Articles | Volume 21, issue 3
https://doi.org/10.5194/os-21-1003-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-21-1003-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jun 2025
Research article |
| 16 Jun 2025
| 16 Jun 2025
AdriE: a high-resolution ocean model ensemble for the Adriatic Sea under severe climate change conditions
National Research Council of Italy, Institute of Marine Sciences (CNR-ISMAR), Venice, Italy
Sandro Carniel
National Research Council of Italy, Institute of Polar Sciences, (CNR-ISP), Venice, Italy
Renato R. Colucci
National Research Council of Italy, Institute of Polar Sciences, (CNR-ISP), Venice, Italy
previously at: CNR-ISMAR, Trieste, Italy
Cléa Denamiel
Ruder Bošković Institute, Division for Marine and Environmental Research, Zagreb, Croatia
Institute of Adriatic Crops and Karst Reclamation, Split, Croatia
Petra Pranić
Institute of Oceanography and Fisheries, Split, Croatia
Fabio Raicich
National Research Council of Italy, Institute of Marine Sciences (CNR-ISMAR), Trieste, Italy
Antonio Ricchi
Department of Physical and Chemical Sciences, University of L'Aquila, L'Aquila, Italy
Center of Excellence in Telesensing of Environment and Model Prediction of Severe Events (CETEMPS), University of L'Aquila, L'Aquila, Italy
Lorenzo Sangelantoni
CMCC Foundation – Euro-Mediterranean Center on Climate Change, Bologna, Italy
Ivica Vilibić
Ruder Bošković Institute, Division for Marine and Environmental Research, Zagreb, Croatia
Institute of Adriatic Crops and Karst Reclamation, Split, Croatia
Maria Letizia Vitelletti
National Research Council of Italy, Institute of Marine Sciences (CNR-ISMAR), Venice, Italy
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Iva Tojčić, Cléa Denamiel, and Ivica Vilibić
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This study quantifies the performance of the Croatian meteotsunami early warning system (CMeEWS) composed of a network of air pressure and sea level observations developed in order to help coastal communities prepare for extreme events. The system would have triggered the warnings for most of the observed events but also set off some false alarms if it was operational during the multi-meteotsunami event of 11–19 May 2020 in the eastern Adriatic. Further development of the system is planned.
Fabio Raicich and Renato R. Colucci
Earth Syst. Sci. Data, 13, 3363–3377, https://doi.org/10.5194/essd-13-3363-2021, https://doi.org/10.5194/essd-13-3363-2021, 2021
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To understand climate change, it is essential to analyse long time series of atmospheric data. Here we studied the atmospheric pressure observed at Trieste (Italy) from 1841 to 2018. We examined the available information on the characteristics and elevations of the barometers and on the data sampling. A basic data quality control was also applied. As a result, we built a homogeneous time series of daily mean pressures at mean sea level, from which a trend of 0.5 hPa per century was estimated.
Cléa Denamiel, Petra Pranić, Damir Ivanković, Iva Tojčić, and Ivica Vilibić
Geosci. Model Dev., 14, 3995–4017, https://doi.org/10.5194/gmd-14-3995-2021, https://doi.org/10.5194/gmd-14-3995-2021, 2021
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The atmospheric results of the Adriatic Sea and Coast (AdriSC) climate simulation (1987–2017) are evaluated against available observational datasets in the Adriatic region. Generally, the AdriSC model performs better than regional climate models that have resolutions that are 4 times more coarse, except concerning summer temperatures, which are systematically underestimated. High-resolution climate models may thus provide new insights about the local impacts of global warming in the Adriatic.
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Short summary
We present a high-resolution modelling effort to investigate the possible end-of-century evolution of the main physical processes in the Adriatic Sea in a severe climate change scenario, with an ensemble approach (i.e. use of multiple simulations) allowing us to control the uncertainty of the predictions. Our model exhibits a satisfactory capability to reproduce the recent past and provides a basis for a set of multidisciplinary studies in this area over a multi-decadal horizon.
We present a high-resolution modelling effort to investigate the possible end-of-century...
