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  • 1
    Publication Date: 2022-06-15
    Description: Abstract
    Description: The dataset comprises a range of variables describing characteristics of flood events and river catchments for 480 gauging stations in Germany and Austria. The event characteristics are asscoiated with annual maximum flood events in the period from 1951 to 2010. They include variables on event precipitation, antecedent catchment state, event catchment response, event timing, and event types. The catchment characteristics include variables on catchment area, catchment wetness, tail heaviness of rainfall, nonlinearity of catchment response, and synchronicity of precipitation and catchment state. The variables were compiled as potential predictors of heavy tail behaviour of flood peak distributions. They are based on gauge observations of discharge, E-OBS meteorological data (Haylock et al. 2008), mHM hydrological model simulations (Samaniego et al., 2010), 4DAS climate reanalysis data (Primo et al., 2019), and the 25x25 m resolution EU-DEM v1.1. A short description of the data processing is included in the file inventory and more details can be found in Macdonald et al. (202x) (Citation of article “Event and Catchment Controls of Heavy Tail Behavior of Floods” when available).
    Keywords: flood event-causing precipitation ; pre-event moisture state ; catchment response ; flood event types ; catchment characteristics ; climate 〉 meteorological phenomenon 〉 atmospheric precipitation ; EARTH SCIENCE 〉 ATMOSPHERE 〉 PRECIPITATION 〉 PRECIPITATION AMOUNT ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 SOIL MOISTURE/WATER CONTENT ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SURFACE WATER 〉 FLOODS ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SURFACE WATER 〉 RIVERS/STREAMS ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SURFACE WATER 〉 WATERSHED CHARACTERISTICS ; hydrosphere 〉 hydrologic cycle 〉 flood 〉 flood runoff ; hydrosphere 〉 water (geographic) 〉 surface water 〉 freshwater 〉 rain water ; pedosphere 〉 soil 〉 soil water 〉 soil moisture ; science 〉 natural science 〉 atmospheric science 〉 meteorology 〉 hydrometeorology
    Type: Dataset , Dataset
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  • 2
    Publication Date: 2021-07-14
    Description: Abstract Exploiting the added value of the ensemble of high-resolution model simulations provided by the Med- CORDEX coordinated initiative, an updated assessment of Mediterranean extreme precipitation events as represented in different observational, reanalysis and modelling datasets is presented. A spatiotemporal characterisation of the long-term statistics of extreme precipitation is performed, using a number of different diagnostic indices. Employing a novel approach based on the timing of extreme precipitation events a number of physically consistent subregions are defined. The comparison of different diagnostics over the Mediterranean domain and physically homogeneous sub-domains is presented and discussed, focussing on the relative impact of several model configuration features (resolution, coupling, physical parameterisations) on the performance in reproducing extreme precipitation events. It is found that the agreement between the observed and modelled long-term statistics of extreme precipitation is more sensitive to the model physics, in particular convective parameterisation, than to other model configurations such as resolution and coupling.
    Description: Published
    Description: 901-913
    Description: 4A. Oceanografia e clima
    Description: JCR Journal
    Keywords: Extreme precipitation · Mediterranean climate · Regional climate modelling ; Mediterranean climate ·
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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