Regionalized Mediterranean relative sea level projections under high-emission regional climate scenarios

Abstract Future sea level (SL) change in the Mediterranean Sea is one of the major climate hazards for populations living in coastal areas. In this study, we analyze projections of relative SL (RSL) rise in the Mediterranean Sea until the end of the 21st century. For the first time, we provide a detailed characterization of regional patterns of future SL change using an ensemble of three multi-decadal SSP5-8.5 scenario simulations with high-resolution fully coupled regional climate system models (RCSMs) of the Med-CORDEX initiative and their driving global climate models (GCMs). At the basin-scale, RCSMs do not significantly modify the GCM-projected RSL changes by 2100, with a mean RSL change of 69 cm (60–93 cm, 17th-83rd percentiles) relative to 1995–2014. Among the RSL components, the sterodynamic (primarily driven by the global thermal expansion) and the surface mass balance drive the basin-scale RSL rise, with the latter being the largest source of uncertainty. We find that the RSL rise in the Mediterranean is expected to be 4%–12% lower than the global mean due to differences in the surface mass contribution, and 6%–15% lower than in the nearby Atlantic as a result of dynamic adjustments within the semi-enclosed basin. While dynamic SL drives the mean regional patterns, vertical land motion introduces the greatest local spatial variability along coasts, resulting in a projected local RSL rise by 2100 of −26 cm to +178 cm in GCMs and −39 cm to +170 cm in RCSMs. Furthermore, compared to GCMs, RCSMs incorporate local details that result in greater spatial variability, which is important to consider in risk assessments and adaptation planning.

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Journal
Environmental Research Letters
Published
2025-10-21
DOI
https://doi.org/10.1088/1748-9326/ae15a5
Primary Topic
Geophysics and Gravity Measurements
Type
article
Field-Weighted Citation Impact
0.00

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article

Regionalized Mediterranean relative sea level projections under high-emission regional climate scenarios

Gianmaria Sannino, Piero Lionello, Gabriel Jordá, Iván Manuel Parras Berrocal et al.
Environmental Research Letters
Geophysics and Gravity Measurements
article

Regionalized Mediterranean relative sea level projections under high-emission regional climate scenarios

Gianmaria Sannino, Piero Lionello, Gabriel Jordá, Iván Manuel Parras Berrocal, Nicolás González, Samuel Somot, Bodo Ahrens, Robin Waldman, William Cabos
article en

Abstract

Abstract Future sea level (SL) change in the Mediterranean Sea is one of the major climate hazards for populations living in coastal areas. In this study, we analyze projections of relative SL (RSL) rise in the Mediterranean Sea until the end of the 21st century. For the first time, we provide a detailed characterization of regional patterns of future SL change using an ensemble of three multi-decadal SSP5-8.5 scenario simulations with high-resolution fully coupled regional climate system models (RCSMs) of the Med-CORDEX initiative and their driving global climate models (GCMs). At the basin-scale, RCSMs do not significantly modify the GCM-projected RSL changes by 2100, with a mean RSL change of 69 cm (60–93 cm, 17th-83rd percentiles) relative to 1995–2014. Among the RSL components, the sterodynamic (primarily driven by the global thermal expansion) and the surface mass balance drive the basin-scale RSL rise, with the latter being the largest source of uncertainty. We find that the RSL rise in the Mediterranean is expected to be 4%–12% lower than the global mean due to differences in the surface mass contribution, and 6%–15% lower than in the nearby Atlantic as a result of dynamic adjustments within the semi-enclosed basin. While dynamic SL drives the mean regional patterns, vertical land motion introduces the greatest local spatial variability along coasts, resulting in a projected local RSL rise by 2100 of −26 cm to +178 cm in GCMs and −39 cm to +170 cm in RCSMs. Furthermore, compared to GCMs, RCSMs incorporate local details that result in greater spatial variability, which is important to consider in risk assessments and adaptation planning.

Environmental Research LettersVol. 20(11)
National Agency for New Technologies, Energy and Sustainable Economic Development (IT), Goethe University Frankfurt (DE), Centre National de la Recherche Scientifique (FR), University of Salento (IT), Université Fédérale de Toulouse Midi-Pyrénées (FR), Universidad de Alcalá (ES), Instituto Español de Oceanografía (ES), Météo-France (FR), Henan Polytechnic University (CN)
Agence Nationale de la Recherche, Center for Neuroscience and Regenerative Medicine
Openalex Percentile: Top 70%
Geophysics and Gravity Measurements
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