Automatic Detection of Rockslides Hidden Markov Models Review

Matthias Heck et al.

GNSS signal-based snow water equivalent determination for different snowpack conditions along a steep tiptop gradient

Achille Capelli, Franziska Koch, Patrick Henkel, Markus Lamm, Florian Appel, Christoph Marty, and Jürg Schweizer

The Cryosphere, 16, 505–531,

https://doi.org/10.5194/tc-16-505-2022,

https://doi.org/10.5194/tc-sixteen-505-2022, 2022

Short summary

Information-driven automatic predictions of the avalanche danger level for dry-snowfall conditions in Switzerland

Cristina Pérez-Guillén, Frank Techel, Martin Hendrick, Michele Volpi, Alec van Herwijnen, Tasko Olevski, Guillaume Obozinski, Fernando Pérez-Cruz, and Jürg Schweizer

Nat. Hazards Earth Syst. Sci. Discuss.,

https://doi.org/10.5194/nhess-2021-341,

https://doi.org/x.5194/nhess-2021-341, 2021

Revised manuscript nether review for NHESS

Short summary

Past and future trends in burn down weather for the UK

Matthew C. Perry, Emilie Vanvyve, Richard A. Betts, and Erika J. Palin

Nat. Hazards Globe Syst. Sci., 22, 559–575,

https://doi.org/10.5194/nhess-22-559-2022,

https://doi.org/ten.5194/nhess-22-559-2022, 2022

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Dammeier, F., Moore, J. R., Hammer, C., Haslinger, F., and Loew, S.: Automatic detection of alpine rockslides in continuous seismic data using hidden Markov models, J. Geophys. Res.-Globe, 121, 351–371, 2016. a

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Source: https://nhess.copernicus.org/articles/18/383/2018/nhess-18-383-2018-relations.html

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