62 citations as recorded by crossref.

1. A regional early warning for slushflow hazard M. Sund et al. 10.5194/nhess-24-1185-2024
2. A Regional-Scale Landslide Warning System Based on 20 Years of Operational Experience S. Segoni et al. 10.3390/w10101297
3. 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
4. Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System S. Hartke et al. 10.1175/JHM-D-19-0295.1
5. Evaluation of Hydrological Rainfall Loss Methods Using Small-Scale Physical Landslide Model N. Bezak et al. 10.3390/w14172726
6. Real‐Time Forecast of Catastrophic Landslides via Dragon‐King Detection Q. Lei et al. 10.1029/2022GL100832
7. 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
8. 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
9. Data‐driven modelling of joint debris flow release susceptibility and connectivity S. Steger et al. 10.1002/esp.5421
10. Sub-Hourly Precipitation Extremes in Mainland Portugal and Their Driving Mechanisms J. Santos & M. Belo-Pereira 10.3390/cli10020028
11. A warming-induced reduction in snow fraction amplifies rainfall extremes M. Ombadi et al. 10.1038/s41586-023-06092-7
12. Climate change effects on hydrometeorological compound events over southern Norway B. Poschlod et al. 10.1016/j.wace.2020.100253
13. Ten-year return levels of sub-daily extreme precipitation over Europe B. Poschlod et al. 10.5194/essd-13-983-2021
14. Observer design for state and parameter estimation in a landslide model M. Mishra et al. 10.1016/j.ifacol.2020.12.1116
15. Hazard and risk assessment for early phase road planning in Norway A. Solheim et al. 10.1007/s11069-022-05729-6
16. AI-based intelligent virtual image meteorological services F. Guo et al. 10.2166/ws.2023.315
17. 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
18. Ethics of Climate Change Adaptation—The Case of Torrential Rains in Norway J. Lohne et al. 10.3390/buildings13051111
19. 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
20. Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
21. 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
22. Climatic and management‐related drivers of endemic European spruce bark beetle populations in boreal forests J. Gohli et al. 10.1111/1365-2664.14606
23. 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
24. 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
25. Reanalysis of Soil Moisture Used for Rainfall Thresholds for Rainfall-Induced Landslides: The Italian Case Study N. Bezak et al. 10.3390/w13141977
26. 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
27. Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
28. 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
29. 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
30. 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
31. Estimating snow water equivalent using unmanned aerial vehicles for determining snow-melt runoff T. Niedzielski et al. 10.1016/j.jhydrol.2019.124046
32. 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
33. The human cost of global warming: Deadly landslides and their triggers (1995–2014) U. Haque et al. 10.1016/j.scitotenv.2019.03.415
34. 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
35. 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
36. Data-Driven Landslide Nowcasting at the Global Scale T. Stanley et al. 10.3389/feart.2021.640043
37. 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
38. Evolution of high-filling loess slope under long-term seasonal fluctuation of groundwater H. Bao et al. 10.1016/j.catena.2024.107898
39. 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
40. Geomorphological analysis and early warning systems for landslide risk mitigation in Nepalese mid-hills P. Thapa et al. 10.1007/s11069-023-05929-8
41. Combined state and parameter estimation for a landslide model using Kalman filter M. Mishra et al. 10.1016/j.ifacol.2021.08.376
42. Landslide inventory: ‘Hans’ storm southern Norway, August 7–9, 2023 D. Rüther et al. 10.1007/s10346-024-02222-y
43. 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
44. 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
45. 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
46. Regional Analyses of Rainfall-Induced Landslide Initiation in Upper Gudbrandsdalen (South-Eastern Norway) Using TRIGRS Model L. Schilirò et al. 10.3390/geosciences11010035
47. 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
48. 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
49. Web-Based Platforms for Landslide Risk Mitigation: The State of the Art G. Bossi et al. 10.3390/w15081632
50. 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
51. 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
52. 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
53. Can haze warning policy reduce traffic accidents: evidence from China H. Yu et al. 10.1007/s11356-022-22322-3
54. 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
55. Life and death of slow-moving landslides P. Lacroix et al. 10.1038/s43017-020-0072-8
56. 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
57. 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
58. Application of hydrological modelling for temporal prediction of rainfall-induced shallow landslides N. Bezak et al. 10.1007/s10346-019-01169-9
59. Rainfall-Induced or Lake-Water-Level-Controlled Landslide? An Example from the Steep Slopes of Lake Balaton, Hungary F. Nagy-Göde & Á. Török 10.3390/w14071169
60. Development of a Landslide Early Warning System in Indonesia R. Hidayat et al. 10.3390/geosciences9100451
61. Usage of SIMWE model to model urban overland flood: a case study in Oslo H. Li et al. 10.2166/nh.2020.068
62. 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