摘要
This chapter provides an overview of the traceability framework as a method for identifying the key sources of uncertainty in land carbon cycle modeling. The analytical framework is built upon derivations of the matrix equation introduced in Chapter 1. This framework provides a systematic way to decompose the uncertainty of land carbon cycle projections into traceable components. Thus, traceability analysis can facilitate the understanding of carbon cycling, its drivers and controlling processes within a model and across models with different carbon-cycle structures, external climate forcings, and scientific assumptions. This chapter also introduces several examples to demonstrate the application of traceability analysis to model evaluation.
| 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 | 105-111 |
| 页数 | 7 |
| ISBN(电子版) | 9781040026298 |
| ISBN(印刷版) | 9781032698496 |
| DOI | |
| 出版状态 | 已出版 - 1 1月 2024 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 13 气候行动
学术指纹
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