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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Ensemble of global landslide hazard from PHELS

Authors: Felsberg, Anne; Poesen, Jean; De Lannoy, Gabriëlle J. M.;

Ensemble of global landslide hazard from PHELS

Abstract

Daily global landslide hazard from the Probabilistic Hydrological Estimation of LandSlides (PHELS) model on the 36-km EASE grid for different hydrological predictor variables alongside global landslide susceptibility estimates: A 7-day antecedent rainfall index (ARI7), daily rainfall, daily root-zone soil moisture (rzmc, 0-100cm depth) and the combination of rainfall&rzmc. PHELS is based on a quadratic exponential equation, fitted to 9367 landslide events. For all four hydrological predictor variable (combinations) deterministic hazard estimations are provided. Please note the different order of magnitude in the hazard values when using one or two hydrological predictor variables. For rainfall&rzmc results of ensemble simulations (100 members) are additionally provided, more specifically the ensemble average and standard deviation. The latter is a measure for the uncertainty of the estimated hazard. Details can be found in Felsberg, A., Heyvaert, Z., Poesen, J., Stanley, T., and De Lannoy, G. J. M. (2023): Probabilistic Hydrological Estimation of LandSlides (PHELS): global ensemble landslide hazard modelling (NHESS, https://doi.org/10.5194/egusphere-2023-869). The global landslide susceptibility estimation is described in Felsberg et al. (2022): Estimating global landslide susceptibility and its uncertainty through ensemble modelling (NHESS, https://doi.org/10.5194/nhess-22-3063-2022)

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Keywords

landslide, hazard, global, hydrology

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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