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
Viewed
Total article views: 5,039 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Dec 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,274 | 1,627 | 138 | 5,039 | 102 | 105 |
- HTML: 3,274
- PDF: 1,627
- XML: 138
- Total: 5,039
- BibTeX: 102
- EndNote: 105
Total article views: 4,316 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 May 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,868 | 1,325 | 123 | 4,316 | 96 | 94 |
- HTML: 2,868
- PDF: 1,325
- XML: 123
- Total: 4,316
- BibTeX: 96
- EndNote: 94
Total article views: 723 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Dec 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 406 | 302 | 15 | 723 | 6 | 11 |
- HTML: 406
- PDF: 302
- XML: 15
- Total: 723
- BibTeX: 6
- EndNote: 11
Viewed (geographical distribution)
Total article views: 5,039 (including HTML, PDF, and XML)
Thereof 4,690 with geography defined
and 349 with unknown origin.
Total article views: 4,316 (including HTML, PDF, and XML)
Thereof 3,975 with geography defined
and 341 with unknown origin.
Total article views: 723 (including HTML, PDF, and XML)
Thereof 715 with geography defined
and 8 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
65 citations as recorded by crossref.
- A regional early warning for slushflow hazard M. Sund et al. 10.5194/nhess-24-1185-2024
- 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
- Evaluation of Hydrological Rainfall Loss Methods Using Small-Scale Physical Landslide Model N. Bezak et al. 10.3390/w14172726
- Assessing rainfall threshold for shallow landslides triggering: a case study in the Alpes Maritimes region, France S. Barthélemy et al. 10.1007/s11069-024-06941-2
- 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
- Groundwater fluctuations during a debris flow event in western Norway – triggered by rain and snowmelt S. Bondevik & A. Sorteberg 10.5194/hess-25-4147-2021
- 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
- Observer design for state and parameter estimation in a landslide model M. Mishra et al. 10.1016/j.ifacol.2020.12.1116
- Hazard and risk assessment for early phase road planning in Norway A. Solheim et al. 10.1007/s11069-022-05729-6
- AI-based intelligent virtual image meteorological services F. Guo et al. 10.2166/ws.2023.315
- Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale M. Bordoni et al. 10.1007/s10346-020-01592-3
- Ethics of Climate Change Adaptation—The Case of Torrential Rains in Norway J. Lohne et al. 10.3390/buildings13051111
- 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
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al. 10.1016/j.gsf.2024.101822
- Regional-scale spatiotemporal landslide probability assessment through machine learning and potential applications for operational warning systems: a case study in Kvam (Norway) N. Nocentini et al. 10.1007/s10346-024-02287-9
- Climatic and management‐related drivers of endemic European spruce bark beetle populations in boreal forests J. Gohli et al. 10.1111/1365-2664.14606
- Multi-Temporal Satellite Image Composites in Google Earth Engine for Improved Landslide Visibility: A Case Study of a Glacial Landscape E. Lindsay et al. 10.3390/rs14102301
- Impact of topography on in situ soil wetness measurements for regional landslide early warning – a case study from the Swiss Alpine Foreland A. Wicki et al. 10.5194/nhess-23-1059-2023
- Reanalysis of Soil Moisture Used for Rainfall Thresholds for Rainfall-Induced Landslides: The Italian Case Study N. Bezak et al. 10.3390/w13141977
- Insight into real-world complexities is required to enable effective response from the aquaculture sector to climate change L. Falconer et al. 10.1371/journal.pclm.0000017
- Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
- A prototype landslide early warning system in Rize (Turkey): analyzing recent impacts to design a safer future S. Segoni et al. 10.1007/s10346-022-01988-3
- The (f)utility to account for pre-failure topography in data-driven landslide susceptibility modelling S. Steger et al. 10.1016/j.geomorph.2020.107041
- Landslide risk reduction through close partnership between research, industry, and public entities in Norway: Pilots and case studies A. Solheim et al. 10.3389/feart.2022.855506
- Estimating snow water equivalent using unmanned aerial vehicles for determining snow-melt runoff T. Niedzielski et al. 10.1016/j.jhydrol.2019.124046
- Rainfall Induced Shallow Landslide Temporal Probability Modelling and Early Warning Research in Mountains Areas: A Case Study of Qin-Ba Mountains, Western China Y. Song et al. 10.3390/rs14235952
- The human cost of global warming: Deadly landslides and their triggers (1995–2014) U. Haque et al. 10.1016/j.scitotenv.2019.03.415
- Application of a fuzzy verification framework for the evaluation of a regional-scale landslide early warning system during the January 2020 Gloria storm in Catalonia (NE Spain) R. Palau et al. 10.1007/s10346-022-01854-2
- Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects S. Steger et al. 10.1016/j.scitotenv.2021.145935
- Data-Driven Landslide Nowcasting at the Global Scale T. Stanley et al. 10.3389/feart.2021.640043
- How water, temperature, and seismicity control the preconditioning of massive rock slope failure (Hochvogel) J. Leinauer et al. 10.5194/esurf-12-1027-2024
- Extreme precipitation on dry ground in western Norway – characteristics of induced landslides call for adaptation of the Norwegian practice in landuse planning D. Rüther et al. 10.1051/e3sconf/202341505023
- Evolution of high-filling loess slope under long-term seasonal fluctuation of groundwater H. Bao et al. 10.1016/j.catena.2024.107898
- Simulated or measured soil moisture: which one is adding more value to regional landslide early warning? A. Wicki et al. 10.5194/hess-25-4585-2021
- Geomorphological analysis and early warning systems for landslide risk mitigation in Nepalese mid-hills P. Thapa et al. 10.1007/s11069-023-05929-8
- Combined state and parameter estimation for a landslide model using Kalman filter M. Mishra et al. 10.1016/j.ifacol.2021.08.376
- Landslide inventory: ‘Hans’ storm southern Norway, August 7–9, 2023 D. Rüther et al. 10.1007/s10346-024-02222-y
- Influence of the mapping unit for regional landslide early warning systems: comparison between pixels and polygons in Catalonia (NE Spain) R. Palau et al. 10.1007/s10346-020-01425-3
- Developing a prototype landslide early warning system for Darjeeling Himalayas using SIGMA model and real-time field monitoring M. Abraham et al. 10.1007/s12303-021-0026-2
- The role of geomorphology, rainfall and soil moisture in the occurrence of landslides triggered by 2018 Typhoon Mangkhut in the Philippines C. Abancó et al. 10.5194/nhess-21-1531-2021
- Regional Analyses of Rainfall-Induced Landslide Initiation in Upper Gudbrandsdalen (South-Eastern Norway) Using TRIGRS Model L. Schilirò et al. 10.3390/geosciences11010035
- Assessing probability of failure of urban landslides through rapid characterization of soil properties and vegetation distribution S. Fiolleau et al. 10.1016/j.geomorph.2022.108560
- Probabilistic Analysis of the Landslide Hazard in Cold Regions: Considering Multiple Triggering Factors and Their Interdependence Q. Liu et al. 10.1007/s00024-022-03152-3
- Web-Based Platforms for Landslide Risk Mitigation: The State of the Art G. Bossi et al. 10.3390/w15081632
- Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models S. Steger et al. 10.5194/nhess-23-1483-2023
- Numerical Analysis of the Effect of Subgrid Variability in a Physically Based Hydrological Model on Runoff, Soil Moisture, and Slope Stability E. Leonarduzzi et al. 10.1029/2020WR027326
- 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
- Comparison of landslide forecasting services in Piedmont (Italy) and Norway, illustrated by events in late spring 2013 G. Devoli et al. 10.5194/nhess-18-1351-2018
64 citations as recorded by crossref.
- A regional early warning for slushflow hazard M. Sund et al. 10.5194/nhess-24-1185-2024
- 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
- Evaluation of Hydrological Rainfall Loss Methods Using Small-Scale Physical Landslide Model N. Bezak et al. 10.3390/w14172726
- Assessing rainfall threshold for shallow landslides triggering: a case study in the Alpes Maritimes region, France S. Barthélemy et al. 10.1007/s11069-024-06941-2
- 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
- Groundwater fluctuations during a debris flow event in western Norway – triggered by rain and snowmelt S. Bondevik & A. Sorteberg 10.5194/hess-25-4147-2021
- 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
- Observer design for state and parameter estimation in a landslide model M. Mishra et al. 10.1016/j.ifacol.2020.12.1116
- Hazard and risk assessment for early phase road planning in Norway A. Solheim et al. 10.1007/s11069-022-05729-6
- AI-based intelligent virtual image meteorological services F. Guo et al. 10.2166/ws.2023.315
- Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale M. Bordoni et al. 10.1007/s10346-020-01592-3
- Ethics of Climate Change Adaptation—The Case of Torrential Rains in Norway J. Lohne et al. 10.3390/buildings13051111
- 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
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al. 10.1016/j.gsf.2024.101822
- Regional-scale spatiotemporal landslide probability assessment through machine learning and potential applications for operational warning systems: a case study in Kvam (Norway) N. Nocentini et al. 10.1007/s10346-024-02287-9
- Climatic and management‐related drivers of endemic European spruce bark beetle populations in boreal forests J. Gohli et al. 10.1111/1365-2664.14606
- Multi-Temporal Satellite Image Composites in Google Earth Engine for Improved Landslide Visibility: A Case Study of a Glacial Landscape E. Lindsay et al. 10.3390/rs14102301
- Impact of topography on in situ soil wetness measurements for regional landslide early warning – a case study from the Swiss Alpine Foreland A. Wicki et al. 10.5194/nhess-23-1059-2023
- Reanalysis of Soil Moisture Used for Rainfall Thresholds for Rainfall-Induced Landslides: The Italian Case Study N. Bezak et al. 10.3390/w13141977
- Insight into real-world complexities is required to enable effective response from the aquaculture sector to climate change L. Falconer et al. 10.1371/journal.pclm.0000017
- Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
- A prototype landslide early warning system in Rize (Turkey): analyzing recent impacts to design a safer future S. Segoni et al. 10.1007/s10346-022-01988-3
- The (f)utility to account for pre-failure topography in data-driven landslide susceptibility modelling S. Steger et al. 10.1016/j.geomorph.2020.107041
- Landslide risk reduction through close partnership between research, industry, and public entities in Norway: Pilots and case studies A. Solheim et al. 10.3389/feart.2022.855506
- Estimating snow water equivalent using unmanned aerial vehicles for determining snow-melt runoff T. Niedzielski et al. 10.1016/j.jhydrol.2019.124046
- Rainfall Induced Shallow Landslide Temporal Probability Modelling and Early Warning Research in Mountains Areas: A Case Study of Qin-Ba Mountains, Western China Y. Song et al. 10.3390/rs14235952
- The human cost of global warming: Deadly landslides and their triggers (1995–2014) U. Haque et al. 10.1016/j.scitotenv.2019.03.415
- Application of a fuzzy verification framework for the evaluation of a regional-scale landslide early warning system during the January 2020 Gloria storm in Catalonia (NE Spain) R. Palau et al. 10.1007/s10346-022-01854-2
- Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects S. Steger et al. 10.1016/j.scitotenv.2021.145935
- Data-Driven Landslide Nowcasting at the Global Scale T. Stanley et al. 10.3389/feart.2021.640043
- How water, temperature, and seismicity control the preconditioning of massive rock slope failure (Hochvogel) J. Leinauer et al. 10.5194/esurf-12-1027-2024
- Extreme precipitation on dry ground in western Norway – characteristics of induced landslides call for adaptation of the Norwegian practice in landuse planning D. Rüther et al. 10.1051/e3sconf/202341505023
- Evolution of high-filling loess slope under long-term seasonal fluctuation of groundwater H. Bao et al. 10.1016/j.catena.2024.107898
- Simulated or measured soil moisture: which one is adding more value to regional landslide early warning? A. Wicki et al. 10.5194/hess-25-4585-2021
- Geomorphological analysis and early warning systems for landslide risk mitigation in Nepalese mid-hills P. Thapa et al. 10.1007/s11069-023-05929-8
- Combined state and parameter estimation for a landslide model using Kalman filter M. Mishra et al. 10.1016/j.ifacol.2021.08.376
- Landslide inventory: ‘Hans’ storm southern Norway, August 7–9, 2023 D. Rüther et al. 10.1007/s10346-024-02222-y
- Influence of the mapping unit for regional landslide early warning systems: comparison between pixels and polygons in Catalonia (NE Spain) R. Palau et al. 10.1007/s10346-020-01425-3
- Developing a prototype landslide early warning system for Darjeeling Himalayas using SIGMA model and real-time field monitoring M. Abraham et al. 10.1007/s12303-021-0026-2
- The role of geomorphology, rainfall and soil moisture in the occurrence of landslides triggered by 2018 Typhoon Mangkhut in the Philippines C. Abancó et al. 10.5194/nhess-21-1531-2021
- Regional Analyses of Rainfall-Induced Landslide Initiation in Upper Gudbrandsdalen (South-Eastern Norway) Using TRIGRS Model L. Schilirò et al. 10.3390/geosciences11010035
- Assessing probability of failure of urban landslides through rapid characterization of soil properties and vegetation distribution S. Fiolleau et al. 10.1016/j.geomorph.2022.108560
- Probabilistic Analysis of the Landslide Hazard in Cold Regions: Considering Multiple Triggering Factors and Their Interdependence Q. Liu et al. 10.1007/s00024-022-03152-3
- Web-Based Platforms for Landslide Risk Mitigation: The State of the Art G. Bossi et al. 10.3390/w15081632
- Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models S. Steger et al. 10.5194/nhess-23-1483-2023
- Numerical Analysis of the Effect of Subgrid Variability in a Physically Based Hydrological Model on Runoff, Soil Moisture, and Slope Stability E. Leonarduzzi et al. 10.1029/2020WR027326
- 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: 05 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...
Altmetrics
Final-revised paper
Preprint