Operational tool for characterizing high-frequency sea level oscillations
Javier García-Valdecasas (),
Begoña Pérez Gómez,
Rafael Molina,
Alberto Rodríguez,
David Rodríguez,
Susana Pérez,
Álvaro Campos,
Pablo Rodríguez Rubio,
Sergio Gracia,
Luis Ripollés,
José María Terrés Nicoli,
Francisco Javier Santos and
Enrique Álvarez Fanjul
Additional contact information
Javier García-Valdecasas: Oritia & Boreas
Begoña Pérez Gómez: Puertos del Estado (PdE)
Rafael Molina: Universidad Politécnica de Madrid (UPM), HRL-UPM & CEHINAV-UPM
Alberto Rodríguez: Oritia & Boreas
David Rodríguez: Universidad Politécnica de Madrid (UPM), HRL-UPM & CEHINAV-UPM
Susana Pérez: Puertos del Estado (PdE)
Álvaro Campos: Universidad Politécnica de Madrid (UPM), HRL-UPM & CEHINAV-UPM
Pablo Rodríguez Rubio: Autoridad Portuaria Bahía de Algeciras
Sergio Gracia: Nologin
Luis Ripollés: Nologin
José María Terrés Nicoli: Oritia & Boreas
Francisco Javier Santos: Autoridad Portuaria Bahía de Algeciras
Enrique Álvarez Fanjul: Puertos del Estado (PdE)
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2021, vol. 106, issue 2, No 4, 1149-1167
Abstract:
Abstract The progressive upgrade of tide gauges to match tsunami warning requirements, tied with an upgrade of tide gauges with 1-min or less sampling and latency, has led to a huge amount of data available worldwide for studies of coastal hazards related to high-frequency sea level oscillations. This upgrade in the observation network poses a challenge in matching the operational data flow, quality control and processing, as well as an opportunity for a more immediate evaluation and understanding of the physical phenomena contained in the raw data, such as meteotsunamis and infragravity waves. The main purpose of this study is to present a new operational tool that enables, for the first time, user-friendly and fast exploitation of an up to now hidden information on high-frequency sea level oscillations. Developed and implemented for 40 tide gauges at the main ports of the Spanish coast, the new tool is based on the automatic analysis of 2-Hz raw data and the online publication of relevant products in near real time. It includes an event detection algorithm and a display calendar to select and review historical events, resulting in a revolutionary advanced toolbox, a new window to phenomena that affects ports operations and infrastructures. This toolbox, combined with the open dataset, provides the first steps for considering HFSLO in the definition of operational risk management. Dealing with these raw data in near real time requires careful selection of appropriate algorithms and quality control procedures, with therefore additional difficulties, that are discussed in this paper.
Keywords: High-frequency sea level oscillations; Tide gauges; Characterization; Alert system (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11069-020-04316-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:106:y:2021:i:2:d:10.1007_s11069-020-04316-x
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069
DOI: 10.1007/s11069-020-04316-x
Access Statistics for this article
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk
More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().