Streamflow Estimation in a Mediterranean Watershed Using Neural Network Models: A Detailed Description of the Implementation and Optimization
Round 1
Reviewer 1 Report
Streamflow estimation in a Mediterranean watershed using neural network models: a detailed description of the implementation and optimization
It focuses on streamflow estimation in a small watershed in Portugal and compares the performance of three different neural network models. The authors addresses a very interesting topic. The manuscript is very well written and clear, with figures and tables that support the applied methodologic.
It is unclear what is the gap in the knowledge that is to be addressed by this paper, or what is the novelty of the study compared to the others already existing on this topic.
I recommend the revision of figure 1, where within the location in Portugal it should be done in a more representative way (for example, by introducing the limits of the basins of order 5 and the studied basin in a different colour), and for the map with the studied basin, I recommend changing the colour of the altitudinal classes, where the highest class, over 450 m, is represented as the mountain area, and in the legend, I recommend changing the ~water lines~ in ~river network~.
The same recommendations are for figure 2, but there are still symbols on the map that I think belong to the transport network that can be removed, possibly the base map used can be changed.
For a better understanding of how the methodology was applied, I recommend the authors introduce a logical scheme.
In the sub-chapter regarding input variables, I recommend to mention how the other control factors are fulfilled because in the analysis only daily precipitation and temperatures are analyzed.
Please add some limitations to the application of the methodology.
Author Response
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Reviewer 2 Report
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