Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Land Carbon Cycle Modeling |
| Subtitle of host publication | Matrix Approach, Data Assimilation, Ecological Forecasting, and Machine Learning, Second Edition |
| Publisher | CRC Press |
| Pages | 89-93 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781040026298 |
| ISBN (Print) | 9781032698496 |
| DOIs | |
| State | Published - 1 Jan 2024 |
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