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The objective of the work is to evaluate a data assimilation scheme for improving the reliability of the wave predictions in the Black Sea. A wave modeling system, SWAN based, has been implemented in the Black Sea and it was extensively tested against both in situ and remotely sensed measurements. Subsequently, this system was focused on various coastal environments in a multi-level nested scheme...
Results of a one year hindcast wave simulation using four different modelling approaches are compared against measurements in Liverpool Bay in the Irish Sea, where an offshore wind farm is located. The different modelling approaches include the use of global or mesoscale wind as forcing, the use of different complexity in shallow water parameterizations and different spatial resolution. Comparisons...
A detection methodology for marine debris presence after a natural disaster is described. The methodology is based both on a predictive model and a Bayesian hierarchical spatial method. The chosen fusion approach relies on auto-logistic regression to weight the outputs of multiple target detection algorithms, as well as to capture the intrinsic processes related to the presence of marine debris. The...
Three types of statistical models have been used to create up to 24h forecasts of the zonal and meridional components of wave energy flux levels at three directional buoys located in the Bay of Biscay. Hourly observations of the mean wave period and the significant height covering the 1999–2012 period have been used for this purpose. Additionally, data from the ocean (WAM model) and atmospheric components...
This study investigates the performance of a multivariate Ensemble Kalman Filter coupled with a relocatable limited-area configuration of the Regional Ocean Modeling System to predict ocean states by assimilating a heterogeneous data set involving underwater gliders and ship observations. In particular, two different ensemble initialization techniques are exploited and evaluated with the dataset collected...
While ocean vehicles often operate in nonuniform currents, the effects of flow gradients on vehicle dynamics are typically ignored in motion models used for control. As applications for autonomous underwater vehicles (AUVs) expand into more constrained, dynamic environments, such as underwater docking, the benefits of using more precise motion models for motion prediction and control become more compelling...
Integrity of pipelines transporting hydrocarbons over long distances is a growing and challenging problem for Oil&Gas companies, since the age of plants and components is worldwide increasing. Internal corrosion is one of the most dangerous damage mechanisms active in pipelines. Since it is due to interaction of different mechanisms, a large degree of uncertainty is associated with the attempt...
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