Corrigendum: Modelling the influence of coral-reef-derived dimethylsulfide on the atmosphere of the Great Barrier Reef, Australia

A corrigendum on
Modelling the influence of coral-reef-derived dimethylsulfide on the atmosphere of the Great Barrier Reef, Australia

by Jackson RL, Woodhouse MT, Gabric AJ, Cropp RA, Swan HB, Deschaseaux ESM and Trounce H (2022). Front. Mar. Sci. 9:910423. doi: 10.3389/fmars.2022.910423

Text Correction

In the published article, there was an error. The default seawater dimethylsulfide (DMS) climatology used in the ACCESS-AM2 simulations was incorrectly named as the Lana et al. (2011) climatology and should be Kettle et al. (1999). ACCESS-AM2 uses the GA7.1 configuration, in which the seawater DMS climatology is described as being updated from Kettle et al. (1999) to Lana et al. (2011) (Walters et al., 2019). Since publication, it was found that the model was still using the Kettle et al. (1999) climatology.

In the article, the influence of coral reef-derived DMS was investigated by calculating the difference between a control and experimental simulation which respectively prescribed seawater DMS concentration using the default climatology and a climatology derived for the GBR (Jackson et al., 2021). Using Kettle et al. (1999) as the default climatology does not affect the results, as the difference between the control and experimental simulations still reflects the influence of the coral reef DMS source. Further, no new seawater DMS measurements for the GBR region have been incorporated into newer climatologies (Lana et al., 2011; Hulswar et al., 2022) since Kettle et al. (1999).

A correction has been made to section 1 Introduction, paragraph 9. This sentence previously stated:

“Global climate models typically prescribe DMS_w concentrations using the Lana et al. (2011) monthly mean climatology. This climatology was derived from four decades of DMS_w observations over most of the global ocean (Kettle et al., 1999). However, very few observations were included for coral reef regions and extrapolation did not account for seasonal or spatial variability across coral reef flats and lagoon waters.”

The corrected sentence appears below:

“Global climate models typically prescribe DMS_w concentrations using the Kettle et al. (1999) or Lana et al. (2011) monthly mean climatologies. These climatologies were derived from more than three decades of DMS_w observations over most of the global ocean (Kettle et al., 1999). However, very few observations were included for coral reef regions and extrapolation did not account for seasonal or spatial variability across coral reef flats and lagoon waters.”

A correction has been made to section 2.2 Experimental design, 2.2.1 Seawater surface DMS concentration, paragraph 1. This sentence previously stated:

“In ACCESS-AM2, DMS_w is prescribed from the global Lana et al. (2011) monthly mean climatology, henceforth L11 (Figure 1A).”

The corrected sentence appears below:

“In ACCESS-AM2, DMS_w is prescribed from the global Kettle et al. (1999) monthly mean climatology, henceforth K99 (Figure 1A).”

The name of the default seawater DMS climatology should be “K99” instead of “L11” throughout the remainder of the article, including in Table 1, in the legends for Table 2 and Figures 1–4 in the main article, and in the legends for SI Figures 1, 2, 4, 5 in the Supplementary Material. The corrected Table 1, Table 2, and Figures 1–4 appear below.

Table 1

Table 1 Mean and range of observed and modelled DMSa (ppt or pmol mol-1) during the RVI, Mission Beach and Heron Island surveys of the R2R campaign [concentration (deviation from observed mean)].

Table 2

Table 2 Annual mean change [actual (percentage)] between the GBR DMS and K99 simulations area-averaged over north-eastern Australia.

Figure 1

Figure 1 Annual mean (A) DMSw and (B) DMS sea-air flux based on the K99 climatology, and the change in each variable due to the inclusion of (C) the GBR DMS climatology and (D) the GBR DMS climatology and coral-air DMS flux. The RVI path (black), Mission Beach (orange) and Heron Island (yellow) survey locations are shown in (A).

Figure 2

Figure 2 Time-series of observed (black) and modelled (left panels) DMSa and (right panels) wind speed for the K99 (orange) and GBR DMS (blue) simulations during the (A, D) RVI, (B, E) Mission Beach and (C, F) Heron Island surveys.

Figure 3

Figure 3 Annual mean (A) DMSa, (B) SO2 and (C) H2SO4 for the GBR DMS simulation, and (D–F) the percentage change in each variable between the GBR DMS and K99 simulations. The north-eastern Australian region (9.5-26°S; 135-155°E) for which the area-averaged changes are calculated for Table 2 is shown in red in panel (A).

Figure 4

Figure 4 Change in annual mean (A) SO2 and (B) H2SO4 between the GBR DMS and K99 simulations, when high anthropogenic SO2 emissions from north-eastern Australia have been removed.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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References

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