Modeling sensitivities of thermally and hydraulically driven ice stream surge cycling

IF 4 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Geoscientific Model Development Pub Date : 2023-10-10 DOI:10.5194/gmd-16-5627-2023
Kevin Hank, Lev Tarasov, Elisa Mantelli
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Abstract

Abstract. Modeling ice sheet instabilities is a numerical challenge of potentially high real-world relevance. Yet, differentiating between the impacts of model physics, numerical implementation choices, and numerical errors is not straightforward. Here, we use an idealized North American geometry and climate representation (similarly to the HEINO (Heinrich Event INtercOmparison) experiments – Calov et al., 2010) to examine the process and numerical sensitivity of ice stream surge cycling in ice flow models. Through sensitivity tests, we identify some numerical requirements for a more robust model configuration for such contexts. To partly address model-specific dependencies, we use both the Glacial Systems Model (GSM) and the Parallel Ice Sheet Model (PISM). We show that modeled surge characteristics are resolution dependent, though they converge (decreased differences between resolutions) at finer horizontal grid resolutions. Discrepancies between fine and coarse horizontal grid resolutions can be reduced by incorporating sliding at sub-freezing temperatures. The inclusion of basal hydrology increases the ice volume lost during surges, whereas the dampening of basal-temperature changes due to a bed thermal model leads to a decrease.
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热驱动和水力驱动冰流涌流循环敏感性建模
摘要对冰盖不稳定性进行建模是一项具有潜在高度现实相关性的数值挑战。然而,区分模型物理、数值实现选择和数值误差的影响并不是直截了当的。在这里,我们使用理想化的北美几何和气候表示(类似于HEINO (Heinrich Event INtercOmparison)实验- Calov等人,2010)来检查冰流模型中冰流涌流循环的过程和数值敏感性。通过灵敏度测试,我们确定了针对此类上下文的更健壮的模型配置的一些数值要求。为了部分解决特定模式的依赖关系,我们同时使用了冰川系统模型(GSM)和平行冰盖模型(PISM)。我们表明,模拟的浪涌特性是分辨率相关的,尽管它们在更精细的水平网格分辨率下收敛(分辨率之间的差异减小)。精细和粗糙水平网格分辨率之间的差异可以通过在低于冰点的温度下结合滑动来减少。基底水文的加入增加了涌浪期间冰体积的损失,而基底温度变化的衰减则导致了冰体积的减少。
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来源期刊
Geoscientific Model Development
Geoscientific Model Development GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
8.60
自引率
9.80%
发文量
352
审稿时长
6-12 weeks
期刊介绍: Geoscientific Model Development (GMD) is an international scientific journal dedicated to the publication and public discussion of the description, development, and evaluation of numerical models of the Earth system and its components. The following manuscript types can be considered for peer-reviewed publication: * geoscientific model descriptions, from statistical models to box models to GCMs; * development and technical papers, describing developments such as new parameterizations or technical aspects of running models such as the reproducibility of results; * new methods for assessment of models, including work on developing new metrics for assessing model performance and novel ways of comparing model results with observational data; * papers describing new standard experiments for assessing model performance or novel ways of comparing model results with observational data; * model experiment descriptions, including experimental details and project protocols; * full evaluations of previously published models.
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