Assimilating X- and S-Band Radar Data for a Heavy Precipitation Event in Italy

Capecchi, Valerio; Antonini, Andrea; Benedetti, Riccardo; Fibbi, Luca; Melani, Samantha; Rovai, Luca; Ricchi, Antonio; Cerrai, Diego

doi:10.3390/w13131727

Cited by 5 publications

(2 citation statements)

References 90 publications

(123 reference statements)

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“…In general, it is considered that a higher spatial resolution used in NWP models results in a higher realism of the produced weather forecasts, in particular for precipitation forecasts [13][14][15][16][17][18]. Convection-permitting spatial resolutions of the order of 1 km are used for high-resolution NWP models over limited areas.…”

Section: Challengesmentioning

confidence: 99%

Artificial Intelligence Revolutionises Weather Forecast, Climate Monitoring and Decadal Prediction

et al. 2021

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Artificial Intelligence (AI) is an explosively growing field of computer technology, which is expected to transform many aspects of our society in a profound way. AI techniques are used to analyse large amounts of unstructured and heterogeneous data and discover and exploit complex and intricate relations among these data, without recourse to an explicit analytical treatment of those relations. These AI techniques are unavoidable to make sense of the rapidly increasing data deluge and to respond to the challenging new demands in Weather Forecast (WF), Climate Monitoring (CM) and Decadal Prediction (DP). The use of AI techniques can lead simultaneously to: (1) a reduction of human development effort, (2) a more efficient use of computing resources and (3) an increased forecast quality. To realise this potential, a new generation of scientists combining atmospheric science domain knowledge and state-of-the-art AI skills needs to be trained. AI should become a cornerstone of future weather and climate observation and modelling systems.

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Section: Challengesmentioning

confidence: 99%

Artificial Intelligence Revolutionises Weather Forecast, Climate Monitoring and Decadal Prediction

et al. 2021

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“…In this context, there are many works in literature on V-shaped systems over Northwestern Italy, especially regarding Liguria and Tuscany [34][35][36][37][38][39]. Moreover, even Sicily is often affected by V-shaped storms [40].…”

Section: Introductionmentioning

confidence: 99%

Performance of the WRF Model for the Forecasting of the V-Shaped Storm Recorded on 11–12 November 2019 in the Eastern Sicily

et al. 2023

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During the autumn season, Sicily is often affected by severe weather events, such as self-healing storms called V-shaped storms. These phenomena cause significant total rainfall quantities in short time intervals in localized spatial areas. In this framework, this study analyzes the meteorological event recorded on 11–12 November 2019 in Sicily (southern Italy), using the Weather Research and Forecasting (WRF) model with a horizontal spatial grid resolution of 3 km. It is important to note that, in this event, the most significant rainfall accumulations were recorded in eastern Sicily. In particular, the weather station of Linguaglossa North Etna (Catania) recorded a total rainfall of 293.6 mm. The precipitation forecasting provided by the WRF model simulation has been compared with the data recorded by the meteorological stations located in Sicily. In addition, a further simulation was carried out using the Four-Dimensional Data Assimilation (FDDA) technique to improve the model capability in the event reproduction. In this regard, in order to evaluate which approach provides the best performance (with or without FDDA), the Root Mean Square Error (RMSE) and dichotomous indexes (Accuracy, Threat Score, BIAS, Probability of Detection, and False Alarm Rate) were calculated.

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Characterization of ensemble generation strategies: Application to three illustrative examples of Mediterranean high-impact weather

Hermoso

Homar

Romualdo

2023

Atmospheric Research

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Assimilating X- and S-Band Radar Data for a Heavy Precipitation Event in Italy

Cited by 5 publications

References 90 publications

Artificial Intelligence Revolutionises Weather Forecast, Climate Monitoring and Decadal Prediction

Artificial Intelligence Revolutionises Weather Forecast, Climate Monitoring and Decadal Prediction

Performance of the WRF Model for the Forecasting of the V-Shaped Storm Recorded on 11–12 November 2019 in the Eastern Sicily

Characterization of ensemble generation strategies: Application to three illustrative examples of Mediterranean high-impact weather

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