Anderson et al (Divergence of actual and reference evapotranspiration observations for irrigated sugarcane with windy tropical conditions) reported the divergence between actual and reference ET at the windy tropical irrigation fields in the manuscript. I also have read the resubmitted manuscript and the comments by the first two reviewers, as well as the authors’ replies to each comment. Overall, I think that the paper will be useful contribution and the subject matter should be of interest to the HESS readers. Especially decoupling between VPD and ET measurements (also decoupling between atm forcing and soil moisture by irrigation) indicates that very unique stomatal responses of irrigated sugarcanes in this humid and windy environment. I recommend the minor revision with some suggestions and concerns, which I would leave on the authors’ or the editor’s choice.
First, I start with the points posed by the first reviewer. As the authors pointed out in their reply, underestimation of EC based ET is mostly related to frequent rainfall events, which might not be a big problem in this study. Also, the high energy closure (like 97%) was reported in these sites (especially in Windy site, where huge discrepancies among different ET estimates were reported), so I think that EC based estimates are more close to the truth. I don’t think that it can be a reason to reject the manuscript considering the interesting point of the manuscript and their hard works. EC methods were validated in several irrigated fields as the authors mentioned, so I think that citations would be enough. However, it would have been much easier for the authors to have installed several simple lysimeters in the site (especially Windy site) to get another estimates from mass balances in spite of their spatial heterogeneity. I recommend to include the cumulative irrigation+rainfall plots in Figure 5 in the manuscript, which would show at least that the EC measurements are not out of ranges of the mass balances.
Second, the P-T methods were said to be close the EC-based measurements in the cumulative basis. However, I recognized from Figure 5 that their seasonal patterns of all ET estimates are quite different especially for the Windy site. At the Lee site, EC measurements (Figure 5a) followed the P-T ET patterns (Figure 5d), although the amplitude were damped a little. However, those at the Windy site did not. They did not follow the other microclimate measurements, such as wind velocity and temperature (Figure 4). Rather, they seemed to follow the growth of vegetation (as a form of higher vegetation or LAI values) even during the so-called ‘mid-period’. I am not sure that the authors can say that the P-T method was the more accurate method than others just from the totals because it still did not simulate the seasonal patterns well. I think that there should have been explanations regarding this discrepancy. The Windy site has higher wind velocity throughout the season than the Lee site with the sandier soils (more exfiltration I guess) (Table 1). I think that that that explained not just the higher ET measurements and estimates in total, but also its temporal patterns, which might be affected by vegetation height. It was not clear in the manuscript whether the authors incorporate the growing vegetation height in their ET calculation (especially for P-M ET estimates). Note that vegetation cover (%) is not a good indicator to assess the maturity especially in these high density irrigation fields. They can grow in LAI or height values significantly even after 80% vegetation cover. If the authors have some temporal measurements of LAI values, vegetation heights, or other remote sensing datasets (e.g. MODIS NDVI), that would be helpful to find out why. I think that this can be also a key to explain the difference between the two sites in term of the temporal patterns.
In addition, the damped seasonality in EC-ET compared to P-T ET estimates (Figure 5) has been reported as a form of seasonality of the alpha parameter in P-T equations in grasslands and irrigated fields (e.g. Ryu et al. 2008; Ding et al. 2013), as a form of non-linear response of alpha with vegetation seasonality or canopy conductance values. Please add this point with the citations somewhere in discussion.
Third, although the manuscript is generally well-written and quite easy to follow, but still I think that there are some issues in its organization. I can see some addition new methods kept coming (P13 L27 , P14 L10, P14 L23, P15 L1) in Results and Discussion sections. It might be an authors’ choice in writing style, but there are fairly good reasons why most papers are following a strict rule of its organizations (introduction - methods- results - discussion). Please put some technical details into the SI.
Specific point
1. The terms
The term ‘mid-period’: Is this a generally used term in the irrigated field? I am not sure whether this can deliver some information to the readers. ‘Peak growing season’ or ‘maturity season’ would be better if it is not a general term.
P18 L25: The term ‘effective LAI’. It seems that this term is generally used in the calculation of canopy bulk resistance in agricultural fields. But note that this term originally devised to explain the difference between optical measurements (by LAI-2000 or other optical instruments) and actual LAI values (Chen 1996), usually called as a clumping index. It looks more like sunlit LAI values to me. Now, the authors may realize that I mostly have research experience in forests.
P5 L1: Should be italic
P9 L27: Put comma after ‘Finally’
P10 L30 and afterward: The plus-minus-together sign would be better for standard error values
P16 L28-31: I agree.
P17 L9-15: I agree.
P21 L2: I agree.
About the Figures: It is quite difficult to match between graphs because they are using different x-axes scales; dates and DAP (dates after plantations). In this study, crop seasonality is not matching with that of climate, which make it worse. Please just use date, and DAP can be featured by shaded region. I am not sure that the authors need to show some figures in the end (Figure 9 and 11). It would be enough to put them in the Supplementary Information.
References
Ryu, Y., D. D. Baldocchi, S. Ma, and T. Hehn (2008), Interannual variability of evapotranspiration and energy exchange over an annual grassland in California, J. Geophys. Res., 113, D09104, doi:10.1029/2007JD009263.
Ding, Risheng, et al. "Evapotranspiration measurement and estimation using modified Priestley–Taylor model in an irrigated maize field with mulching."Agricultural and Forest Meteorology 168 (2013): 140-148.
Chen, Jing M. "Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands." Agricultural and Forest Meteorology80.2 (1996): 135-163. |