Articles | Volume 17, issue 2
https://doi.org/10.5194/nhess-17-225-2017
https://doi.org/10.5194/nhess-17-225-2017
Research article
 | 
21 Feb 2017
Research article |  | 21 Feb 2017

Dealing with deep uncertainties in landslide modelling for disaster risk reduction under climate change

Susana Almeida, Elizabeth Ann Holcombe, Francesca Pianosi, and Thorsten Wagener

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish as is (31 Jan 2017) by Ian Main
AR by Susana Almeida on behalf of the Authors (03 Feb 2017)
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Short summary
Landslides threaten communities globally, yet predicting their occurrence is challenged by uncertainty about slope properties and climate change. We present an approach to identify the dominant drivers of slope instability and the critical thresholds at which slope failure may occur. This information helps decision makers to target data acquisition to improve landslide predictability, and supports policy development to reduce landslide occurrence and impacts in highly uncertain environments.
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