Tracking marine litter with a global ocean model: where does it go? Where does it come from?

EP Chassignet, X Xu, O Zavala-Romero - Frontiers in Marine Science, 2021 - frontiersin.org
Plastic is the most abundant type of marine litter and it is found in all of the world's oceans
and seas, even in remote areas far from human activities. It is a major concern because …

US Navy operational global ocean and Arctic ice prediction systems

EJ Metzger, OM Smedstad, PG Thoppil, HE Hurlburt… - Oceanography, 2014 - JSTOR
The US Navy's operational global ocean nowcast/forecast system is presently comprised of
the 0.08° HYbrid Coordinate Ocean Model (HYCOM) and the Navy Coupled Ocean Data …

Near‐surface oceanic kinetic energy distributions from drifter observations and numerical models

BK Arbic, S Elipot, JM Brasch… - Journal of …, 2022 - Wiley Online Library
The geographical variability, frequency content, and vertical structure of near‐surface
oceanic kinetic energy (KE) are important for air‐sea interaction, marine ecosystems …

Applied machine learning model comparison: Predicting offshore platform integrity with gradient boosting algorithms and neural networks

AS Dyer, D Zaengle, JR Nelson, R Duran, M Wenzlick… - Marine Structures, 2022 - Elsevier
Offshore oil and gas platforms operating past their design life can pose significant risk to
operators and the surrounding environment, as the integrity of these structures decreases …

The Navy's Earth System Prediction Capability: A new global coupled atmosphere‐ocean‐sea ice prediction system designed for daily to subseasonal forecasting

N Barton, EJ Metzger, CA Reynolds… - Earth and Space …, 2021 - Wiley Online Library
This paper describes the new global Navy Earth System Prediction Capability (Navy‐ESPC)
coupled atmosphere‐ocean‐sea ice prediction system developed at the Naval Research …

Status and future of global and regional ocean prediction systems

M Tonani, M Balmaseda, L Bertino… - Journal of …, 2015 - Taylor & Francis
Operational evolution of global and regional ocean forecasting systems has been extremely
significant in recent years. Global Ocean Data Assimilation Experiment (GODAE) Oceanview …

[HTML][HTML] Assessment of high-resolution regional ocean reanalysis K-ORA22 for the Northwest Pacific

I Chang, YH Kim, YG Park, H Jin, G Pak, JI Kwon… - Progress in …, 2024 - Elsevier
Abstract The Korea Institute of Ocean Science and Technology developed the Korea
Operational Oceanographic System-Ocean Predictability Experiment for Marine …

Spatiotemporal evolution of slow slip events at the offshore Hikurangi Subduction Zone in 2019 using GNSS, InSAR, and seafloor geodetic data

K Woods, LM Wallace, CA Williams… - Journal of …, 2024 - Wiley Online Library
Detecting crustal deformation during transient deformation events at offshore subduction
zones remains challenging. The spatiotemporal evolution of slow slip events (SSEs) on the …

Probabilistic machine learning estimation of ocean mixed layer depth from dense satellite and sparse in situ observations

D Foster, DJ Gagne, DB Whitt - Journal of Advances in …, 2021 - Wiley Online Library
The ocean mixed layer plays an important role in the coupling between the upper ocean and
atmosphere across a wide range of time scales. Estimation of the variability of the ocean …

Estimation of the mixed layer depth in the Indian ocean from surface parameters: a clustering-neural network method

C Gu, J Qi, Y Zhao, W Yin, S Zhu - Sensors, 2022 - mdpi.com
The effective estimation of mixed-layer depth (MLD) plays a significant role in the study of
ocean dynamics and global climate change. However, the methods of estimating MLD still …