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The Cryosphere An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/tc-2020-368
https://doi.org/10.5194/tc-2020-368

  11 Jan 2021

11 Jan 2021

Review status: this preprint is currently under review for the journal TC.

Brief Communication: Initializing RAMMS with High Resolution LiDAR Data for Avalanche Simulations

James Dillon and Kevin Hammonds James Dillon and Kevin Hammonds
  • Department of Civil Engineering, Montana State University, Bozeman, MT 59717, USA

Abstract. The Rapid Mass Movements Simulator (RAMMS) is an avalanche dynamics software tool for research and forecasting. Since the model’s conception, the sensitivity of inputs on simulation results has been well-documented. Here, we introduce a new method for initializing RAMMS that can be easily operationalized for avalanche forecasting using high resolution LiDAR data. As a demonstration, hypothetical avalanche simulations were performed while incrementally incorporating semi-automated LiDAR-derived values for snow depth, interface topography, and vegetative cover from field-collected LiDAR data. Results show considerable variation in the calculated runout extent, flow volume, pressure, and velocity of the simulated avalanches when incorporating these LiDAR-derived values.

James Dillon and Kevin Hammonds

Status: open (until 08 Mar 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2020-368', Anonymous Referee #1, 22 Jan 2021 reply
  • RC2: 'Comment on tc-2020-368', Anonymous Referee #2, 27 Jan 2021 reply

James Dillon and Kevin Hammonds

James Dillon and Kevin Hammonds

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