Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-2117-2022
© Author(s) 2022. 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-22-2117-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Jun 2022
Research article |
| 23 Jun 2022
| 23 Jun 2022
Quantification of meteorological conditions for rockfall triggers in Germany
Katrin M. Nissen
CORRESPONDING AUTHOR
Institute for Meteorology, Freie Universität Berlin, Berlin, Germany
Stefan Rupp
Institute for Applied Physical Geography, University of Vechta, Vechta, Germany
Thomas M. Kreuzer
Institute for Geography and Geology, University of Würzburg, Würzburg, Germany
Björn Guse
Section Hydrology, GFZ German Research Centre for Geoscience, Potsdam, Germany
Bodo Damm
Institute for Applied Physical Geography, University of Vechta, Vechta, Germany
Uwe Ulbrich
Institute for Meteorology, Freie Universität Berlin, Berlin, Germany
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Katrin M. Nissen, Martina Wilde, Thomas M. Kreuzer, Annika Wohlers, Bodo Damm, and Uwe Ulbrich
Nat. Hazards Earth Syst. Sci., 23, 2737–2748, https://doi.org/10.5194/nhess-23-2737-2023, https://doi.org/10.5194/nhess-23-2737-2023, 2023
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Weather Clim. Dynam., 4, 663–682, https://doi.org/10.5194/wcd-4-663-2023, https://doi.org/10.5194/wcd-4-663-2023, 2023
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Arctic sea ice loss might impact the atmospheric circulation outside the Arctic and therefore extremes over mid-latitudes. Here, we analyze model experiments to initially assess the influence of sea ice loss on occurrence frequencies of large-scale circulation patterns. Some of these detected circulation changes can be linked to changes in occurrences of European temperature extremes. Compared to future global temperature increases, the sea-ice-related impacts are however of secondary relevance.
Edmund P. Meredith, Uwe Ulbrich, and Henning W. Rust
Geosci. Model Dev., 16, 851–867, https://doi.org/10.5194/gmd-16-851-2023, https://doi.org/10.5194/gmd-16-851-2023, 2023
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Cell-tracking algorithms allow for the study of properties of a convective cell across its lifetime and, in particular, how these respond to climate change. We investigated whether the design of the algorithm can affect the magnitude of the climate-change signal. The algorithm's criteria for identifying a cell were found to have a strong impact on the warming response. The sensitivity of the warming response to different algorithm settings and cell types should thus be fully explored.
Michael Dietze, Rainer Bell, Ugur Ozturk, Kristen L. Cook, Christoff Andermann, Alexander R. Beer, Bodo Damm, Ana Lucia, Felix S. Fauer, Katrin M. Nissen, Tobias Sieg, and Annegret H. Thieken
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Geosci. Model Dev., 14, 4335–4355, https://doi.org/10.5194/gmd-14-4335-2021, https://doi.org/10.5194/gmd-14-4335-2021, 2021
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Decadal climate ensemble forecasts are increasingly being used to guide adaptation measures. To ensure the applicability of these probabilistic predictions, inherent systematic errors of the prediction system must be adjusted. Since it is not clear which statistical model is optimal for this purpose, we propose a recalibration strategy with a systematic model selection based on non-homogeneous boosting for identifying the most relevant features for both ensemble mean and ensemble spread.
Lieke Anna Melsen and Björn Guse
Hydrol. Earth Syst. Sci., 25, 1307–1332, https://doi.org/10.5194/hess-25-1307-2021, https://doi.org/10.5194/hess-25-1307-2021, 2021
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Certain hydrological processes become more or less relevant when the climate changes. This should also be visible in the models that are used for long-term predictions of river flow as a consequence of climate change. We investigated this using three different models. The change in relevance should be reflected in how the parameters of the models are determined. In the different models, different processes become more relevant in the future: they disagree with each other.
Nico Becker, Henning W. Rust, and Uwe Ulbrich
Nat. Hazards Earth Syst. Sci., 20, 2857–2871, https://doi.org/10.5194/nhess-20-2857-2020, https://doi.org/10.5194/nhess-20-2857-2020, 2020
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A set of models is developed to forecast hourly probabilities of weather-related road accidents in Germany at the spatial scale of administrative districts. Model verification shows that using precipitation and temperature data leads to the best accident forecasts. Based on weather forecast data we show that skilful predictions of accident probabilities of up to 21 h ahead are possible. The models can be used to issue impact-based warnings, which are relevant for road users and authorities.
Cited articles
Akaike, H.: A new look at the statistical model identification, IEEE T. Automat. Contr., 19, 716–723,
https://doi.org/10.1109/TAC.1974.1100705, 1974. a
Bajni, G., Camera, C. A. S., and Apuani, T.: Deciphering meteorological
influencing factors for Alpine rockfalls: a case study in Aosta Valley,
Landslides, 18, 3279–3298, https://doi.org/10.1007/s10346-021-01697-3, 2021. a, b, c
Benedetti, R.: Scoring Rules for Forecast Verification, Mon. Weather Rev., 138,
203–2011, https://doi.org/10.1175/2009MWR2945.1, 2010. a, b
Copernicus Land Monitoring Service: EU-DEM v1.1, Copernicus Programme [data set], https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1 (last access: 13 August 2021), 2016. a
Cornes, R., van der Schrier, G., van den Besselaar, E. J. M., and Jones, P. D.:
Ensemble Version of the E-OBS Temperature and Precipitation Datasets, J.
Geophys. Res.-Atmos, 123, 9391–9409, https://doi.org/10.1029/2017JD028200, 2018. a
Crozier, M.: Deciphering the effect of climate change on landslide activity: A
review, Geomorphology, 124, 260–267, https://doi.org/10.1016/j.geomorph.2010.04.009,
2010. a
D'Amato, J., Hantz, D., Guerin, A., Jaboyedoff, M., Baillet, L., and Mariscal, A.: Influence of meteorological factors on rockfall occurrence in a middle mountain limestone cliff, Nat. Hazards Earth Syst. Sci., 16, 719–735, https://doi.org/10.5194/nhess-16-719-2016, 2016. a, b, c, d
Damm, B. and Klose, M.: The landslide database for Germany: Closing the gap at
national level, Geomorphology, 249, 82–93,
https://doi.org/10.1016/j.geomorph.2015.03.021, 2015. a
Damm, B., Becht, M., Varga, K., and Heckmann, T.: Relevance of tectonic and
structural parameters in Triassic bedrock formations to landslide
susceptibility in Quaternary hillslope sediments, Quatern. Int., 222, 143–153,
https://doi.org/10.1016/j.quaint.2010.02.022, 2010. a
Damm, B., Terhorst, B., and Ottner, F.: Geotechnical properties of periglacial cover beds, in: Mid-latitude slope deposits (cover
beds), Elsevier, Amsterdam, p. 153, ISBN 9780444531186, 2013. a
Di Luzio, E., Mazzanti, P., Brunetti, A., and Baleani, M.: Assessment of
tectonic-controlled rock fall processes threatening the ancient Appia route
at the Aurunci Mountain pass (central Italy), Nat. Hazards, 102,
909–937, https://doi.org/10.1007/s11069-020-03939-4, 2020. a
Dorren, L., Berger, F., Jonsson, M., Krautblatter, M., Mölk, M., Stoffel,
M., and Wehrli, A.: State of the art in rockfall – forest interactions,
Schweizerische Zeitschrift fur Forstwesen, 158, 128–141,
https://doi.org/10.3188/szf.2007.0128, 2007. a
Droogers, P. and Allen, R. G.: Estimating Reference Evapotranspiration Under
Inaccurate Data Conditions, Irrigation and Drainage Systems, 16, 33–45, https://doi.org/10.1023/A:1015508322413,
2002. a
DWD Climate Data Center (CDC): REGNIE grids of daily precipitation, https://opendata.dwd.de/climate_environment/CDC/grids_germany/daily/regnie/, last access: 13 August 2021. a
European Climate Assessment and Dataset (ECA&D): E-OBS gridded dataset, https://www.ecad.eu/download/ensembles/ensembles.php, last access: 13 August 2021. a
Erismann, T. H. and Abele, G.: Dynamics of Rockslides and Rockfalls,
Springer, Berlin, Heidelberg, 316 pp., https://doi.org/10.1007/978-3-662-04639-5, 2001. a
Evans, S. G. and Hungr, O.: The assessment of rockfall hazard at the base of
talus slopes, Can. Geotech. J., 30, 620–636,
https://doi.org/10.1139/t93-054, 1993. a
Flageollet, J. C. and Weber, D.: Fall, in: Landslide recognition: identification, movement and causes, Wiley, Chichester, 13–28, ISBN 978-0-471-96477-3, 1996. a
Froude, M. J. and Petley, D. N.: Global fatal landslide occurrence from 2004 to 2016, Nat. Hazards Earth Syst. Sci., 18, 2161–2181, https://doi.org/10.5194/nhess-18-2161-2018, 2018. a
Gariano, S. L. and Guzzetti, F.: Landslides in a changing climate,
Earth-Sci. Rev., 162, 227–252, https://doi.org/10.1016/j.earscirev.2016.08.011,
2016. a
Gill, J. C. and Malamud, B. D.: Anthropogenic processes, natural hazards, and
interactions in a multi-hazard framework, Earth-Sci. Rev., 166,
246–269, https://doi.org/10.1016/j.earscirev.2017.01.002, 2017. a
Good, I. J.: Weight of evidence: A brief survey, in: Bayesian Statistics 2, 249–270, North Holland, Amsterdam, ISBN 978-0444877468, 1985. a
Haque, U., da Silva, P. F., Devoli, G., Pilz, J., Zhao, B., Khaloua, A.,
Wilopo, W., Andersen, P., Lu, P., Lee, J., Yamamoto, T., Keellings, D., Wu,
J.-H., and Glass, G. E.: The human cost of global warming: Deadly
landslides and their triggers (1995–2014), Sci. Total Environ., 682, 673–684, https://doi.org/10.1016/j.scitotenv.2019.03.415, 2019. a
Hargreaves, G. H.: Defining and using reference evapotranspiration, Irrigation and Drainage Engineering, 120, 1132–1139,
https://doi.org/10.1061/(ASCE)0733-9437(1994)120:6(1132), 1994. a
Horn, B. K. P.: Hill shading and the reflectance map, Proceedings of the IEEE, 69, 14–47, https://doi.org/10.1109/PROC.1981.11918, 1981. a
Hungr, O., Leroueil, S., and Picarelli, L.: The Varnes classification of
landslide types, an update, Landslides, 11, 167–194,
https://doi.org/10.1007/s10346-013-0436-y, 2014. a
IPCC (Intergovernmental Panel on Climate Change): Climate Change 2013 – The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press. Camebridge, https://doi.org/10.1017/CBO9781107415324, 2014. a, b, c
Krautblatter, M., Moser, M., Schrott, L., Wolf, J., and Morche, D.:
Significance of rockfall magnitude and carbonate dissolution for rock slope
erosion and geomorphic work on Alpine limestone cliffs (Reintal, German Alps), Geomorphology, 167-168, 21–34,
https://doi.org/10.1016/j.geomorph.2012.04.007, 2012. a
LGB (Landesamt für Geologie und Bergbau Rheinland-Pfalz): Geologie von
Rheinland-Pfalz, Schweizerbart, Stuttgart, ISBN 978-3-510-65215-0, 2005. a
Macciotta, R., Hendry, M., Cruden, D. M., Blais-Stevens, A., and Edwards, T.:
Quantifying rock fall probabilities and their temporal distribution
associated with weather seasonality, Landslides, 14, 2025–2039,
https://doi.org/10.1007/s10346-017-0834-7, 2017. a, b, c
McColl, S. T.: Landslide Causes and Triggers, in: Landslide Hazards,
Risks and Disasters, edited by: Shroder, J. F. and Davies, T.,
Academic Press, 17–42, https://doi.org/10.1016/B978-0-12-396452-6.00002-1, 2015. a
Neuhäuser, B. and Terhorst, B.: Landslide susceptibility assessment using
“weights-of-evidence” applied to a study area at the Jurassic escarpment
(SW-Germany), Geomorphology, 86, 12–24,
https://doi.org/10.1016/j.geomorph.2006.08.002, 2007. a
Pälchen, W. and Walter, H., (Eds.): Geologie von Sachsen I: Geologischer
Bau und Entwicklungsgeschichte, Schweizerbart, Stuttgart, ISBN 978-3-510-65270-9, 2008. a
Paranunzio, R., Chiarle, M., Laio, F., Nigrell, G., Turconi, L., and Luino, F.:
New insights in the relation between climate and slope failures at
high-elevation sites, Theor. Appl. Climatol., 137, 1765–1784,
https://doi.org/10.1007/s00704-018-2673-4, 2019. a
Rakovec, O., Kumar, R., Mai, J., Cuntz, M., Thober, S., Zink, M., Attinger, S.,
Schäfer, D., Schrön, M., and Samaniego, L.: Multiscale and
multivariate evaluation of water fluxes and states over European river
basins, Hydrometeor., 17, 287–307, https://doi.org/10.1175/JHM-D-15-0054.1, 2016. a
Rauthe, M., Steiner, H., Riediger, U., Mazurkiewicz, A., and Gratzki, A.: A
Central European precipitation climatology – Part I: Generation and
validation of a high-resolution gridded daily data set (HYRAS), Meteorol.
Z., 22, 235–256, https://doi.org/10.1127/0941-2948/2013/0436, 2013. a
Robbins, B. A., Stephens, I. J., and Marcuson, W. F.: Geotechnical
Engineering, in: Encyclopedia of Geology, edited by: Alderton, D. and Elias,
S. A., second edn., Academic Press, 377–392,
https://doi.org/10.1016/B978-0-12-409548-9.12508-4, 2021. a
Rupp, S. and Damm, B.: A national rockfall dataset as a tool for analysing the
spatial and temporal rockfall occurrence in Germany, Earth Surf. Process.
Landforms, 45, 1528–1538, https://doi.org/10.1002/esp.4827, 2020. a, b, c, d
Samaniego, L., Kumar, R., and Attinger, S.: Multiscale parameter
regionalization of a grid‐based hydrologic model at the mesoscale, Water
Resour. Res., 46, W05523, https://doi.org/10.1029/2008WR007327, 2010. a
Samaniego, L., Thober, S., Kumar, R., Wanders, N., Rakovec, O., Pan, M., Zink,
M., Sheffield, J., Wood, E. F., and Marx, A.: Anthropogenic warming
exacerbates European soil moisture droughts, Nature Clim. Change, 8,
421–426, https://doi.org/10.1038/s41558-018-0138-5, 2018. a
Samaniego, L., Thober, S., Wanders, N., Pan, M., Rakovec, O., Sheffield, J.,
Wood, E. F., Prudhomme, C., Rees, G., Houghton-Carr, H., Fry, M., Smith, K.,
Watts, G., Hisdal, H., Estrela, T., Buontempo, C., Marx, A., and Kumar, R.:
Hydrological forecasts and projections for improved decision-making in the
water sector in Europe, B. Am. Meteorol. Soc., 100, 2451–2471, https://doi.org/10.1175/BAMS-D-17-0274.1, 2019. a
Sass, O. and Oberlechner, M.: Is climate change causing increased rockfall frequency in Austria?, Nat. Hazards Earth Syst. Sci., 12, 3209–3216, https://doi.org/10.5194/nhess-12-3209-2012, 2012. a, b, c
Savi, S., Comiti, F., and Strecker, M. R.: Pronounced increase in slope
instability linked to global warming: A case study from the eastern European
Alps, Earth Surf. Process. Landforms., 46, 1328–1347,
https://doi.org/10.1002/esp.5100, 2021. a
Selby, M. J., (Ed.): Hillslope materials and processes, Oxford University Press, New York, ISBN 978-0198741831, 1993. a
Siddiqi, N.: Credit Risk Scorecards: Developing and Implementing Intelligent
Credit Scoring, Wiley, Hoboken, New Jersey, https://doi.org/10.1002/9781119201731,
2006. a, b
Siddique, T., Pradhan, S. P., and Vishal, V.: Rockfall: A Specific Case
of Landslide, Advances in Natural and Technological Hazards
Research, Springer International Publishing, Cham, 61–81,
https://doi.org/10.1007/978-3-319-77377-3_4, 2019. a
Souleymane, D., Ogawa, Y., and Zhang, M.: Effects of Cyclic Wetting and
Drying on Physical and Mechanical Properties of Neogene
Sandstones and Siltstones from Boso Peninsula, Japan, Journal of the Japan Society of Engineering Geology, 49, 150–163,
https://doi.org/10.5110/jjseg.49.150, 2008. a
Spadari, M., Giacomini, A., Buzzi, O., Fityus, S., and Giani, G. P.: In situ
rockfall testing in New South Wales, Australia, Int. J. Rock Mech. Min., 49, 84–93,
https://doi.org/10.1016/j.ijrmms.2011.11.013, 2012. a
Vicente-Serrano, S. M., Beguería, S., and López-Moreno, J. I.: A
multi-scalar drought index sensitive to global warming: the standardized
precipitation evapotranspiration index – SPEI, J. Clim., 23, 1696–1718,
https://doi.org/10.1175/2009JCLI2909.1, 2010. a
Viles, H. A.: Linking weathering and rock slope instability: non-linear
perspectives, Earth Surf. Process. Landforms, 38, 62–70,
https://doi.org/10.1002/esp.3294, 2013. a
Wagner, B.: Spatial analysis of loess and loess-like sediments in the
Weser-Aller catchment (Lower Saxony and Northern Hesse, NW Germany),
Quaternary Science Journal, 60, 27–46, https://doi.org/10.3285/eg.60.1.02,
2011.
a
Whalley, W. B.: The mechanics of high magnitude-low frequency rock failure and its importance in mountainous areas, Reading Geographical Papers, 27, 48 pp., https://www.researchgate.net/publication/44734787_The_mechanics_of_high-magnitude_low-frequency_rock_failure_and_its_importance_in_a_mountainous_area_W_Brian_Whalley
(last access: 13 August 2022), 1974. a
Winterrath, T., Brendel, C., Hafer, M., Junghänel, T., Klameth, A., Lengfeld,
K., Walawender, E., Weigl, E., and Becker, A.: Reprocessed gauge-adjusted
radar-data, one-hour precipitation sums (RW), DWD Climate Data Center [data set],
https://doi.org/10.5676/DWD/RADKLIM_RW_V2017.002, 2018. a, b
Zink, M., Samaniego, L., Kumar, R., Thober, S., Mai, J., Schäfer, D., and
Marx, A.: The German drought monitor, Environ. Res. Lett., 11, 074002, https://doi.org/10.1088/1748-9326/11/7/074002,
2016. a, b
Short summary
A statistical model is introduced which quantifies the influence of individual potential triggering factors and their interactions on rockfall probability in central Europe. The most important factor is daily precipitation, which is most effective if sub-surface moisture levels are high. Freeze–thaw cycles in the preceding days can further increase the rockfall hazard. The model can be applied to climate simulations in order to investigate the effect of climate change on rockfall probability.
A statistical model is introduced which quantifies the influence of individual potential...
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