Articles | Volume 15, issue 1
https://doi.org/10.5194/nhess-15-1-2015
https://doi.org/10.5194/nhess-15-1-2015
Research article
 | 
05 Jan 2015
Research article |  | 05 Jan 2015

A new high-resolution BOLAM-MOLOCH suite for the SIMM forecasting system: assessment over two HyMeX intense observation periods

S. Mariani, M. Casaioli, E. Coraci, and P. Malguzzi

Related authors

Overview of the first HyMeX Special Observation Period over Italy: observations and model results
R. Ferretti, E. Pichelli, S. Gentile, I. Maiello, D. Cimini, S. Davolio, M. M. Miglietta, G. Panegrossi, L. Baldini, F. Pasi, F. S. Marzano, A. Zinzi, S. Mariani, M. Casaioli, G. Bartolini, N. Loglisci, A. Montani, C. Marsigli, A. Manzato, A. Pucillo, M. E. Ferrario, V. Colaiuda, and R. Rotunno
Hydrol. Earth Syst. Sci., 18, 1953–1977, https://doi.org/10.5194/hess-18-1953-2014,https://doi.org/10.5194/hess-18-1953-2014, 2014
An operational forecasting system for the meteorological and marine conditions in Mediterranean regional and coastal areas
M. Casaioli, F. Catini, R. Inghilesi, P. Lanucara, P. Malguzzi, S. Mariani, and A. Orasi
Adv. Sci. Res., 11, 11–23, https://doi.org/10.5194/asr-11-11-2014,https://doi.org/10.5194/asr-11-11-2014, 2014

Related subject area

Atmospheric, Meteorological and Climatological Hazards
Application of the teaching–learning-based optimization algorithm to an analytical model of thunderstorm outflows to analyze the variability of the downburst kinematic and geometric parameters
Andi Xhelaj and Massimiliano Burlando
Nat. Hazards Earth Syst. Sci., 24, 1657–1679, https://doi.org/10.5194/nhess-24-1657-2024,https://doi.org/10.5194/nhess-24-1657-2024, 2024
Short summary
Projections and uncertainties of winter windstorm damage in Europe in a changing climate
Luca G. Severino, Chahan M. Kropf, Hilla Afargan-Gerstman, Christopher Fairless, Andries Jan de Vries, Daniela I. V. Domeisen, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 24, 1555–1578, https://doi.org/10.5194/nhess-24-1555-2024,https://doi.org/10.5194/nhess-24-1555-2024, 2024
Short summary
Improving seasonal predictions of German Bight storm activity
Daniel Krieger, Sebastian Brune, Johanna Baehr, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 1539–1554, https://doi.org/10.5194/nhess-24-1539-2024,https://doi.org/10.5194/nhess-24-1539-2024, 2024
Short summary
A satellite view of the exceptionally warm summer of 2022 over Europe
João P. A. Martins, Sara Caetano, Carlos Pereira, Emanuel Dutra, and Rita M. Cardoso
Nat. Hazards Earth Syst. Sci., 24, 1501–1520, https://doi.org/10.5194/nhess-24-1501-2024,https://doi.org/10.5194/nhess-24-1501-2024, 2024
Short summary
Demographic yearbooks as a source of weather-related fatalities: the Czech Republic, 1919–2022
Rudolf Brázdil, Kateřina Chromá, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 1437–1457, https://doi.org/10.5194/nhess-24-1437-2024,https://doi.org/10.5194/nhess-24-1437-2024, 2024
Short summary

Cited articles

Bajo, M., Zampato, L., Umgiesser, G., Cucco, A., and Canestrelli, P.: A finite element operational model for storm surge prediction in Venice, Estuar. Coast. Shelf. S., 75, 236–249, https://doi.org/10.1016/j.ecss.2007.02.025, 2007.
Bajo, M., Coraci, E., and Umgiesser, G.: Sviluppo di un sistema operativo, basato su tecniche di assimilazione dati in tempo reale, per la previsione della marea reale presso le stazioni di riferimento della Rete mareografica della laguna di Venezia e del litorale Nord-Adriatico (RMLV), Rapporto tecnico finale, CNR-ISMAR, 34 pp., 2012.
Booij, N., Ris, R. C., and Holthuijsen, L. H.: A third-generation wave model for coastal regions, Part I: Model description and validation, J. Geophys. Res., 104, 7649–7666, 1999.
Brier, B. G. and Allen, R. A.: Verification of weather forecast, in: Compendium of Meteorology, edited by: Malone, T. F., Am. Meteorol. Soc., Boston, MA, 841–848, 1951.
Buizza, R., Houtekamer, P. L., Pellerin, G., Toth, Z., Zhu, Y., and Wei, M.: A comparison of the ECMWF, MSC, and NCEP Global Ensemble Prediction Systems, Mon. Weather Rev., 133, 1076–1097, 2005.
Download
Short summary
In the HyMeX framework, an intercomparison study of two different configurations of the ISPRA hydro-meteo-marine forecasting system (SIMM) has been performed to assess the forecast skill in predicting high precipitations and very intense storm surges over the northern Adriatic Sea (acqua alta). The results show an objective added value of the use of high-resolution meteorological models, and they suggest the opportunity to develop a time-lagged multi-model ensemble for the acqua alta prediction.
Altmetrics
Final-revised paper
Preprint