A finite-element framework to explore the numerical solution of the coupled problem of heat conduction, water vapor diffusion, and settlement in dry snow (IvoriFEM v0.1.0)

IF 4 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Geoscientific Model Development Pub Date : 2023-12-06 DOI:10.5194/gmd-16-7075-2023
J. Brondex, Kévin Fourteau, M. Dumont, P. Hagenmuller, N. Calonne, F. Tuzet, H. Löwe
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引用次数: 1

Abstract

Abstract. The poor treatment (or complete omission) of water vapor transport has been identified as a major limitation suffered by currently available snowpack models. As vapor and heat fluxes are closely intertwined, their mathematical representation amounts to a system of nonlinear and tightly coupled partial differential equations that are particularly challenging to solve numerically. The choice of the numerical scheme and the representation of couplings between processes are crucial to ensure an accurate and robust solution that guarantees mass and energy conservation while also allowing time steps in the order of 15 min. To explore the numerical treatments fulfilling these requirements, we have developed a highly modular finite-element program. The code is written in Python. Every step of the numerical formulation and solution is coded internally, except for the inversion of the linearized system of equations. We illustrate the capabilities of our approach to tackle the coupled problem of heat conduction, vapor diffusion, and settlement within a dry snowpack by running our model on several test cases proposed in recently published literature. We underline specific improvements regarding energy and mass conservation as well as time step requirements. In particular, we show that a fully coupled and fully implicit time-stepping approach enables accurate and stable solutions with little restriction on the time step.
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探索干雪中热传导、水汽扩散和沉降耦合问题数值解决方案的有限元框架(IvoriFEM v0.1.0)
摘要。对水汽输送处理不当(或完全遗漏)已被确定为目前可用的积雪模式所遭受的主要限制。由于蒸汽和热通量紧密交织在一起,它们的数学表示相当于一个非线性和紧密耦合的偏微分方程系统,在数值上求解特别具有挑战性。数值方案的选择和过程之间耦合的表示对于确保精确和鲁棒的解决方案至关重要,以保证质量和能量守恒,同时还允许15分钟的时间步长。为了探索满足这些要求的数值处理,我们开发了一个高度模块化的有限元程序。代码是用Python编写的。除线性化方程组的反演外,数值公式和解的每一步都是内部编码的。我们通过在最近发表的文献中提出的几个测试用例上运行我们的模型,说明了我们的方法解决干燥积雪中热传导、蒸汽扩散和沉降耦合问题的能力。我们强调在能量和质量守恒以及时间步长要求方面的具体改进。特别是,我们证明了一种完全耦合和完全隐式的时间步进方法可以在时间步长很少限制的情况下获得准确和稳定的解。
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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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