Mountain Hydrology and Mass Movements Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
Per-Erik Jansson
Department of Land and Water Resources Engineering, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden
Department of Geosciences, University of Fribourg, Chemin du Musée 4, 1700 Fribourg, Switzerland
Manfred Stähli
Mountain Hydrology and Mass Movements Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
Viewed
Total article views: 4,019 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,632
1,283
104
4,019
89
133
HTML: 2,632
PDF: 1,283
XML: 104
Total: 4,019
BibTeX: 89
EndNote: 133
Views and downloads (calculated since 15 Mar 2021)
Cumulative views and downloads
(calculated since 15 Mar 2021)
Total article views: 2,931 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,033
810
88
2,931
81
126
HTML: 2,033
PDF: 810
XML: 88
Total: 2,931
BibTeX: 81
EndNote: 126
Views and downloads (calculated since 26 Aug 2021)
Cumulative views and downloads
(calculated since 26 Aug 2021)
Total article views: 1,088 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
599
473
16
1,088
8
7
HTML: 599
PDF: 473
XML: 16
Total: 1,088
BibTeX: 8
EndNote: 7
Views and downloads (calculated since 15 Mar 2021)
Cumulative views and downloads
(calculated since 15 Mar 2021)
Viewed (geographical distribution)
Total article views: 4,019 (including HTML, PDF, and XML)
Thereof 3,779 with geography defined
and 240 with unknown origin.
Total article views: 2,931 (including HTML, PDF, and XML)
Thereof 2,809 with geography defined
and 122 with unknown origin.
Total article views: 1,088 (including HTML, PDF, and XML)
Thereof 970 with geography defined
and 118 with unknown origin.
Soil moisture information was shown to be valuable for landslide prediction. Soil moisture was simulated at 133 sites in Switzerland, and the temporal variability was compared to the regional occurrence of landslides. We found that simulated soil moisture is a good predictor for landslides, and that the forecast goodness is similar to using in situ measurements. This encourages the use of models for complementing existing soil moisture monitoring networks for regional landslide early warning.
Soil moisture information was shown to be valuable for landslide prediction. Soil moisture was...