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 |
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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 |