2020
DOI: 10.3390/w12061545
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Hydrometeorological Ensemble Forecast of a Highly Localized Convective Event in the Mediterranean

Abstract: The uncertainties that affect hydrometeorological modelling chains can be addressed through ensemble approaches. In this paper, a convection-permitting ensemble system was assessed based on the downscaling of all members of the ECMWF ensemble prediction system through the coupled atmospheric-hydrological WRF-Hydro modelling system. An exemplary highly localized convective event that occurred in a morphologically complex area of the southern Italian coast was selected as a case study, evaluating the performance… Show more

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Cited by 18 publications
(13 citation statements)
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“…Concerning the initialization data that are associated with the initial and boundary conditions (IBCs), they are critical to the WRF model's performance, as even a 6-h difference in the IBCs' lead time can result in significant differences in the simulated meteorological fields, including those of rainfall [29]. In the direction of considering the uncertainties in atmospheric IBCs, ensemble forecasting approaches can be beneficial [30], leading to probabilistic streamflow forecasts that can assist in quantifying the likelihood of impactbased thresholds' exceedance [31]. However, it should be noted that IBCs' ensemble forecasting introduces increased demands for computing resources and thus, it may not be feasible under an operational context.…”
Section: Discussionmentioning
confidence: 99%
“…Concerning the initialization data that are associated with the initial and boundary conditions (IBCs), they are critical to the WRF model's performance, as even a 6-h difference in the IBCs' lead time can result in significant differences in the simulated meteorological fields, including those of rainfall [29]. In the direction of considering the uncertainties in atmospheric IBCs, ensemble forecasting approaches can be beneficial [30], leading to probabilistic streamflow forecasts that can assist in quantifying the likelihood of impactbased thresholds' exceedance [31]. However, it should be noted that IBCs' ensemble forecasting introduces increased demands for computing resources and thus, it may not be feasible under an operational context.…”
Section: Discussionmentioning
confidence: 99%
“…The hydrological component of CHAOS is based on the WRF‐Hydro version 5.1.1 model (Gochis et al, 2020), because it is a fully‐distributed, multi‐physics, and multi‐scale hydrological model (Yucel, Onen, Yilmaz, & Gochis, 2015), with advanced capabilities for flood forecasting (Abbaszadeh, Gavahi, & Moradkhani, 2020; Avolio et al, 2019; Camera, Bruggeman, Zittis, Sofokleous, & Arnault, 2020; Furnari, Mendicino, & Senatore, 2020; Hunt & Menon, 2020; Lin et al, 2018; Ryu et al, 2017; Sun et al, 2020), and the ability to holistically represent atmosphere‐hydro‐land processes (Givati, Gochis, Rummler, & Kunstmann, 2016; Senatore et al, 2015). The hydrological component was set up on the innermost domain (D04: 250 m × 250 m) of the meteorological component covering the flooded region (Figure 3b).…”
Section: Methodsmentioning
confidence: 99%
“…Additional, two more parameters were included in the calibration procedure as suggested by Yucel et al (2015) and Senatore et al (2015) and Senatore, Furnari et al (2020); the overland flow roughness scaling factor and the initial retention height scaling factor. After the calibration tests, the two parameters were set to 1, with the values of 0.5 and 0.2 for the initial retention height scaling factor and 0.8 and 1.3 for overland flow roughness scaling factor also providing satisfactory results.…”
Section: Methodsmentioning
confidence: 99%
“…Papagiannaki et al (2013) and Diakakis (2012) provided evidence that Attica is the most affected area in Greece concerning weather-related hazards and particularly flash floods. Flash-flood events in Attica have been studied from the meteorological point of view (Lagouvardos et al, 1996; among others), the climatological aspect (Galanaki et al, 2016(Galanaki et al, , 2018, flood risk (Lasda et al, 2010;Kandilioti and Makropoulos, 2012), and vulnerability (Papagiannaki et al, , 2017. , in particular, found that impacts of floods increase significantly when 24 h accumulated rainfall exceeds 60 mm.…”
Section: Study Area and Datamentioning
confidence: 99%