Articles | Volume 18, issue 5
https://doi.org/10.5194/nhess-18-1427-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-1427-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 May 2018
Research article |
| 25 May 2018
| 25 May 2018
The Norwegian forecasting and warning service for rainfall- and snowmelt-induced landslides
Ingeborg K. Krøgli
CORRESPONDING AUTHOR
Department of
Hydrology, Norwegian Water Resources and Energy Directorate (NVE), Oslo,
0368, Norway
Graziella Devoli
Department of
Hydrology, Norwegian Water Resources and Energy Directorate (NVE), Oslo,
0368, Norway
Department of Geosciences, University of Oslo, Oslo, 0316, Norway
Hervé Colleuille
Department of
Hydrology, Norwegian Water Resources and Energy Directorate (NVE), Oslo,
0368, Norway
Søren Boje
Department of
Hydrology, Norwegian Water Resources and Energy Directorate (NVE), Oslo,
0368, Norway
Monica Sund
Department of
Hydrology, Norwegian Water Resources and Energy Directorate (NVE), Oslo,
0368, Norway
Inger Karin Engen
Department of
Hydrology, Norwegian Water Resources and Energy Directorate (NVE), Oslo,
0368, Norway
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- A Regional-Scale Landslide Warning System Based on 20 Years of Operational Experience S. Segoni et al. 10.3390/w10101297
- On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration S. Wi & S. Steinschneider 10.5194/hess-28-479-2024
- Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System S. Hartke et al. 10.1175/JHM-D-19-0295.1
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- Real‐Time Forecast of Catastrophic Landslides via Dragon‐King Detection Q. Lei et al. 10.1029/2022GL100832
- A comparative study of regional rainfall-induced landslide early warning models based on RF、CNN and MLP algorithms Y. Liu et al. 10.3389/feart.2024.1419421
- An Adaptive Method for the Estimation of Snow-Covered Fraction with Error Propagation for Applications from Local to Global Scales L. Keuris et al. 10.3390/rs15051231
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- Data‐driven modelling of joint debris flow release susceptibility and connectivity S. Steger et al. 10.1002/esp.5421
- Sub-Hourly Precipitation Extremes in Mainland Portugal and Their Driving Mechanisms J. Santos & M. Belo-Pereira 10.3390/cli10020028
- A warming-induced reduction in snow fraction amplifies rainfall extremes M. Ombadi et al. 10.1038/s41586-023-06092-7
- Climate change effects on hydrometeorological compound events over southern Norway B. Poschlod et al. 10.1016/j.wace.2020.100253
- Ten-year return levels of sub-daily extreme precipitation over Europe B. Poschlod et al. 10.5194/essd-13-983-2021
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- AI-based intelligent virtual image meteorological services F. Guo et al. 10.2166/ws.2023.315
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- Integrating local pore water pressure monitoring in territorial early warning systems for weather-induced landslides G. Pecoraro & M. Calvello 10.1007/s10346-020-01599-w
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- The human cost of global warming: Deadly landslides and their triggers (1995–2014) U. Haque et al. 10.1016/j.scitotenv.2019.03.415
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- Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception S. Segoni et al. 10.5194/nhess-18-3179-2018
- Can haze warning policy reduce traffic accidents: evidence from China H. Yu et al. 10.1007/s11356-022-22322-3
- Adopting the <i>I</i><sub>3</sub>–<i>R</i><sub>24</sub> rainfall index and landslide susceptibility for the establishment of an early warning model for rainfall-induced shallow landslides L. Wei et al. 10.5194/nhess-18-1717-2018
- Life and death of slow-moving landslides P. Lacroix et al. 10.1038/s43017-020-0072-8
- Insights gained into geo-hydrological disaster management 25 years after the catastrophic landslides of 1998 in southern Italy G. Esposito et al. 10.1016/j.ijdrr.2022.103440
- Evaluating the interaction between snowmelt runoff and road in the occurrence of hillslope instabilities affecting a landslide-prone mountain basin: A multi-modeling approach L. Mauri et al. 10.1016/j.jhydrol.2022.128200
- Application of hydrological modelling for temporal prediction of rainfall-induced shallow landslides N. Bezak et al. 10.1007/s10346-019-01169-9
- Development of a Landslide Early Warning System in Indonesia R. Hidayat et al. 10.3390/geosciences9100451
- Usage of SIMWE model to model urban overland flood: a case study in Oslo H. Li et al. 10.2166/nh.2020.068
Saved (preprint)
Latest update: 22 Nov 2024
Short summary
Norway has, since 2013, an operative nation-wide landslide forecasting and early warning system for shallow landslides. The early warning system uses thresholds for soil moisture and water supply from rain and snowmelt to issue warnings to the public and relevant authorities when the risk for landslide hazard is present. The warnings are regional and are issued at www.varsom.no. Colours are used to symbolize the hazard level.
Norway has, since 2013, an operative nation-wide landslide forecasting and early warning system...
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