Sea Monitoring Networks

Ferla, Maurizio; Nardone, Gabriele; Orasi, Arianna; Picone, Marco; Falco, Pierpaolo; Zambianchi, Enrico

doi:10.1007/978-3-030-82024-4_9

Cited by 8 publications

(5 citation statements)

References 43 publications

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“…Today, HFr systems are used worldwide [62,63] as efficient instruments for simultaneously measuring and monitoring surface currents [23][24][25]64] and wave parameters [9,[65][66][67][68][69]. In this study, we analyzed a fifty-six-month long wave-data time series, recorded by Sea-Sonde HFr systems installed in the GoN, with a special focus on sea storms.…”

Section: Discussionmentioning

confidence: 99%

Sea Storm Analysis: Evaluation of Multiannual Wave Parameters Retrieved from HF Radar and Wave Model

et al. 2022

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Intense atmospheric disturbances, which impact directly on the sea surface causing a significant increase in wave height and sometimes strong storm surges, have become increasingly frequent in recent years in the Mediterranean Sea, producing extreme concern in highly populated coastal areas, such as the Gulf of Naples (Western Mediterranean Sea, Central Tyrrhenian Sea). In this work, fifty-six months of wave parameters retrieved by an HF radar network are integrated with numerical outputs to analyze the seasonality of extreme events in the study area and to investigate the performance of HF radars while increasing their distances from the coast. The model employed is the MWM (Mediterranean Wind-Wave Model), providing a wind-wave dataset based on numerical models (the hindcast approach) and implemented in the study area with a 0.03° spatial resolution. The integration and comparison with the MWM dataset, carried out using wave parameters and spectral information, allowed us to analyze the availability and accuracy of HF sampling during the investigated period. The statistical comparisons highlight agreement between the model and the HF radars during episodes of sea storms. The results confirm the potential of HF radar systems as long-term monitoring observation platforms, and allow us to give further indications on the seasonality of sea storms under different meteorological conditions and on their energy content in semi-enclosed coastal areas, such as the Gulf of Naples.

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Section: Discussionmentioning

confidence: 99%

Sea Storm Analysis: Evaluation of Multiannual Wave Parameters Retrieved from HF Radar and Wave Model

et al. 2022

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“…9 of this same volume [36]. As explained in [36], HF radar signals are backscattered by the sea surface roughness induced by the presence of gravity waves [37]. In presence of Bragg scattering, the backscattered signal yields a Doppler shift owing to the underlying currents [38]; these are the strongest signals reflected by the Fig.…”

Section: Sea Wave Monitoring By Coastal Hf Radarsmentioning

confidence: 90%

“…The functioning principles of coastal HF radars are very briefly described in chap. 9 of this same volume [36]. As explained in [36], HF radar signals are backscattered by the sea surface roughness induced by the presence of gravity waves [37].…”

Section: Sea Wave Monitoring By Coastal Hf Radarsmentioning

confidence: 95%

“…However, even though in the awareness of the above caveats, the use of HF radars to estimate surface wave parameters is becoming more and more widespread as this kind of instruments has started to be clustered in local and larger-scale networks Dark grey: first-order Bragg peaks, used for surface current estimation (theoretical positions shown with dotted lines); medium grey: second-order spectrum used for significant wave height and directional spectrum estimation; light grey: additional part of the second-order spectrum used in mean period estimation. From [40], reprinted by permission [36], even though we are still far from being able to deliver HF radar-derived wave data on an operational basis (even though steps are being taken in this direction: see [53,54]). Such measurements have been carried out so far in various coastal areas of the world ocean, spanning from California to New Jersey, from northwestern Spain to the British and Irish coasts, to Norway, and in the Mediterranean in the Malta-Sicily Channel and in the Gulf of Naples [55][56][57][58][59][60][61][62][63][64].…”

Section: Sea Wave Monitoring By Coastal Hf Radarsmentioning

confidence: 99%

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Measurement of Sea Waves

Piscopo

Rossi

Crenna

et al. 2022

Measurement for the Sea

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This chapter focuses on the analysis and measurement of sea waves. After a brief review about the generation and propagation of ocean waves, the most common wave spectra are briefly described. Subsequently, the spectral analysis of sea waves is discussed focusing on the most promising techniques that allow obtaining the sea state parameters starting from the wave elevation time history. Finally, two techniques useful to measure the sea wave parameters are outlined. The former is based on the reverse analysis of the motions a ship advancing at a constant speed in a seaway, and the latter focuses on the employment of coastal high-frequency radars.

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“…The quality of these data is considered of primary importance because it must guarantee the accuracy of the monitoring. For this reason, ISPRA applies a specific data quality control procedure that is based on international guidelines, both in real time and delayed [ 8 ]. The real-time data quality control procedure is developed as follows: A nominal 30-min data slice is filtered on the signal with a seventh-order low-pass Butterworth filter with a frequency cutoff of 0.6 Hz to avoid aliasing errors.…”

Section: Introduction: Post-processing Needs For a National Wave Buoy...mentioning

confidence: 99%

Improvement in the Post-Processing of Wave Buoy Data Driven by the Needs of a National Coast and Sea Monitoring Agency

Rossi

Nardone

Settanta

et al. 2023

Sensors

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Technological development in terms of the power requirement for data acquisition and processing opens new perspectives in the field of environmental monitoring. Near real-time data flow about the sea condition and a possible direct interface with applications and services devoted to marine weather networks would have a significant impact on several aspects, such as, for example, safety and efficiency. In this scenario, the needs of buoy networks have been analyzed, and the estimation of directional wave spectra from buoys’ data has been deeply investigated. Two methods have been implemented, namely the truncated Fourier series and the weighted truncated Fourier series, and they have been tested by both simulated and real experimental data, representative of typical Mediterranean Sea conditions. From simulation, the second method proved to be more efficient. From the application to real case studies, it emerged that it works effectively in real conditions, as confirmed by parallel meteorological observations. The estimation of the main propagation direction was possible with a small uncertainty of a few degrees, yet the method exhibits a limited directional resolution, which suggests the need for undertaking further studies, briefly addressed in the conclusions.

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Sea Monitoring Networks

Cited by 8 publications

References 43 publications

Sea Storm Analysis: Evaluation of Multiannual Wave Parameters Retrieved from HF Radar and Wave Model

Sea Storm Analysis: Evaluation of Multiannual Wave Parameters Retrieved from HF Radar and Wave Model

Measurement of Sea Waves

Improvement in the Post-Processing of Wave Buoy Data Driven by the Needs of a National Coast and Sea Monitoring Agency

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