Unexpected quasi-independence of colored dissolved organic matter absorption from chlorophyll-a concentration in the Southern Ocean
Abstract. The absorption coefficient of colored dissolved organic matter (CDOM), ay, plays a critical role in driving ocean optical properties and so light attenuation and light-dependent biogeochemical cycles. In the Southern Ocean (SO), however, ay remains poorly documented because of the scarcity of in situ measurements and the absence of suitable bio-optical models. To address this gap, we derived ay in surface waters from the diffuse attenuation coefficient (Kd) derived from radiometric measurements performed by Biogeochemical-Argo floats. Sensitivity analyses indicated that the uncertainty of our estimates is mainly driven by Kd, with an overall ∼ 18 % uncertainty of ay at 380 and 412 nm based on a Monte Carlo approach. The relationships we obtained between ay and Chl in low-latitude waters are consistent with previous studies but diverge in the SO, with a much weaker dependence on Chl and a larger relative contribution to the absorption budget for clear waters. Possible reasons for this different contribution include CDOM release by sea ice melting, CDOM enrichment of surface layers through deep winter mixing, adaptation of phytoplankton physiology to cold waters and reduced photo degradation during the polar winter.
Review of: ‘Unexpected quasi-independence of colored dissolved organic matter
absorption from chlorophyll-! concentration in the Southern Ocean’ by Li et al.
Reviewer: Emmanuel Boss, UMaine.
This paper investigates the relationship between CDOM (the absorbing part of DOM) and chlorophyll using BGC-Argo data. A simple bio-optical model to decompose the contributions to the diffuse attenuation of the measured irradiance is used with additional inputs from the chlorophyll fluorometer and backscattering sensors on the float. For each wavelength a CDOM estimate is computed and compared to chlorophyll to investigate how they relate both in the SO as well as further north.
The subject of the paper is very interesting and pertinent as there is currently a debate regarding the skill of remote sensing retrievals in the SO. Understanding why they may not work, such as if assumption in them are wrong, would help advance the science we can do from remote sensing in the SO by removing biases.
The paper is relatively clearly written though the notation/formatting could be significantly improved to avoid confusion and make it easier to read (for example CDOM, the subject of the paper, is written as a_y, ay and a_y, see attached pdf). Such sloppiness in the notation of the subject of the paper does not reflect well on the author (two of which I know well and are excellent and careful scientists).
I have some significant comments that I feel, if addressed, will significantly improve this manuscript. I am also returning an annotated PDF.
Dear authors: I am often wrong. If you feel that my comments are off the mark, please contact me and I would be happy to change them if convinced.