Internal Cycle of Seminars at IMEDEA (CISI) consist on a cycle of seminar presentations given mainly by doctoral students, masters and junior postdocs, although it is not closed to other staff, such as visitors and staff, that take place every Friday from 12:00 p.m. to 12:30 p.m in the seminar room os IMEDEA.

This represents a great opportunity to learn more about the research carried out at the Institute and to bring those with less experience , the chance of increasing their presentation and public speaking skills. Afterwards, there will be coffee and some biscuits  😉 We strongly encourage you to participate. Join us!

Do you want to participate with a presentation? Please contact the organising team:

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Featured Seminars
Internal Cycle of Seminars IMEDEA - Francisco Criado- «Mid-Term Beach Monitoring and Shoreline Change Detection: A Case Study of Son Bou Beach, Menorca»
Asbtract Beaches play a crucial role in protecting coastlines from wave energy, acting as the final barrier against coastal erosion. Sandy beaches are particularly susceptible to climate change effects, such as sea level rise and storminess. Understanding the dynamics of these environments amid ongoing changes is essential for designing effective adaptation measures and management strategies. However, the various factors influencing beach morphodynamics, coupled with their dynamic nature, render the integrated monitoring of these areas both resource-intensive and challenging in terms of time, human involvement, and economic resources. Therefore, long-term and high-frequency data-sets, including morphological and wave data, remain scarce in the literature. In this talk, I will present the preliminary results of the analysis of the Son Bou Beach (Menorca, Spain) data-set, with over 13 years (2011-2023) measurements, generated by the Modular Beach Integral Monitoring Systems (MOBIMS) from the Balearic Islands Coastal Observing and Forecasting System (SOCIB). The analysis focuses on characterizing the mid and short-term response of Son Bou beach by means of the shoreline position-change detection. A negative trend in beach width was observed, as well as different responses along the beach. The presence of a coastal lagoon and its opening periods have a significant impact on the beach behavior.

Previous Seminars

Internal Cycle of Seminars IMEDEA - Tim Tooney- «Future mean and extreme wave climate in the Mediterranean Sea»



The generation and propagation of waves towards the coastal regions during storm events can substantially increase coastal hazards associated with extreme sea levels. While the Mediterranean Sea is characterized by a fetch-limited environment, the progression of extra-tropical cyclones over its surface often engenders powerful waves. As climate numerical models consistently converge towards a global warming climate over the past few decades, the present wave climate is expected to undergo alterations. However, the reliability of the model projections differ among climate variables, exhibiting for instance higher confidence in the temperature than in precipitation variables. This study investigates future changes in the wave climate across the Mediterranean region using an extensive ensemble of wave numerical simulations.

These simulations were forced with wind fields from thirty-one GCM-RCMs (general circulation - regional climate models) of the European Coordinated Regional Climate Downscaling Experiment (EURO-CORDEX), integrating WaveWatch III and SCHISM numerical models. Future changes in the mean and intense (quantile 0.95) wave climate of significant wave height (Hs), peak wave period (Tp), peak wave direction (Dp) are assessed. Furthermore, we evaluate changes in 100-year return levels of Hs toward the end of the century. Extreme events from each GCM-RCM are aggregated into a single coherent distribution, following a bias correction procedure assuming the Cumulative Distribution Function (CDF) of extreme events to adhere to either a parametric Gumbel or Generalized Extreme Value (GEV) CDF, individually for each model. Return levels are then computed by fitting a GEV distribution to the unified distribution for both historical and future periods.

Our findings reveal an intensification of extreme waves towards the end of the century in several areas of the Mediterranean basin. Despite limitations inherent to bias-correction methods and return level computation, our study underscores the contrasting outcomes between analyzing the entire statistical distribution versus focusing solely on the tail, emphasizing the importance of considering both aspects in wave climate projections.