The frequency of extreme meteo-marine events in the Malta-Sicily Channel has increased during the last decades due to climate change, resulting in an increased risk of threats from the sea. It is therefore increasingly important to take actions to mitigate these threats. Currently, the data collected from the monitoring systems available in the Sicily-Malta Channel is not adequate for this purpose.
This project objective will be achieved through the implementation of an innovative monitoring network that will integrate different measurement technologies (including HF radars, microseism sensors, sea level probes, wave buoys and weather stations). The installation of new measurement stations in strategic points will expand the already available operational networks (weather station and HF radar). A standardisation process applied to the data acquired by different technologies will ensure the integration with meteo-marine in situ, with products of both the ECMWF and the COPERNICUS-CMEMS downstream service. Machine and deep learning algorithms will allow the characterization of the sea state through the microseism data. A spectral wave model will be forced also using data from the innovative measurement network to provide a real-time sea state monitoring at regular spatial-temporal grid over a larger domain.
The final i-WaveNET outcome is a Decision Support System (DSS) capable to cross data from the innovative sea state monitoring system with other data to allow stakeholder and responsible entities to improve their efficiency in managing the emergencies; thus, for all stakeholders, i-WaveNET data and products will represent new valuable tools for the sea risk mitigation.