Matrix approach to accelerate spin-up of CLM5

Liao, C., Lu, X., Huang, Y., Tao, F., Lawrence, D. M., et al. (2023). Matrix approach to accelerate spin-up of CLM5. Journal of Advances in Modeling Earth Systems, doi:https://doi.org/10.1029/2023MS003625

Title Matrix approach to accelerate spin-up of CLM5
Genre Article
Author(s) C. Liao, X. Lu, Y. Huang, F. Tao, David M. Lawrence, C. D. Koven, Keith W. Oleson, William Wieder, Erik Kluzek, X. Huang, Y. Luo
Abstract 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.
Publication Title Journal of Advances in Modeling Earth Systems
Publication Date Aug 1, 2023
Publisher's Version of Record https://doi.org/10.1029/2023MS003625
OpenSky Citable URL https://n2t.org/ark:/85065/d72b932r
OpenSky Listing View on OpenSky
CGD Affiliations CGDAO, TSS

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