Towards a monitoring system of the sea state based on microseism and machine learning

Minio, Vittorio; Borzì, Alfio Marco; Saitta, Susanna; Alparone, Salvatore; Cannata, Andrea; Ciraolo, Giuseppe; Contrafatto, Danilo; D’Amico, Sebastiano; Grazia, Giuseppe Di; Larocca, Graziano; Cannavò, Flavio

doi:10.1016/j.envsoft.2023.105781

Environmental Modelling & Software

2023

DOI: 10.1016/j.envsoft.2023.105781

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Towards a monitoring system of the sea state based on microseism and machine learning

Vittorio Minio

Alfio Marco Borzì

Susanna Saitta

et al.

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2024

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Cited by 2 publications

References 67 publications

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ARCHIMEDE—An Innovative Web-GIS Platform for the Study of Medicanes

Kushabaha,

Scardino,

Sabato

et al. 2024

Remote Sensing

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Mediterranean hurricanes, also known as medicanes, can cause significant damage to coastal communities. Consequently, they have been the subject of intense study in recent decades. Geographic Information Systems (GISs) and Web-GIS applications are essential for processing and analyzing geographic data from various sources, particularly in the field of spatial planning. Due to their ability to integrate heterogeneous information, these tools can provide experts with a comprehensive overview of relevant geospatial data. Here, we present ARCHIMEDE, a relational geodatabase connected to an open-source Web-GIS platform focused on Mediterranean hurricanes that contains data from recent research on these extreme weather phenomena. These datasets comprise climatic and oceanographic data obtained from remote sensing techniques as well as seismic and geomorphological data obtained from field observations. Consequently, this Web-GIS platform can enhance our understanding of Mediterranean cyclones by relating the physical properties of these natural phenomena with their impacts on coastal regions. ARCHIMEDE is an innovative tool for the dissemination of geographic information to stakeholders, researchers, and decision-makers, offering valuable support for the development of robust coastal management strategies aimed at mitigating the challenges posed by Mediterranean hurricanes.

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ARCHIMEDE—An Innovative Web-GIS Platform for the Study of Medicanes

Kushabaha,

Scardino,

Sabato

et al. 2024

Remote Sensing

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Integration of microseism, wavemeter buoy, HF radar and hindcast data to analyze the Mediterranean cyclone Helios

Borzì,

Minio,

De Plaen

et al. 2024

Ocean Sci.

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Abstract. In this work, we study a Mediterranean cyclone, Helios, which took place during 9–11 February 2023 in the southeastern part of Sicily and Malta, by a multiparametric approach combining microseism results with sea state and meteorological data provided by wavemeter buoy, HF radar, hindcast maps and satellite SEVIRI images. The sub-tropical system Helios caused heavy rainfall, strong wind gusts and violent storm surges with significant wave heights greater than 5 m. We deal with the relationships between such a system and the features of microseism (the most continuous and ubiquitous seismic signal on Earth) in terms of spectral content, space–time variation of the amplitude and source locations tracked by means of two methods (amplitude-based grid search and array techniques). By comparing the location of the microseism sources and the area affected by significant storm surges derived from sea state data, we note that the microseism location results are in agreement with the real position of the storm surges. In addition, we are able to obtain the seismic signature of Helios using a method that exploits the coherence of continuous seismic noise. Hence, we show how an innovative monitoring system of the Mediterranean cyclones can be designed by integrating microseism information with other techniques routinely used to study meteorological phenomena.

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Towards a monitoring system of the sea state based on microseism and machine learning

Cited by 2 publications

References 67 publications

ARCHIMEDE—An Innovative Web-GIS Platform for the Study of Medicanes

ARCHIMEDE—An Innovative Web-GIS Platform for the Study of Medicanes

Integration of microseism, wavemeter buoy, HF radar and hindcast data to analyze the Mediterranean cyclone Helios

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