Probabilistic calibration of avalanche block models
MetadataShow full item record
- NGI articles 
The Norwegian Geotechnical Institute (NGI) has been operating the full-scale avalanche test-site Ryggfonn in western Norway for more than 25 years. During those years, measurements from about three dozen dry-snow avalanches have provided information on front velocities and runout distances. Some of those measurements were used to calibrate a simple avalanche model following a well-defined probabilistic method.. Traditionally, model parameters of those kinds of models were evaluated from runout analysis disregarding any dynamics. The set of roughly 20 observed avalanches from one single path including, estimations of the front velocities at three points in the lower third of the track provided a unique opportunity for introducing uncertainty quantification methods for evaluating the performance of similar kind of competing models. We present the model calibration and results from the model performance testing.
PublisherMontana State University Library
SeriesThe International Snow Science Workshop (ISSW) Proceedings;
Showing items related by title, author, creator and subject.
Erharter, Georg; Weil, Jonas; Bacher, Lisa; Heil, Frédéric; Kompolschek, Peter (Peer reviewed; Journal article, 2023)
Skau, Kristoffer Skjolden (NGI Rapport;20150014-04-R, Report, 2017-01-20)The report presents a macro elements model developed to calculate p-y soil and foundation response during cyclic loading. The concept of parallel coupling of linear elastic perfectly plastic sub-models. One is model ...
A Boussinesq type extension of the GeoClaw model - a study of wave breaking phenomena applying dispersive long wave models Kim, Jihwan; Pedersen, Geir Kleivstul; Løvholt, Finn; LeVeque, Randall J. (Peer reviewed; Journal article, 2017)The nonlinear shallow water model is widely used in the study of tsunami propagation, but an increasing number of studies are dedicated to the dispersion dynamics of tsunamis. If the wave dispersion becomes important, ...