manuscript is well organized, written and illustrated.
Unfortunately, these validation results are not convincing, most probably as several assumptions made in the methodology are not valid. The authors should carefully revise the assumptions made notably to model the particle size distributions and discuss the impact on the resulting satellite-derived products. Detailed comments are provided hereafter to clarify the methodology and discuss the validation results.
Detailed comments
Line 45, Equation 1:
To my knowledge this very convenient power law size distribution of particles does not apply to phytoplankton particles in oceanic waters. Can you please provide relevant references to support your statement?
Line 53:
Again, probably the main/major issue in this study: phytoplankton cells in oceanic waters DO NOT follow a power-law PSD. If I am wrong please prove it based of already published quality field data.
Line 64:
“a single population of particles (approximated by homogeneous spheres)”
This is another strong assumption which definitely does not apply to phytoplankton cells in in marine waters. Please discuss it and say what is the impact in your methodology.
Line 85:
Where do minerogenic particles come from in open ocean waters?
Line 93 ‘an initial effort of validation’:
Such an effort to at least first validate the assumptions made in your recent and present studies and notably validate the PSD algorithm should have been made already, before going forward applying non-validated algorithms to satellite data and interpret the results obtained
Line 98 ‘backscattering are modeled using Mie theory (Mie, 1908) for homogeneous spherical particles and the Aden-Kerker (Aden and Kerker, 1951) method for coated spheres.’:
Is Mie theory well adapted to your study?
What not considering also the more realistic case of non-spherical particles?
Line 138 ‘The two key assumptions are: 1) Phytoplankton and NAP have a power-law PSD (Eq. 1) with the same slope ξ’
Once again, I do not agree for phytoplankton. Moreover why the same slope?
Tables 1 and 2:
Please justify the choice of the minimum, mean and maximum values considered here as inputs. Are your computations realistic??
Line 218:
Define LISST
Figure 8 ‘PSD validation results’:
Thank you for showing these validation results which are not satisfactory, as could be expected considering that several assumptions made are (most probably) not valid.
While there is somehow an agreement (or at least a trend) between the satellite and situ No (number of particles), there is no correlation for the slope, therefore no validation of the satellite-derived PSD, assuming the PSD is a power-law.
These poor validation results must be discussed so as its implication on the whole methodology. What would be the results if another (more realistic) function was used to model the PSD?
Figure 10:
These validation results are more convincing. Please specify in the figure legend what you mean by ‘empirical tuning’.
Figure 11.
As in Figure 8, poor validation results.