Preprints
https://doi.org/10.5194/essd-2022-454
https://doi.org/10.5194/essd-2022-454
 
12 Jan 2023
12 Jan 2023
Status: this preprint is currently under review for the journal ESSD.

The sea level time series of Trieste, Molo Sartorio, Italy (1869–2021)

Fabio Raicich Fabio Raicich
  • CNR, Institute of Marine Sciences, Trieste, I-34149, Italy

Abstract. The sea level observations carried out at Trieste, Molo Sartorio, from 1869 to 2021, have been revised and updated. Information on the tide gauges and on the geodetic benchmarks on Molo Sartorio during that period have been collected. Basic quality checks have been applied. The hourly data for the 1917–1938 period, digitised from the original charts, have allowed to build a time series of hourly sea level heights from 1905 to 2021. Gaps up to 24 hours have been filled by interpolation. The errors affecting the monthly and annual mean sea levels have been estimated. The availability of monthly and annual means prior to 1904 allowed to build a mean sea level time series spanning 153 years, characterised by linear trends of observed sea level of 1.39±0.15 mm yr-1 and of inverse-barometer-corrected sea level of 1.46±0.12 mm yr-1. A significant acceleration of 0.008±0.004 mm yr-2 was estimated from the inverse-barometer-corrected sea level time series. This data set represents the most up-to-date data set of sea level observations and ancillary information relative to the tide-gauge station of Trieste, Molo Sartorio.

The data are available through SEANOE (https://doi.org/10.17882/62758; Raicich, 2022).

Fabio Raicich

Status: open (until 09 Mar 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Fabio Raicich

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Sea-level observations at Trieste, Molo Sartorio, Italy Fabio Raicich https://doi.org/10.17882/62758

Fabio Raicich

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Short summary
In the changing climate, long sea level time series are essential to study the variability of the mean sea level and of the occurrence of extreme events on different time scales. This work summarizes the rescue and quality control of the ultra-centennial sea level data set of Trieste, Italy. The whole time series is characterised by a linear trend of about 1.4 mm yr-1, the period corresponding to the altimetry coverage by a trend of about 3.0 mm yr-1, similarly to the global ocean.