Abstract
AbstractLandslides are an important natural hazard in mountainous regions. Given the triggering and preconditioning by meteorological conditions, it is known that landslide risk may change in a warming climate, but whether climate change has already affected individual landslide events is still an open question, partly owing to landslide data limitations and methodological challenges in climate impact attribution. Here, we demonstrate the substantial influence of anthropogenic climate change on a severe event in the southeastern Alpine forelands with some estimated 952 individual landslides in June 2009. Our study is based on conditional event attribution complemented by an assessment of changes in atmospheric circulation. Using this approach, we simulate the meteorological event under observed and a range of counterfactual conditions of no climate change and explicitly predict the landslide occurrence probability for these conditions. We find that up to 10%, i.e., 95 landslides, can be attributed to climate change.
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science,Global and Planetary Change
Reference62 articles.
1. Bechtold P, Köhler M, Jung T et al (2008) Advances in simulating atmospheric variability with the ECMWF model: from synoptic to decadal time-scales. Quarterly Journal of the Royal Meteorological Society: A journal of the atmospheric sciences, applied meteorology and physical oceanography 134(634):1337–1351. https://doi.org/10.1002/qj.289
2. Begum AR, Lempert R, Ali E, et al (2022) Chapter 1: Point of departure and key concepts. In: Pörtner H-O, Roberts DC, Tignor M, Poloczanska ES, Mintenbeck K, Alegría A, Craig M, Langsdorf S, Löschke S, Möller V, Okem A, Rama B (eds) Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press
3. Böhm U, Kücken M, Ahrens W et al (2006) CLM-the climate version of LM: brief description and long-term applications. COSMO newsletter 6:225–235
4. Chen F, Manning KW, LeMone MA et al (2007) Description and evaluation of the characteristics of the NCAR high-resolution land data assimilation system. Journal of applied Meteorology and Climatology 46(6):694–713. https://doi.org/10.1175/JAM2463.1
5. Crozier MJ (2010) Deciphering the effect of climate change on landslide activity: a review. Geomorphology 124(3–4):260–267. https://doi.org/10.1016/j.geomorph.2010.04.009
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献