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pro vyhledávání: '"Koo, YoungHyun"'
Autor:
Koo, Younghyun, Rahnemoonfar, Maryam
The Ice-sheet and Sea-level System Model (ISSM) provides solutions for Stokes equations relevant to ice sheet dynamics by employing finite element and fine mesh adaption. However, since its finite element method is compatible only with Central Proces
Externí odkaz:
http://arxiv.org/abs/2407.01464
Autor:
Koo, Younghyun, Rahnemoonfar, Maryam
Although numerical models provide accurate solutions for ice sheet dynamics based on physics laws, they accompany intensified computational demands to solve partial differential equations. In recent years, convolutional neural networks (CNNs) have be
Externí odkaz:
http://arxiv.org/abs/2406.18423
The mass loss of the polar ice sheets contributes considerably to ongoing sea-level rise and changing ocean circulation, leading to coastal flooding and risking the homes and livelihoods of tens of millions of people globally. To address the complex
Externí odkaz:
http://arxiv.org/abs/2404.19536
Autor:
Rahnemoonfar, Maryam, Koo, Younghyun
Although the finite element approach of the Ice-sheet and Sea-level System Model (ISSM) solves ice dynamics problems governed by Stokes equations quickly and accurately, such numerical modeling requires intensive computation on central processing uni
Externí odkaz:
http://arxiv.org/abs/2402.05291
Multi-task Deep Convolutional Network to Predict Sea Ice Concentration and Drift in the Arctic Ocean
Autor:
Koo, Younghyun, Rahnemoonfar, Maryam
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. Given that physical sea ice models require high computational costs
Externí odkaz:
http://arxiv.org/abs/2311.00167
Global warming is an urgent issue that is generating catastrophic environmental changes, such as the melting of sea ice and glaciers, particularly in the polar regions. The melting pattern and retreat of polar sea ice cover is an essential indicator
Externí odkaz:
http://arxiv.org/abs/2303.12719
Akademický článek
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Publikováno v:
In Remote Sensing of Environment 1 October 2023 296
Publikováno v:
In Remote Sensing of Environment 1 October 2023 296
Autor:
Koo, YoungHyun, Lei, Ruibo, Cheng, Yubing, Cheng, Bin, Xie, Hongjie, Hoppmann, Mario, Kurtz, Nathan T., Ackley, Stephen F., Mestas-Nuñez, Alberto M.
Publikováno v:
In Remote Sensing of Environment 15 December 2021 267