Articles | Volume 15, issue 1
https://doi.org/10.5194/nhess-15-1-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-15-1-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
Institute for Environmental Protection and Research (ISPRA), Rome, Italy
M. Casaioli
Institute for Environmental Protection and Research (ISPRA), Rome, Italy
E. Coraci
Institute for Environmental Protection and Research (ISPRA), Rome, Italy
P. Malguzzi
Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR), Bologna, Italy
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16 citations as recorded by crossref.
- The prediction of floods in Venice: methods, models and uncertainty (review article) G. Umgiesser et al. 10.5194/nhess-21-2679-2021
- Investigation of the gridded flash flood Guidance in a Peri-Urban basin in greater Athens area, Greece A. Bournas & E. Baltas 10.1016/j.jhydrol.2022.127820
- Reconstruction of extreme floods and tsunamis from coastal sedimentary archives in Los Choros, Coquimbo region, 28°S, Chile K. Araya et al. 10.1007/s11069-024-06644-8
- Ensemble technique application to an XBeach-based coastal Early Warning System for the Northwest Adriatic Sea (Emilia-Romagna region, Italy) L. Biolchi et al. 10.1016/j.coastaleng.2022.104081
- Can meteorological model forecasts initialize hydrological simulations rather than observed data in ungauged basins? A. Ceppi et al. 10.1002/met.2165
- Improvement of RAMS precipitation forecast at the short-range through lightning data assimilation S. Federico et al. 10.5194/nhess-17-61-2017
- Integrated sea storm management strategy: the 29 October 2018 event in the Adriatic Sea C. Ferrarin et al. 10.5194/nhess-20-73-2020
- The Piedmont flood of November 1994: a testbed of forecasting capabilities of the CNR-ISAC meteorological model suite S. Davolio et al. 10.1007/s42865-020-00015-4
- Can an early-warning system help minimize the impacts of coastal storms? A case study of the 2012 Halloween storm, northern Italy M. Harley et al. 10.5194/nhess-16-209-2016
- Extreme events in Venice and in the North Adriatic Sea: 28–29 October 2018 S. Morucci et al. 10.1007/s12210-020-00882-1
- The predictive capacity of the high resolution weather research and forecasting model: a year-long verification over Italy L. Apicella et al. 10.1007/s42865-021-00032-x
- The Setup of the MesoVICT Project M. Dorninger et al. 10.1175/BAMS-D-17-0164.1
- Modelling the barotropic sea level in the Mediterranean Sea using data assimilation M. Bajo et al. 10.5194/os-19-559-2023
- The ARPAL atmospheric operational modeling chain and its applications: description and validation D. Sacchetti et al. 10.1007/s42865-024-00064-z
- Insights on the Extreme Storm Surge Event of the 22 November 2022 in the Venice Lagoon R. Mel et al. 10.3390/jmse11091750
- Forecasting of Extreme Storm Tide Events Using NARX Neural Network-Based Models F. Di Nunno et al. 10.3390/atmos12040512
4 citations as recorded by crossref.
- Diagnosis of a high-impact secondary cyclone during HyMeX-SOP1 IOP18 D. Carrió et al. 10.1016/j.atmosres.2020.104983
- Overview of the first HyMeX Special Observation Period over Italy: observations and model results R. Ferretti et al. 10.5194/hess-18-1953-2014
- An operational forecasting system for the meteorological and marine conditions in Mediterranean regional and coastal areas M. Casaioli et al. 10.5194/asr-11-11-2014
- Extreme events in Venice and in the North Adriatic Sea: 28–29 October 2018 S. Morucci et al. 10.1007/s12210-020-00882-1
Saved (final revised paper)
Latest update: 07 Nov 2024
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.
In the HyMeX framework, an intercomparison study of two different configurations of the ISPRA...
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