Advancing Arctic sea ice remote sensing with AI and deep learning: now and future

W Li, CY Hsu, M Tedesco - EGUsphere, 2024 - egusphere.copernicus.org
The revolutionary advances of Artificial Intelligence (AI) in the past decade have brought
transformative innovation across science and engineering disciplines. Also in the field of …

Short-Term (7 Day) Beaufort Sea Ice Extent Forecasting with Deep Learning

MR Keller, C Piatko… - … Intelligence for the …, 2023 - journals.ametsoc.org
Ships inside the Arctic basin require high-resolution (1–5 km), near-term (days to
semimonthly) forecasts for guidance on scales of interest to their operations where forecast …

Multi-task deep learning based spatiotemporal arctic sea ice forecasting

E Kim, P Kruse, S Lama, J Bourne, M Hu… - … Conference on Big …, 2021 - ieeexplore.ieee.org
Critical natural resources and processes in the Arctic depend heavily on sea ice. Thus,
accurate and timely predictions of Arctic sea ice changes is important. Arctic sea ice …

Quantifying causes of arctic amplification via deep learning based time-series causal inference

S Ali, O Faruque, Y Huang, MO Gani… - 2023 International …, 2023 - ieeexplore.ieee.org
The warming of the Arctic, also known as Arctic amplification, is led by several atmospheric
and oceanic drivers. However, the details of its underlying thermodynamic causes are still …

Mt-icenet-a spatial and multi-temporal deep learning model for arctic sea ice forecasting

S Ali, J Wang - 2022 IEEE/ACM International Conference on …, 2022 - ieeexplore.ieee.org
Arctic amplification has altered the climate patterns both regionally and globally, resulting in
more frequent and more intense extreme weather events in the past few decades. The …

Predicting September Arctic Sea Ice: A Multi-Model Seasonal Skill Comparison

M Bushuk, S Ali, DA Bailey, Q Bao… - Bulletin of the …, 2024 - journals.ametsoc.org
This study quantifies the state-of-the-art in the rapidly growing field of seasonal Arctic sea ice
prediction. A novel multi-model dataset of retrospective seasonal predictions of September …

Benchmarking probabilistic machine learning models for arctic sea ice forecasting

S Ali, SAM Mostafa, X Li, S Khanjani… - IGARSS 2022-2022 …, 2022 - ieeexplore.ieee.org
The Arctic is a region with unique climate features, motivating new AI methodologies to study
it. Unfortunately, Arctic sea ice has seen a continuous decline since 1979. This not only …

Surrogate Modelling for Sea Ice Concentration using Lightweight Neural Ensemble

J Borisova, NO Nikitin - arXiv preprint arXiv:2312.04330, 2023 - arxiv.org
The modeling and forecasting of sea ice conditions in the Arctic region are important tasks
for ship routing, offshore oil production, and environmental monitoring. We propose the …

Lightweight Neural Ensemble Approach for Arctic Sea Ice Forecasting

J Borisova, NO Nikitin - 2024 IEEE Congress on Evolutionary …, 2024 - ieeexplore.ieee.org
Predictive modeling of sea ice conditions in the Arctic region is important task for
environmental monitoring, climate change issue and offshore oil production. The existing …

Spatiotemporal Forecasting and Causality Methods for the Arctic Amplification

S Ali - 2024 - search.proquest.com
The Arctic is a region with unique climate features where warming has been almost three
times as fast as the rest of the world. The warming of the Arctic, also known as Arctic …