Academic Journal
Matrix Approach to Accelerate Spin‐Up of CLM5
| Title: | Matrix Approach to Accelerate Spin‐Up of CLM5 |
|---|---|
| Authors: | 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 |
| Source: | Journal of Advances in Modeling Earth Systems, Vol 15, Iss 8, Pp n/a-n/a (2023) |
| Publisher Information: | American Geophysical Union (AGU), 2023. |
| Publication Year: | 2023 |
| Collection: | LCC:Physical geography LCC:Oceanography |
| Subject Terms: | carbon cycle, terrestrial biogeochemistry model, spin‐up, Physical geography, GB3-5030, Oceanography, GC1-1581 |
| More Details: | 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. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1942-2466 |
| Relation: | https://doaj.org/toc/1942-2466 |
| DOI: | 10.1029/2023MS003625 |
| Access URL: | https://doaj.org/article/dffe63e40fe24cfcbb4488728a9e5811 |
| Accession Number: | edsdoj.ffe63e40fe24cfcbb4488728a9e5811 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 19422466 |
|---|---|
| DOI: | 10.1029/2023MS003625 |
| Published in: | Journal of Advances in Modeling Earth Systems |
| Language: | English |