Articles | Volume 17, issue 4
https://doi.org/10.5194/nhess-17-515-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-515-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Extreme weather exposure identification for road networks – a comparative assessment of statistical methods
Matthias Schlögl
CORRESPONDING AUTHOR
Transportation Infrastructure Technologies, Center for Mobility
Systems, Austrian Institute of Technology (AIT), Vienna, 1210, Austria
Gregor Laaha
Institute of Applied Statistics and Scientific Computing, Department
of Landscape, Spatial and Infrastructure Sciences, University of Natural
Resources and Life Sciences (BOKU), Vienna, 1190, Austria
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Cited
13 citations as recorded by crossref.
- Precipitation frequency analyses based on radar estimates: An evaluation over the contiguous United States D. McGraw et al. 10.1016/j.jhydrol.2019.03.032
- Potential future exposure of European land transport infrastructure to rainfall-induced landslides throughout the 21st century M. Schlögl & C. Matulla 10.5194/nhess-18-1121-2018
- Derivation of canonical total-sequences triggering landslides and floodings in complex terrain K. Enigl et al. 10.1016/j.advwatres.2019.04.018
- Metastatistical Extreme Value analysis of hourly rainfall from short records: Estimation of high quantiles and impact of measurement errors F. Marra et al. 10.1016/j.advwatres.2018.05.001
- Compound generalized extreme value distribution for modeling the effects of monthly and seasonal variation on the extreme travel delays for vulnerability analysis of road network M. Ansari Esfeh et al. 10.1016/j.trc.2020.102808
- Sensitivity of flood frequency analysis to data record, statistical model, and parameter estimation methods: An evaluation over the contiguous United States L. Hu et al. 10.1111/jfr3.12580
- Precipitation frequency analysis from remotely sensed datasets: A focused review F. Marra et al. 10.1016/j.jhydrol.2019.04.081
- On the nexus between landslide susceptibility and transport infrastructure – an agent-based approach M. Schlögl et al. 10.5194/nhess-19-201-2019
- Climatic and altitudinal controls on rainfall extremes and their temporal changes in data-sparse tropical regions W. Amponsah et al. 10.1016/j.jhydrol.2022.128090
- The Impact of Climate Change on Urban Transportation Resilience to Compound Extreme Events T. Ji et al. 10.3390/su14073880
- How standard are standardized drought indices? Uncertainty components for the SPI & SPEI case J. Laimighofer & G. Laaha 10.1016/j.jhydrol.2022.128385
- Estimating network related risks: A methodology and an application in the transport sector J. Hackl et al. 10.5194/nhess-18-2273-2018
- Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event F. Jufri et al. 10.3390/en10111779
13 citations as recorded by crossref.
- Precipitation frequency analyses based on radar estimates: An evaluation over the contiguous United States D. McGraw et al. 10.1016/j.jhydrol.2019.03.032
- Potential future exposure of European land transport infrastructure to rainfall-induced landslides throughout the 21st century M. Schlögl & C. Matulla 10.5194/nhess-18-1121-2018
- Derivation of canonical total-sequences triggering landslides and floodings in complex terrain K. Enigl et al. 10.1016/j.advwatres.2019.04.018
- Metastatistical Extreme Value analysis of hourly rainfall from short records: Estimation of high quantiles and impact of measurement errors F. Marra et al. 10.1016/j.advwatres.2018.05.001
- Compound generalized extreme value distribution for modeling the effects of monthly and seasonal variation on the extreme travel delays for vulnerability analysis of road network M. Ansari Esfeh et al. 10.1016/j.trc.2020.102808
- Sensitivity of flood frequency analysis to data record, statistical model, and parameter estimation methods: An evaluation over the contiguous United States L. Hu et al. 10.1111/jfr3.12580
- Precipitation frequency analysis from remotely sensed datasets: A focused review F. Marra et al. 10.1016/j.jhydrol.2019.04.081
- On the nexus between landslide susceptibility and transport infrastructure – an agent-based approach M. Schlögl et al. 10.5194/nhess-19-201-2019
- Climatic and altitudinal controls on rainfall extremes and their temporal changes in data-sparse tropical regions W. Amponsah et al. 10.1016/j.jhydrol.2022.128090
- The Impact of Climate Change on Urban Transportation Resilience to Compound Extreme Events T. Ji et al. 10.3390/su14073880
- How standard are standardized drought indices? Uncertainty components for the SPI & SPEI case J. Laimighofer & G. Laaha 10.1016/j.jhydrol.2022.128385
- Estimating network related risks: A methodology and an application in the transport sector J. Hackl et al. 10.5194/nhess-18-2273-2018
- Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event F. Jufri et al. 10.3390/en10111779
Latest update: 04 Apr 2025
Short summary
Different extreme value analysis approaches and fitting methods are compared with respect to their value for assessing the exposure of transport networks to extreme precipitation and temperature impacts. The merits of simultaneous analysis and combined plotting of various approaches are shown. The use of conditional performance metrics is proposed as an additional measure for assessing model goodness of fit. Findings of the study can be transferred to a range of environmental variables.
Different extreme value analysis approaches and fitting methods are compared with respect to...
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