The manuscript describe a couple of software for the simulation of rapid geophysical mass flow. Both of them are Open Source and both of them are made available through a dedicated web page. Moreover they are made available as modules for one of the leading existing open source GIS (GRASS GIS) or as stand-alone codes. This make the software interesting both for scientists and professionals. The GRASS GIS version, for scientists, is made using an efficient mixture of C, python and R and is suitable for PeerJ Computer Science, in particular for the subjects concerning “Spatial and Geographic Information Systems” and “Scientific Computing and Simulation”. Even if some parts of the software have been already discussed in other journals this manuscript proves to be relevant since it performs a comparative description of the two models. Given the limits to the maximum lengths of the manuscripts for the OGRS2016 symposium, authors do not had enough space for the description of the usecase using both the modules. In fact only the r.randomwalk calibration has been described. I think that expanding the manuscript with a full comparison of the results obtained also using r.avaflow and r.randomwalk on a chosen test area will be of certain interest for PeerJ Computer Science journal.
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