Clara Armaroli

Dr. Clara Armaroli

orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 March 2012 in Geomorphology
Verified
Journal Article
Closed access
CAClara Armaroli
Clara Armaroli
Paolo CiavolaPaolo Ciavola
Paolo Ciavola
LPLuisa Perini
Luisa Perini
LCLorenzo Calabrese
Lorenzo Calabrese
SLSamantha Lorito
Samantha Lorito
MMMarinella Masina
Marinella Masina

1 June 2007 in Coastal Engineering
Verified
Journal Article
Closed access
AKA. Kroon
A. Kroon
MDM.A. Davidson
M.A. Davidson
SAS.G.J. Aarninkhof
S.G.J. Aarninkhof
Renata ArchettiRenata Archetti
Renata Archetti
CAClara Armaroli
Clara Armaroli
RSR. Spanhoff
R. Spanhoff

1 January 2020 in Ocean & Coastal Management
Verified
Journal Article
Closed access
ISIvan Sekovski
Ivan Sekovski
LRLaura Del Río
Laura Del Río
CAClara Armaroli
Clara Armaroli

21 January 2016 in Natural Hazards and Earth System Sciences
Verified
Journal Article
Open access
PDF file
MHMitchell Harley
Mitchell Harley
AVAndrea Valentini
Andrea Valentini
CAClara Armaroli
Clara Armaroli
LPL. Perini
L. Perini
LCL. Calabrese
L. Calabrese
Paolo CiavolaPaolo Ciavola
Paolo Ciavola
The Emilia-Romagna early-warning system (ER-EWS) is a state-of-the-art coastal forecasting system that comprises a series of numerical models (COSMO, ROMS, SWAN and XBeach) to obtain a daily 3-day forecast of coastal storm hazard at eight key sites along the Emilia-Romagna coastline (northern Italy). On the night of 31 October 2012, a major storm event occurred that resulted in elevated water levels (equivalent to a 1-in-20- to 1-in-50-year event) and widespread erosion and flooding. Since this storm happened just 1 month prior to the roll-out of the ER-EWS, the forecast performance related to this event is unknown. The aim of this study was to therefore reanalyse the ER-EWS as if it had been operating a day before the event and determine to what extent the forecasts may have helped reduce storm impacts. Three different reanalysis modes were undertaken: (1) a default forecast (DF) mode based on 3-day wave and water-level forecasts and default XBeach parameters; (2) a measured offshore (MO) forecast mode using wave and water-level measurements and default XBeach parameters; and (3) a calibrated XBeach (CX) mode using measured boundary conditions and an optimized parameter set obtained through an extensive calibration process. The results indicate that, while a "code-red" alert would have been issued for the DF mode, an underprediction of the extreme water levels of this event limited high-hazard forecasts to only two of the eight ER-EWS sites. Forecasts based on measured offshore conditions (the MO mode) more-accurately indicate high-hazard conditions for all eight sites. Further considerable improvements are observed using an optimized XBeach parameter set (the CX mode) compared to default parameters. A series of what-if scenarios at one of the sites show that artificial dunes, which are a common management strategy along this coastline, could have hypothetically been constructed as an emergency procedure to potentially reduce storm impacts.

1 November 2011 in Environmental Science & Policy
Verified
Journal Article
Closed access
Paolo CiavolaPaolo Ciavola
Paolo Ciavola
OFOscar Ferreira
Oscar Ferreira
PHPiet Haerens
Piet Haerens
MKMark Van Koningsveld
Mark Van Koningsveld
CAClara Armaroli
Clara Armaroli