|I appreciate the efforts the authors have made to answer my comments, in particular the addition of ERA5 data and the time series of Chl-a and SST. The new analysis of ERA5 allows to clarify that the different behavior between QUICKScat and ASCAT is not due to instrumental issues but to variability (Figure 8). Nevertheless there are a couple of important issues that should be addressed. In general I think the results do not support robust conclusions. I understand that it could be difficult and that maybe other statistical approaches should be followed. Therefore, in general I would suggest to moderate the conclusions. For instance, the results indicate that LAP/HAP system may affect the nightime heatwaves, but it is by no means demonstrated.|
In the analysis of the EOFs is stated (L240) that " The southerly and northerly winds were associated with the passage of intense HAP (Fig. 7a) and LAP (Fig. 7b) systems, throughout the study region." and in (L396) " LAP and HAP systems dominated mode 1 of the EOF, contributing 30 % of the total variance (Fig. 3-6). In this mode, southerlies related to the passage of HAP systems, and northerlies produced by LAP systems (Fig. 7)" . But this has not been demonstrated at all. The EOF patterns do not show anything similar to a HAP/LAP structure. This should be rewritten throughout the paper.
The comparison of time series of Chl-a and SST with respect to Ekman Transport (Figure 11) shows relatively low correlation (section 3.2), with values of around 0.3. Therefore, it can't be concluded that EP/ET are the responsible of Chl-a and SST variations. This should be acknowledged in the abstract and discussion.
In Section 3.3 the figure 12 is analysed. I repeat my comment, I don't think the figure demonstrates solar radiation drives the diurnal cycle of SAT. The maximum is shifted: maximum solar radiation is at 14h while maximum SAT is at 16h. In any case, the interest of this section is not the diurnal maximum but the night heat waves, so that part could be removed.
Regarding night heat waves, the mechanism driving them is not clear, as was pointed out in my previous review. Correlation between atmospheric pressure and air temperature (Figure 13), seems too high for what is shown in the figure. It is difficult to compare both time series as it is presented. Maybe plotting both time series in the same plot (i.e. normalized or using different y axis) would help to clearly show that both time series are correlated. As it is shown now it is hard to see that both time series are correlated at the 0.96 level as is stated in the figure title.
Moreover, the relating SAT and atmospheric pressure is not probably the right way to confirm that winds are the responsible of night heatwaves. Pressure is only related to winds through the gradients, not the absolute value. In the previous review I suggested to use some statistics as composite images associated with nighttime heat wave periods or to show histograms of wind components in the periods when night heatwaves occured. In any case , to show only two hand-picked cases is not robust enough to conclude that LAP systems are the responsible for night heatwaves, as is stated in the abstract.
Abstract. It is stated that between 41-43ºS Ekman Pumping dominates in spring-summer, but from Figure 10 it looks the opposite. Total Transport is clearly driven by Ekman Transport, but in spring-summer it changes its sign with respect to what happens in the other locations/seasons. In any case, Ekman Pumping is similar in the three locations and secondary.
The computation of the wind curl is only done over the sea, while in coastal areas this means losing data points. I think the authors could compute it with ERA5 to get something more reliable in the coastal area.
Figure 11, the figure caption should mention from which point are the time series extracted.
In figure 12 (before figure 9), I don't understand yet what panels g and h represent. The authors haven't done any modification on that, in spite of what they answer in the reply. By elimination I deduce they refer to maximum SAT , but it is not clear what maximum refers to. Is it the maximum measured in the whole observational period? The daily maximum?.