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Article

Detecting Extreme Rainfall Events Using the WRF-ERDS Workflow: The 15 July 2020 Palermo Case Study

1
Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, 10129 Torino, Italy
2
CIMA Research Foundation, 17100 Savona, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Shenglian Guo
Water 2022, 14(1), 86; https://doi.org/10.3390/w14010086
Received: 5 December 2021 / Revised: 20 December 2021 / Accepted: 31 December 2021 / Published: 3 January 2022
In this work, we describe the integration of Weather and Research Forecasting (WRF) forecasts produced by CIMA Research Foundation within ITHACA Extreme Rainfall Detection System (ERDS) to increase the forecasting skills of the overall early warning system. The entire workflow is applied to the heavy rainfall event that affected the city of Palermo on 15 July 2020, causing urban flooding due to an exceptional rainfall amount of more than 130 mm recorded in about 2.5 h. This rainfall event was not properly forecasted by meteorological models operational at the time of the event, thus not allowing to issue an adequate alert over that area. The results highlight that the improvement in the quantitative precipitation scenario forecast skills, supported by the adoption of the H2020 LEXIS computing facilities and by the assimilation of in situ observations, allowed the ERDS system to improve the prediction of the peak rainfall depths, thus paving the way to the potential issuing of an alert over the Palermo area. View Full-Text
Keywords: early warning system; ERDS; extreme rainfall; HPC; Italy; rainfall; Sicily; WRF model early warning system; ERDS; extreme rainfall; HPC; Italy; rainfall; Sicily; WRF model
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MDPI and ACS Style

Mazzoglio, P.; Parodi, A.; Parodi, A. Detecting Extreme Rainfall Events Using the WRF-ERDS Workflow: The 15 July 2020 Palermo Case Study. Water 2022, 14, 86. https://doi.org/10.3390/w14010086

AMA Style

Mazzoglio P, Parodi A, Parodi A. Detecting Extreme Rainfall Events Using the WRF-ERDS Workflow: The 15 July 2020 Palermo Case Study. Water. 2022; 14(1):86. https://doi.org/10.3390/w14010086

Chicago/Turabian Style

Mazzoglio, Paola, Andrea Parodi, and Antonio Parodi. 2022. "Detecting Extreme Rainfall Events Using the WRF-ERDS Workflow: The 15 July 2020 Palermo Case Study" Water 14, no. 1: 86. https://doi.org/10.3390/w14010086

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