Statistical Generation of Ocean Forcing With Spatiotemporal Variability for Ice Sheet Models
Statistical Generation of Ocean Forcing With Spatiotemporal Variability for Ice Sheet Models
复制标题
冰盖模型时空变化海洋强迫的统计生成
DOI：
10.1109/mcse.2023.3300908
复制
发表时间：
2023
影响因子：
2.1
通讯作者：
Price, Stephen F.
中科院分区：
文献类型：
--
作者：
Muruganandham, Shivaprakash;Robel, Alexander A.;Hoffman, Matthew J.;Price, Stephen F.
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。
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.
对冰盖模型的扰动基底融化系综进行统计模拟，以更好地量化南极海平面上升的不确定性
DOI：
10.5194/tc-15-2683-2021
发表时间：
2021
期刊：
The Cryosphere
影响因子：
--
作者：
Berdahl, Mira;Leguy, Gunter;Lipscomb, William H.;Urban, Nathan M.
通讯作者：
Urban, Nathan M.
Fldgen v1.0：具有内部可变性和时空相关性的地球系统模型模拟器
影响因子：
5.1
作者：
R. Link;Abigail C. Snyder;Cary Lynch;C. Hartin;B. Kravitz;B. Bond‐Lamberty
通讯作者：
B. Bond‐Lamberty