摘要
This chapter introduces the concept of spin-up in land biogeochemical models. Spin-up is a standard initialization procedure, which is commonly included in protocols of model intercomparison projects. Conventional spin-up, repeatedly running the model with recursive environmental forcing to achieve a steady state, is very time consuming. Semi-analytic spin-up (SASU) enabled by the matrix representation significantly improves the computational efficiency of spin-up for land biogeochemical models. The implementation of SASU in the Community Atmosphere and Biosphere Land Exchange (CABLE) model is demonstrated. The SASU method has been proven to save about 92.4% and 86.6%, respectively, of the computational time for spin-up of the global carbon-only and coupled carbon-nitrogen models.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Land Carbon Cycle Modeling |
| 主期刊副标题 | Matrix Approach, Data Assimilation, Ecological Forecasting, and Machine Learning, Second Edition |
| 出版商 | CRC Press |
| 页 | 89-93 |
| 页数 | 5 |
| ISBN(电子版) | 9781040026298 |
| ISBN(印刷版) | 9781032698496 |
| DOI | |
| 出版状态 | 已出版 - 1 1月 2024 |
学术指纹
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