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: 4,053 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,649
1,296
108
4,053
90
137
HTML: 2,649
PDF: 1,296
XML: 108
Total: 4,053
BibTeX: 90
EndNote: 137
Views and downloads (calculated since 15 Mar 2021)
Cumulative views and downloads
(calculated since 15 Mar 2021)
Total article views: 2,959 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,048
819
92
2,959
82
128
HTML: 2,048
PDF: 819
XML: 92
Total: 2,959
BibTeX: 82
EndNote: 128
Views and downloads (calculated since 26 Aug 2021)
Cumulative views and downloads
(calculated since 26 Aug 2021)
Total article views: 1,094 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
601
477
16
1,094
8
9
HTML: 601
PDF: 477
XML: 16
Total: 1,094
BibTeX: 8
EndNote: 9
Views and downloads (calculated since 15 Mar 2021)
Cumulative views and downloads
(calculated since 15 Mar 2021)
Viewed (geographical distribution)
Total article views: 4,053 (including HTML, PDF, and XML)
Thereof 3,813 with geography defined
and 240 with unknown origin.
Total article views: 2,959 (including HTML, PDF, and XML)
Thereof 2,837 with geography defined
and 122 with unknown origin.
Total article views: 1,094 (including HTML, PDF, and XML)
Thereof 976 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...