Advances in machine learning techniques can assist across a variety of stages in sea ice applications

C Eayrs, WS Lee, E Jin, JF Lemieux… - Bulletin of the …, 2024 - journals.ametsoc.org
Forty-two researchers from South Korea, China, Australia, Canada, Belgium, France, Italy,
and Norway were invited to discuss recent advances in sea ice modeling in order to situate …

Multi-task Deep Convolutional Network to Predict Sea Ice Concentration and Drift in the Arctic Ocean

Y Koo, M Rahnemoonfar - arXiv preprint arXiv:2311.00167, 2023 - arxiv.org
Forecasting sea ice concentration (SIC) and sea ice drift (SID) in the Arctic Ocean is of great
significance as the Arctic environment has been changed by the recent warming climate …

Self-Attention Convolutional Long Short-Term Memory for Short-Term Arctic Sea Ice Motion Prediction Using Advanced Microwave Scanning Radiometer Earth …

D Zhong, N Liu, L Yang, L Lin, H Chen - Remote Sensing, 2023 - mdpi.com
Over the past four decades, Arctic sea ice coverage has steadily declined. This loss of sea
ice has amplified solar radiation and heat absorption from the ocean, exacerbating both …

Estimating Winter Arctic Sea Ice Motion Based on Random Forest Models

L Zhang, Q Shi, M Leppäranta, J Liu, Q Yang - Remote Sensing, 2024 - mdpi.com
Sea ice motion (SIM) plays a crucial role in setting the distribution of the ice cover in the
Arctic. Limited by images' spatial resolution and tracking algorithms, challenges exist in …

Physics-Informed Machine Learning for Prediction of Sea Ice Dynamics Derived from Spaceborne Passive Microwave Data

Y Koo, M Rahnemoonfar - 2024 IEEE Radar Conference …, 2024 - ieeexplore.ieee.org
Spaceborne passive microwave (PMW) images have been used as primary data sources to
obtain sea ice concentration (SIC) and sea ice velocity (SIV) information in the polar oceans …

Autonomous Navigation in Ice-Covered Waters with Learned Predictions on Ship-Ice Interactions

N Zhong, A Potenza, SL Smith - arXiv preprint arXiv:2409.11326, 2024 - arxiv.org
Autonomous navigation in ice-covered waters poses significant challenges due to the
frequent lack of viable collision-free trajectories. When complete obstacle avoidance is …

[PDF][PDF] Estimating Winter Arctic Sea Ice Motion Based on Random Forest Models. Remote Sens. 2024, 16, 581

L Zhang, Q Shi, M Leppäranta, J Liu, Q Yang - 2024 - helda.helsinki.fi
Sea ice motion (SIM) plays a crucial role in setting the distribution of the ice cover in the
Arctic. Limited by images' spatial resolution and tracking algorithms, challenges exist in …

[PDF][PDF] Data Driven modelling of Sea Ice Drift

F Amor Roldan - 2024 - ntnuopen.ntnu.no
We develop a realistic simulation of sea ice drift and deformation using machine learning
(ML) techniques as an alternative to traditional physics-based numerical models. Traditional …

[图书][B] Freshwater Processes in the Upper Ocean

LA Hoffman - 2023 - search.proquest.com
Freshwater exchanges between the ocean–ice–atmosphere system play a crucial role in the
global climate system. This study provides an analysis of the local impact of freshwater …

Environmental Conditions Impacting Late-Summer Sea Ice Concentration Predictability in the Northwest Passage

K Obremski - 2024 - minds.wisconsin.edu
The Northwest Passage, located in the Canadian Archipelago, is a conglomerate of sea
routes that connect the eastern and western sides of the North American continent …