[HTML][HTML] Estimating waves via measured ship responses

UD Nielsen, HB Bingham, AH Brodtkorb, T Iseki… - Scientific Reports, 2023 - nature.com
Optimisation of energy efficiency and operational performance as well as assessment of
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

EC Dike, CV Amaechi, SB Beddu, II Weje… - Science of the Total …, 2024 - Elsevier
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 …

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 …

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 …

[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 …

A spatiotemporal machine learning framework for the prediction of metocean conditions in the Gulf of Mexico

E Steele, J Chen, I Ashton, A Pillai… - Offshore Technology …, 2024 - onepetro.org
Abstract Machine learning techniques offer the potential to revolutionize the provision of
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 …

[PDF][PDF] Estimating Waves Through Measured Ship Responses

UD Nielsen, AH Brodtkorb, T Iseki, JJ Jensen… - … Workshop on Water …, 2023 - orbit.dtu.dk
Estimating Waves Through Measured Ship Responses Page 1 General rights Copyright and
moral rights for the publications made accessible in the public portal are retained by the …