Felipe M. Moreno , Marcel R. de Barros , Artur Jordão , Marlon S. Mathias , Marcelo Dottori , Anna H. Reali Costa , Edson S. Gomi , Fabio G. Cozman , Eduardo A. Tannuri
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引用次数: 0
Abstract
Forecasting metocean conditions is essential for applications such as navigation and maritime operations. In this work, Leaky-integrator Echo State Networks (LiESN) are investigated to combine irregular time series of measurements to numerically modeled currents, producing a forecast of currents for a port entrance channel. The evaluated method can assimilate data from irregular time series, automatically addressing missing data. Different settings that convey scenarios with data unavailability before the forecast are evaluated using the Index of Agreement (IOA) and Mean Absolute Error (MAE) as the performance metrics. Results show that while a numerical model does not improve accuracy, it improves the system’s robustness in the case of missing data.
期刊介绍:
Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.