Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Norberto C. Nadal-Caraballo"'
Autor:
Paula Camus, Ivan D. Haigh, Niall Quinn, Thomas Wahl, Thomas Benson, Ben Gouldby, Ahmed A. Nasr, Md Mamunur Rashid, Alejandra R. Enríquez, Stephen E. Darby, Robert J. Nicholls, Norberto C. Nadal-Caraballo
Publikováno v:
Weather and Climate Extremes, Vol 44, Iss , Pp 100662- (2024)
Storm surges are the most important driver of flooding in many coastal areas. Understanding the spatial extent of storm surge events has important financial and practical implications for flood risk management, reinsurance, infrastructure reliability
Externí odkaz:
https://doaj.org/article/921034d371aa4a73bba47e75b95020da
Publikováno v:
Weather and Climate Extremes, Vol 42, Iss , Pp 100628- (2023)
Estimating the storm surge magnitude and annual exceedance probability is a key element in the siting and design of coastal nuclear power plants in both the U.S. and France. However, differences in storm climatology, specifically the relative importa
Externí odkaz:
https://doaj.org/article/383bcca10dc14bb1b11e47b1b5a311bf
Autor:
Aikaterini P. Kyprioti, Alexandros A. Taflanidis, Norberto C. Nadal-Caraballo, Madison C. Yawn, Luke A. Aucoin
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 4, p 551 (2022)
Surrogate models, also referenced as metamodels, have emerged as attractive data-driven, predictive models for storm surge estimation. They are calibrated based on an existing database of synthetic storm simulations and can provide fast-to-compute ap
Externí odkaz:
https://doaj.org/article/737c59dda818424f992e07770d47a4c9
Autor:
Aikaterini P. Kyprioti, Christopher Irwin, Alexandros A. Taflanidis, Norberto C. Nadal-Caraballo, Madison C. Yawn, Luke A. Aucoin
Publikováno v:
Coastal Engineering. 180:104231
Autor:
Madison O. Campbell, Norberto C. Nadal-Caraballo, Aikaterini P. Kyprioti, Alexandros A. Taflanidis
Publikováno v:
Natural Hazards. 105:531-563
In order to accommodate the computational burden of high-fidelity storm surge numerical models, surrogate modeling (metamodeling) techniques have gained significant popularity over the past decade. Utilizing an existing database of synthetic storm si
Publikováno v:
Geo-Extreme 2021.
Autor:
Victor M. Gonzalez, Shubhra Misra, Abigail Stehno, Norberto C. Nadal-Caraballo, Jeffrey A. Melby
The US Army Corps of Engineers, Galveston District, is executing the Sabine Pass to Galveston Bay Coastal Storm Risk Management (CSRM) project for Brazoria, Jefferson, and Orange Counties regions. The project is currently in the Pre-construction, Eng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36bf4e6555fe628afee5ef9b3a61b283
https://doi.org/10.21079/11681/41901
https://doi.org/10.21079/11681/41901
Autor:
Victor M. Gonzalez, Norberto C. Nadal-Caraballo, Abigail Stehno, Thomas C. Massey, Jeffrey A. Melby, Shubhra Misra
The US Army Corps of Engineers, Galveston District, is executing the Sabine Pass to Galveston Bay Coastal Storm Risk Management (CSRM) project for Brazoria, Jefferson, and Orange Counties regions. The project is currently in the Pre-construction, Eng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2be2fbb15577bda984341d88d35249fb
https://doi.org/10.21079/11681/41820
https://doi.org/10.21079/11681/41820
The quantification of storm surge is vital for flood hazard assessment in communities affected by coastal storms. The astronomical tide is an integral component of the total still water level needed for accurate storm surge estimates. Coastal hazard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b204d7ab7ed8eff17c94296eafcae3c7
https://doi.org/10.21079/11681/41503
https://doi.org/10.21079/11681/41503
This Coastal and Hydraulics Engineering Technical Note (CHETN) describes the continuing efforts towards incorporating rapid tidal time-series reconstruction and prediction capabilities into the Coastal Hazards System (CHS) and the Stochastic Storm Si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcd6ed98a7627f67c04a57f526c02f99
https://doi.org/10.21079/11681/41482
https://doi.org/10.21079/11681/41482