加速CLM5自旋上升的矩阵法

IF 4.4 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Cuijuan Liao, Xingjie Lu, Yuanyuan Huang, Feng Tao, David M. Lawrence, Charles D. Koven, Keith W. Oleson, William R. Wieder, Erik Kluzek, Xiaomeng Huang, Yiqi Luo
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引用次数: 0

摘要

为了研究和理解生物地球化学循环对全球变化的响应,已经建立了数值模型。当系统处于动态平衡状态时,通常需要初始化这些模型模拟。然而,实现稳态的自旋上升过程对计算资源造成很大负担,限制了生物地球化学循环全局建模分析的效率。本研究引入了一种新的半分析自旋上升(SASU)来解决这一重大挑战。我们将SASU应用于社区土地模型第5版,并检验了其计算效率和准确性。在巴西现场,SASU的计算效率比传统的本地动力学(ND)自旋提高了7倍(或节省了86%的计算成本),以达到相同的稳定状态。在全球范围内,SASU的计算效率是加速分解自旋上升的8倍,是ND的50倍。综上所述,与其他自旋提升方法相比,SASU在现场和全局上实现了最高的自旋提升计算效率。它可以推广到广泛的生物地球化学模型,从而使计算成本高的研究(如参数摄动集合分析和数据同化)成为可能,以便更好地理解气候变化下的生物地球化学循环。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Matrix Approach to Accelerate Spin-Up of CLM5

Numerical models have been developed to investigate and understand responses of biogeochemical cycle to global changes. Steady state, when a system is in dynamic equilibrium, is generally required to initialize these model simulations. However, the spin-up process that is used to achieve steady state pose a great burden to computational resources, limiting the efficiency of global modeling analysis on biogeochemical cycles. This study introduces a new Semi-Analytical Spin-Up (SASU) to tackle this grand challenge. We applied SASU to Community Land Model version 5 and examined its computational efficiency and accuracy. At the Brazil site, SASU is computationally 7 times more efficient than (or saved up to 86% computational cost in comparison with) the traditional native dynamics (ND) spin-up to reach the same steady state. Globally, SASU is computationally 8 times more efficient than the accelerated decomposition spin-up and 50 times more efficient than ND. In summary, SASU achieves the highest computational efficiency for spin-up on site and globally in comparison with other spin-up methods. It is generalizable to wide biogeochemical models and thus makes computationally costly studies (e.g., parameter perturbation ensemble analysis and data assimilation) possible for a better understanding of biogeochemical cycle under climate change.

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来源期刊
Journal of Advances in Modeling Earth Systems
Journal of Advances in Modeling Earth Systems METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
11.40
自引率
11.80%
发文量
241
审稿时长
>12 weeks
期刊介绍: The Journal of Advances in Modeling Earth Systems (JAMES) is committed to advancing the science of Earth systems modeling by offering high-quality scientific research through online availability and open access licensing. JAMES invites authors and readers from the international Earth systems modeling community. Open access. Articles are available free of charge for everyone with Internet access to view and download. Formal peer review. Supplemental material, such as code samples, images, and visualizations, is published at no additional charge. No additional charge for color figures. Modest page charges to cover production costs. Articles published in high-quality full text PDF, HTML, and XML. Internal and external reference linking, DOI registration, and forward linking via CrossRef.
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