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IEEE Computing Edge IEEE Computing Edge
4区 计算机科学 Q2 Engineering Pub Date : 2023-05-01 DOI: 10.1109/mcse.2023.3324173
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引用次数: 0
IEEE Computer Society Volunteer Service Awards IEEE计算机协会志愿者服务奖
4区 计算机科学 Q2 Engineering Pub Date : 2023-05-01 DOI: 10.1109/mcse.2023.3324167
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引用次数: 0
Managing Software Provenance to Enhance Reproducibility in Computational Research 管理软件来源以提高计算研究的可重复性
4区 计算机科学 Q2 Engineering Pub Date : 2023-05-01 DOI: 10.1109/mcse.2023.3314288
Akash Dhruv, Anshu Dubey
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引用次数: 1
Statistical Generation of Ocean Forcing With Spatiotemporal Variability for Ice Sheet Models 冰盖模式中具有时空变率的海洋强迫的统计生成
IF 2.1 4区 计算机科学 Q2 Engineering Pub Date : 2023-05-01 DOI: 10.1109/MCSE.2023.3300908
Shivaprakash Muruganandham, A. Robel, M. Hoffman, Stephen F. Price
Melting of ice at the base of floating ice shelves that fringe the Antarctic ice sheet has been identified as a significant source of uncertainty in sea level rise projections. Part of this uncertainty derives from chaotic internal variability of the coupled ocean-atmosphere system. For numerical ice sheet model projections, this uncertainty has not previously been quantified because of the prohibitive computational expense of running large climate model ensembles. Here, we develop and demonstrate a technique that generates independent realizations of internal climate variability from a single climate model simulation. Building on previous developments in model emulation, this technique uses empirical orthogonal function decomposition and Fourier-phase randomization to generate statistically consistent realizations of spatiotemporal variability fields for the target climate variable. The method facilitates efficient sampling of a wide range of climate trajectories, which can also be incorporated within ice sheet or other physical models to represent feedback processes.
在南极冰盖边缘的浮冰架底部的冰融化已被确定为海平面上升预估的一个重要不确定性来源。这种不确定性部分来自耦合海洋-大气系统的混沌内部变率。对于数值冰盖模式预估,由于运行大型气候模式组合的计算费用过高,这种不确定性以前没有被量化。在这里,我们开发并演示了一种技术,该技术可以从单一气候模式模拟中生成内部气候变率的独立实现。该技术基于以往模式仿真的发展,使用经验正交函数分解和傅立叶相位随机化来生成目标气候变量的时空变异性场的统计一致性实现。该方法有助于对大范围的气候轨迹进行有效采样,这些轨迹也可以纳入冰盖或其他物理模型中,以表示反馈过程。
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引用次数: 0
IEEE Computer Society Career Center IEEE计算机协会职业中心
4区 计算机科学 Q2 Engineering Pub Date : 2023-05-01 DOI: 10.1109/mcse.2023.3324175
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引用次数: 0
IEEE Computer Society Has You Covered! IEEE计算机协会覆盖了你!
4区 计算机科学 Q2 Engineering Pub Date : 2023-05-01 DOI: 10.1109/mcse.2023.3324171
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引用次数: 0
Computational Modeling of Ice Sheets and Glaciers 冰原和冰川的计算模拟
4区 计算机科学 Q2 Engineering Pub Date : 2023-05-01 DOI: 10.1109/mcse.2023.3322643
Irina Tezaur, Josefin Ahlkrona, Matthew Hoffman, Mauro Perego
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引用次数: 0
IEEE Computer Society Information IEEE计算机学会信息
4区 计算机科学 Q2 Engineering Pub Date : 2023-03-01 DOI: 10.1109/mcse.2023.3304072
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引用次数: 0
IEEE Pervasive Computing IEEE普适计算
4区 计算机科学 Q2 Engineering Pub Date : 2023-03-01 DOI: 10.1109/mcse.2023.3304112
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引用次数: 0
IEEE Annals of the History of Computing IEEE计算历史年鉴
IF 2.1 4区 计算机科学 Q2 Engineering Pub Date : 2023-03-01 DOI: 10.1109/mcse.2021.3052400
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引用次数: 0
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Computing in Science & Engineering
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