- 1LaMMA Consortium, Sesto Fiorentino (Firenze), Italy (gozzini@lamma.toscana.it)
- 2Agenzia Nazionale per la Meteorologia e Climatologia "ItaliaMeteo", Bologna, italy
- 3Institute of Bioeconomy (CNR-IBE), Firenze, Italy
- 4Institute of Marine Sciences (CNR-ISMAR), Firenze, Italy
This study presents the results of a long-term wave hindcast covering the period 1975–2024 over
the Mediterranean Sea. The hindcast was produced through a dynamical downscaling approach,
based on a chain of numerical models. ERA5 global reanalysis data were downscaled using the
BOLAM and MOLOCH atmospheric models, providing the wind forcing for the WW3 wave model,
which simulated the sea state. WW3 adopts an unstructured computational grid with variable
resolution, reaching up to 500 meters along the Ligurian and Tyrrhenian coasts (Italy), allowing for
a detailed representation of the coastal wave climate.
Although hindcasts do not assimilate observational data, validation against in-situ observations
shows that the generated wind and wave fields are robust and reliable, providing added value
compared to global reanalyses. The resulting dataset represents a valuable resource for wave
climate studies, coastal risk assessment, and the analysis of long-term variability in the
Mediterranean region.
The availability of such a long-term, high-resolution hindcast enables several potential
applications. It provides a solid baseline for trend analysis and climate variability studies and can
support the identification of suitable areas for offshore renewable energy development. We
present user cases in which the dataset was used to assess both atmospheric and marine
conditions over sea areas involved in particularly sensitive operations, where atmospheric
dynamics play a critical role. We show statistical analyses performed to produce monthly waiting
time tables (expressed in hours), estimating how long it typically takes for sea state conditions to
fall within the operational thresholds required to safely carry out planned maritime activities.
Finally, we conclude with some considerations on the computational efficiency of the modelling
framework adopted, which makes the dataset particularly suitable for operational updates and
facilitates its regular extension to future years.
How to cite: Gozzini, B., Capecchi, V., Pasi, F., Brandini, C., and Taddei, S.: Reconstructing 50 years (1975-2024) of wave climate over the Mediterranean sea using a high-resolution hindcast, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-654, https://doi.org/10.5194/ems2025-654, 2025.