Articles | Volume 25, issue 12
https://doi.org/10.5194/nhess-25-4907-2025
https://doi.org/10.5194/nhess-25-4907-2025
Research article
 | 
10 Dec 2025
Research article |  | 10 Dec 2025

Use of delayed ERA5-Land soil moisture products for improving landslide early warning

Nunziarita Palazzolo, Antonino Cancelliere, Robert D. Zofei, and David J. Peres

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Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data
Nunziarita Palazzolo, David J. Peres, Enrico Creaco, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 23, 279–291, https://doi.org/10.5194/nhess-23-279-2023,https://doi.org/10.5194/nhess-23-279-2023, 2023
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Cited articles

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Bogaard, T. A. and Greco, R.: Landslide hydrology: from hydrology to pore pressure, Wiley Interdiscip. Rev. Water, 3, 439–459, https://doi.org/10.1002/WAT2.1126, 2016. 
Caine, N.: The Rainfall Intensity: Duration Control of Shallow Landslides and Debris Flows, Geogr. Ann. Ser. A, Phys. Geogr., 62, 23, https://doi.org/10.2307/520449, 1980. 
Calvello, M. and Pecoraro, G.: FraneItalia: a catalog of recent Italian landslides, Geoenvironmental Disasters, 5, 1–16, https://doi.org/10.1186/s40677-018-0105-5, 2018. 
Conrad, J. L., Morphew, M. D., Baum, R. L., and Mirus, B. B.: HydroMet: A New Code for Automated Objective Optimization of Hydrometeorological Thresholds for Landslide Initiation, Water, 13, 1752, https://doi.org/10.3390/W13131752, 2021. 
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Short summary
We investigate whether ERA5-Land reanalysis soil moisture data, despite their 5 d publication delay, can be useful for improving the performance of relationships providing triggering conditions for landslides. Using artificial neural networks, we find that soil moisture delayed even up to 15 d allows an improvement of performance respect to precipitation-based models, therefore corroborating the potential use of ERA5-Land soil moisture for improving landslide early warning.
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