[HTML][HTML] Hydrological performance of the ERA5 reanalysis for flood modeling in Tunisia with the LISFLOOD and GR4J models

E Cantoni, Y Tramblay, S Grimaldi, P Salamon… - Journal of Hydrology …, 2022 - Elsevier
Study region This study is focused on 6 catchments in Tunisia, in North Africa, under a semi-
arid climate where daily river discharge and precipitation observations are available …

Evolution characteristics of mining fissures in overlying strata of stope after converting from open-pit to underground

X Li, Q Li, Y Hu, L Teng, S Yang - Arabian Journal of Geosciences, 2021 - Springer
The mechanical properties and engineering response characteristics of rock under the
interaction of slope rock mass and underground mining have always been a major difficulty …

[HTML][HTML] Characterizing extreme values of precipitation at very high resolution: An experiment over twenty European cities

A Reder, M Raffa, R Padulano, G Rianna… - Weather and Climate …, 2022 - Elsevier
The paper presents a new hourly high-resolution (ie, at 0.02°,≃ 2.2 km) precipitation dataset,
labelled as ERA5@ 2km, obtained by dynamically downscaling ERA5 reanalysis at …

A comparison of moderate and extreme ERA‐5 daily precipitation with two observational data sets

P Rivoire, O Martius, P Naveau - Earth and Space Science, 2021 - Wiley Online Library
A comparison of moderate to extreme daily precipitation from the ERA‐5 reanalysis by the
European Centre for Medium‐Range Weather Forecasts against two observational gridded …

[HTML][HTML] Exploring the possible role of satellite-based rainfall data in estimating inter-and intra-annual global rainfall erosivity

N Bezak, P Borrelli, P Panagos - Hydrology and Earth System …, 2022 - hess.copernicus.org
Despite recent developments in modeling global soil erosion by water, to date, no
substantial progress has been made towards more dynamic inter-and intra-annual …

[HTML][HTML] Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an …

N Palazzolo, DJ Peres, E Creaco… - Natural Hazards and …, 2023 - nhess.copernicus.org
A key component for landslide early warning systems (LEWSs) is constituted by thresholds
providing the conditions above which a landslide can be triggered. Traditionally, thresholds …

[HTML][HTML] Variations in summer extreme hot–humid events over Eastern China and the possible associated mechanisms

W He, H Chen, J Ma - Journal of Climate, 2023 - journals.ametsoc.org
This study aimed to explore the changing characteristics of summer, compound, extreme hot–
humid events over eastern China in recent decades and the associated underlying …

Hydro-meteorological landslide triggering thresholds based on artificial neural networks using observed precipitation and ERA5-Land soil moisture

P Distefano, DJ Peres, L Piciullo, N Palazzolo… - Landslides, 2023 - Springer
Landslide prediction is key for the development of early warning systems. In this work, we
develop artificial neural networks (ANNs) that can identify landslide triggering conditions …

[HTML][HTML] Investigation on potential and limitations of ERA5 Reanalysis downscaled on Italy by a convection-permitting model

M Adinolfi, M Raffa, A Reder, P Mercogliano - Climate Dynamics, 2023 - Springer
This study presents a comprehensive assessment of a dynamical downscaling of ERA5
Reanalysis recently performed over Italy through the COSMO-CLM model at a convection …

Pre-failure suction-induced deformation to inform early warning of shallow landslides: proof of concept at slope model scale

L Coppola, A Reder, A Tarantino, G Mannara… - Engineering …, 2022 - Elsevier
The majority of the Landslide Early Warning Systems (LEWS) currently in operation are
based on the monitoring of rainfall data alone and this limits their performance due to false …