Articles | Volume 21, issue 7
Research article
13 Jul 2021
Research article |  | 13 Jul 2021

Atmospheric triggering conditions and climatic disposition of landslides in Kyrgyzstan and Tajikistan at the beginning of the 21st century

Xun Wang, Marco Otto, and Dieter Scherer

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Cited articles

Barbosa, N., Andreani, L., Gloaguen, R., and Ratschbacher, L.: Window-Based Morphometric Indices as Predictive Variables for Landslide Susceptibility Models, Remote Sens., 13, 451,, 2021. a
Behling, R. and Roessner, S.: Multi-temporal landslide inventory for a study area in Southern Kyrgyzstan derived from RapidEye satellite time series data (2009–2013), V. 1.0. GFZ Data Services, Potsdam, Germany,, 2020. a
Berti, M., Martina, M., Franceschini, S., Pignone, S., Simoni, A., and Pizziolo, M.: Probabilistic rainfall thresholds for landslide occurrence using a Bayesian approach, J. Geophys. Res.-Earth, 117, F04006,, 2012. a, b, c
Bookhagen, B. and Strecker, M. R.: Orographic barriers, high-resolution TRMM rainfall, and relief variations along the eastern Andes, Geophysical Res. Lett., 35, L06403,, 2008. a
Braun, A., Fernandez-Steeger, T., Havenith, H.-B., and Torgoev, A.: Landslide Susceptibility Mapping with Data Mining Methods – a Case Study from Maily-Say, Kyrgyzstan, in: Engineering Geology for Society and Territory – Volume 2, Springer, Cham, 995–998, 2015. a
Short summary
We applied a high-resolution, gridded atmospheric data set combined with landslide inventories to investigate the atmospheric triggers, define triggering thresholds, and characterize the climatic disposition of landslides in Kyrgyzstan and Tajikistan. Our results indicate the crucial role of snowmelt in landslide triggering and prediction in Kyrgyzstan and Tajikistan, as well as the added value of climatic disposition derived from atmospheric triggering conditions.
Final-revised paper