[HTML][HTML] Estimating waves via measured ship responses
Optimisation of energy efficiency and operational performance as well as assessment of
safety levels and emissions of marine operations require detailed information about the …
safety levels and emissions of marine operations require detailed information about the …
[HTML][HTML] Coastal Vulnerability Index sensitivity to shoreline position and coastal elevation parameters in the Niger Delta region, Nigeria
It is imperative to assess coastal vulnerability to safeguard coastal areas against extreme
events and sea-level rise. In the Niger Delta region, coastal vulnerability index assessment …
events and sea-level rise. In the Niger Delta region, coastal vulnerability index assessment …
Assessment of trimodal wave spectral parameters using machine learning methods and vessel response statistics to enhance safety of marine operations
J Procel, W Guachamin-Acero, J Portilla-Yandún… - Ocean …, 2024 - Elsevier
Safe execution of a Marine operation (MO) depends on accurate values of operational limits
and forecasting quality of environmental parameters, especially wave spectral parameters …
and forecasting quality of environmental parameters, especially wave spectral parameters …
Parameter identification algorithm for ship manoeuvrability and wave peak model based multi-innovation stochastic gradient algorithm use data filtering technique
Y Liu, S An, L Wang, Y He, Z Fan - Digital Signal Processing, 2024 - Elsevier
This paper addresses the issue of identifying ship motion parameters and wave peak
frequency. Utilising the Euler discretisation principle, we establish a discrete-time auto …
frequency. Utilising the Euler discretisation principle, we establish a discrete-time auto …
[HTML][HTML] Comparison of ERA5 turbulent fluxes at the air–sea interface with measurements from a wave‐following platform
S Benjeddou, D Bourras, C Luneau - Atmospheric and Oceanic Science …, 2024 - Elsevier
Turbulent fluxes at the air–sea interface were estimated with data collected in 2011–2020
with a low‐profile platform named OCARINA during eight experiments in five regions: 2011 …
with a low‐profile platform named OCARINA during eight experiments in five regions: 2011 …
A spatiotemporal machine learning framework for the prediction of metocean conditions in the Gulf of Mexico
Abstract Machine learning techniques offer the potential to revolutionize the provision of
metocean forecasts critical to the safe and successful operation of offshore infrastructure …
metocean forecasts critical to the safe and successful operation of offshore infrastructure …
Enhancing Offshore Wind Farm Met-Ocean Data Accessibility: A Machine Learning Approach With Satellite-Derived Wave Measurements in the Celtic Sea
S Whistler, IGC Ashton… - International …, 2024 - asmedigitalcollection.asme.org
Marine operations are a significant expense for offshore wind farms, representing up to one
third of total project costs. An improved understanding of the variation of met-ocean …
third of total project costs. An improved understanding of the variation of met-ocean …
[PDF][PDF] Estimating Waves Through Measured Ship Responses
Estimating Waves Through Measured Ship Responses Page 1 General rights Copyright and
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