Articles | Volume 18, issue 23
https://doi.org/10.5194/gmd-18-9879-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
r.avaflow v4, a multi-purpose landslide simulation framework
Download
- Final revised paper (published on 10 Dec 2025)
- Preprint (discussion started on 06 Feb 2025)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Comment on egusphere-2025-213', Anonymous Referee #1, 22 May 2025
- AC1: 'Final response on egusphere-2025-213', Martin Mergili, 01 Jul 2025
-
RC2: 'Comment on egusphere-2025-213', Anonymous Referee #2, 06 Jun 2025
- AC1: 'Final response on egusphere-2025-213', Martin Mergili, 01 Jul 2025
- EC1: 'Comment on egusphere-2025-213', Andy Wickert, 24 Jun 2025
- EC2: 'Comment on egusphere-2025-213', Andy Wickert, 24 Jun 2025
- AC1: 'Final response on egusphere-2025-213', Martin Mergili, 01 Jul 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Martin Mergili on behalf of the Authors (27 Aug 2025)
Author's response
Author's tracked changes
Manuscript
ED: Publish subject to technical corrections (02 Nov 2025) by Andy Wickert
AR by Martin Mergili on behalf of the Authors (21 Nov 2025)
Manuscript
Dear Editor,
I have read and review the manuscript r.avaflow v4, a multi-purpose lansdslide simulation framework with great enthausiasm.
It represent a great innovation in the landslide modelling field, together with an open source code where everbody is able to apply these innovations for analysis and assessment. Overall a great read, and a major landmark paper in the landslide modelling field.
It should definitely be published by the journal, and I will personally use the contents in further research substantially.
It features a thorough testing of the software and model implementation, with detailed considerations, thorough testing and case studies, as well as illustrative figures. Though, some of the derivations seem to be derived somewhat idealistic.
I do have some suggestions for the authors to adapt and perhaps improve the text, which are given below:
Introduction: It might be good to get a single paragraph describing also the state of other modelling developments, and how these deal with these issues. For most, r.avaflow4 seems a unique and novel solution, but perhaps not all. There are windows-based systems with interfaces, with nicer visualization. The challenges are now perhaps a bit too focused on r.avaflow4
Line 55: with rather unsuccessful earlier attempts to create a powerful Windows-based stand-alone version of the tool
I would remove this, you are offering a great tool, and the fact this didn’t work out shouldn’t matter to the reader here.
Line 67: I would rewrite this a bit (Basically, it transports mass and momentum of up to three phases through a regular grid. -> The model applies physically-based equations to estimate and calculate numerically the motion of mass and momentum of up to three phases...)
2.2: I get the continuity derived basic advection framework of the euqations is a bit duplicate, but it might be good to explicitly define the three phases at least for the reader here., with a small figure with definitions of phases, velocities/grid
Line 105: Will there be a warning? Or is the scope of realistic parameter combinations difficult to detect (That seems very possible to me, although basic errors should be simple)
Table 1: Might I suggest putting the parameter explenations below the relevant equations, or right next to it? Now its hard to read the table and go back and forth to the small table caption.
Table 1: Can the ambient drag coefficient be spatially distrinct? Is there a parameter that can be used to depend on land cover variations for energy loss in fluid like flows (forest vs grassland for example?)
Line 140: I read this as meaning the phases are separated to form the individual layers? But that seems to come with more complications mathematically for the momentum transfer between these layers. Can individual layers be multi-phase? Now the term layer and phase are mixed and were a bit confusing to me.
Line 155 – 165: I am not completely against this approach here. Data collection and lab results would be prohibitively difficult, but currently this could use a rephrasing I think. Principle i) seems somewhat strange to me, layer surface elevation or layer absolute height? I sort of see a geometric explanation for why this increase with the angle of the interface would work to replace the general drag force normally used by the authors, but in my mind assuming the drag coefficient is 1 for a vertical interface breaks some of the original assumptions in the derivation of the drag coefficient in the earlier works of the authors.
2.5: How do the authors deal with the often observed influence of the increasing and decreasing pore pressures during the compression and spread of slow-movinglandslides?
It seems now the dynamic pore pressure is not a remaining contribution to the momentum equations? I do like the approach to accommodate more types of movements, but this limitation might be mentioned or explored?
2.6:It would be nice to see a figure here with an example already (even though its shown later in the manuscript)
Table3: I find this table not so needed in the full story. I think the point is made well by the sentences above it.
4.1: To what extent is the discretization of the layers a major influence on the final output? Now these discrete layers move separately as units, but could you remark on the balance between the influence of the modle assumptions/numerics here vs the physics of such a hypothetical slide?
Line 365: Very good visualization of the differences. I would perhaps want to ask the authors to clarify if they think the 2-layer approach would be the only valid one for such flows, or could, a single-layer approach with non-fragmented physics, potentially get equal behavior?
Line 480: Would it be possible to detail somewhat more the numerical scheme in an appendix, as its mentioned several times, and provides some of the key observations in the application cases. Besides the citation from Tai et al., these types of models nearly always require particular details for their numerical solution. I do agree with the point, that diffusion is a necessary, and unfortunate by-product of these schemes. Although approaches with SPH are, as the authors say, perhaps needlessly complex. A potential direction could be a consideration of the non-linearity/non-smoothness of the terrain and layer data. Discontinuities of a landscape in flood models require particular attention in terms of hydrostatic reconstruction and flux limitation as to prevent diffusivity of the flows.