Coastal Sea Level Monitoring in the Mediterranean and Black Seas

Abstract

Abstract. Spanning over a century, a traditional way to monitor sea level variability by tide gauges is – in combination with modern observational techniques like satellite altimetry – an inevitable ingredient in sea level studies over the climate scales and in coastal seas. The development of the instrumentation, remote data acquisition, processing and archiving in last decades allowed for extending the applications towards a variety of users and coastal hazard managers. The Mediterranean and Black seas are an example for such a transition – while having a long tradition for sea level observations with several records spanning over a century, the number of modern tide gauge stations are growing rapidly, with data available both in real-time and as a research product at different time resolutions. As no comprehensive survey of the tide gauge networks has been carried out recently in these basins, the aim of this paper is to map the existing coastal sea level monitoring infrastructures and the respective data availability. The survey encompasses description of major monitoring networks in the Mediterranean and Black seas and their characteristics, including the type of sea level sensors, measuring resolutions, data availability and existence of ancillary measurements, altogether collecting information about 236 presently operational tide gauge stations. The availability of the Mediterranean and Black seas sea level data in the global and European sea level repositories has been also screened and classified following their sampling interval and level of quality-check, pointing to the necessity of harmonization of the data available with different metadata and series at different repositories. Finally, an assessment of the networks’ capabilities for their usage in different sea level applications has been done, with recommendations that might mitigate the bottlenecks and assure further development of the networks in a coordinated way, being that more necessary in the era of the human-induced climate changes and the sea level rise.

HIDRA2: deep-learning ensemble storm surge forecasting in the presence of seiches – the case of Northern Adriatic

“…2 for location), which is maintained by the Slovenian Environment Agency (ARSO) and is part of the European Sea Level Network (Pérez Gómez et al, 2022). Observations are obtained in 10-minute intervals, using both a float-type sensor and an additional radar sea level sensor, and they undergo subsequent quality control at ARSO (Pérez Gómez et al, 2022). Hourly data points are extracted to get the signal used in HIDRA2 training and evaluation.…”