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High-quality ocean and coastal circulation predictions strongly rely on the availability of accurate time series of main meteocean forcing, e.g. wind velocity, atmospheric air pressure. In this study, we formulated and tested on a real case a new approach for generating medium term time series of meteocean data from available reanalysis database. We used the fifth generation reanalysis (ERA5) of global climate and weather data. The methodology is based on the K-means clustering technique, which groups unlabeled data into different clusters. In particular, we implemented a subspace clustering method that includes an automatic weighting of the meteocean variables of interest. To test the performance, we apply the algorithm to the Pearl River Estuary (China). By comparing the proposed methodology with standard clustering analysis, our results suggest that the obtained meteocean scenarios (clusters) better reproduce the time trends of the main variables, in terms of typical indexes used for evaluating the goodness of clustering. Moreover, we showed how using climatological averages, commonly adopted for circulation and wave models, could lead to loosing the important local variability of the meteocean signals. The present approach could represent an advancement in time series clustering to be coupled with ocean and regional circulation models in ocean engineering applications. • We propose a novel clustering algorithm for meteocean time series. • The new algorithm improves the performance of existing clustering approaches. • The generated meteocean scenarios preserve the seasonality of the time series. [ABSTRACT FROM AUTHOR]

Abstract A user-friendly system designed to understand local littoral processes and design/evaluate coastal interventions, named the Coastal Modeling System (SMC ε) is presented. The system, which comprises a set of numerical models, state-of-the-art methodologies and numerical databases, is prepared to provide a method for coastal practitioners, researchers and decision-makers to address coastal issues, such as erosion and flooding or to evaluate coastal defense structures. The system incorporates a method to transfer numerically generated, calibrated and validated wave series to the surf zone; to estimate the sediment littoral drift by means of up-to-date formulations; and to estimate the flooding level and impacts such as those produced by climate change. In this paper, these skills are detailed. The system, which is adaptable to any coastal region, was implemented for the Brazilian coast (SMC-Brasil). The implementation includes databases and methodological adaptations to local characteristics, a dissemination plan and the development of several study cases. Highlights • SMCε is modeling software to deal with all stages of Coastal Engineering Projects. • Database includes 60-year time series of waves, storm surge and astronomical tide. • Methodology/models to study dynamics/impacts at all scales including climate change. • Erosion/flooding assessment due to interventions/natural causes even climate change. • SMCε is free and adaptable to any country. Adaption to Brazilian coast is described. [ABSTRACT FROM AUTHOR]