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. Rainfall-induced landslides are a common and significant source of damagesand fatalities worldwide. Still, we have little understanding of the quantityand properties of landsliding that can be expected for a given storm and agiven landscape, mostly because we have few inventories of rainfall-inducedlandslides caused by single storms. Here we present six new comprehensivelandslide event inventories coincident with well identified rainfall events.Combining these datasets, with two previously published datasets, we studytheir statistical properties and their relations to topographic slopedistribution and storm properties. Landslide metrics (such as totallandsliding, peak landslide density, or landslide distribution area) varyacross 2 to 3 orders of magnitude but strongly correlate with the storm totalrainfall, varying over almost 2 orders of magnitude for these events.Applying a normalization on the landslide run-out distances increases thesecorrelations and also reveals a positive influence of total rainfall on theproportion of large landslides. The nonlinear scaling of landslide densitywith total rainfall should be further constrained with additional cases andincorporation of landscape properties such as regolith depth, typicalstrength or permeability estimates. We also observe that rainfall-inducedlandslides do not occur preferentially on the steepest slopes of thelandscape, contrary to observations from earthquake-induced landslides. Thismay be due to the preferential failures of larger drainage area patches withintermediate slopes or due to the lower pore-water pressure accumulation infast-draining steep slopes. The database could be used for further comparisonwith spatially resolved rainfall estimates and with empirical or mechanisticlandslide event modeling.

earth surface dynamics

Initial insights from a global database of rainfall-induced landslide inventories: the weak influence of slope and strong influence of total storm rainfall