结合观测和模型:对受数据限制的陆地生态系统建模的CARDAMOM框架进行审查
Matthew A Worden1, T Eren Bilir2, A Anthony Bloom2
1Department of Earth System Science, Stanford University, Stanford, California, USA.
Global change biology
|August 26, 2025
概括
碳天文模型 (CARDAMOM) 将多种陆地生物圈观测与DALEC等生态系统模型相结合. 这种数据同化方法提高了生态洞察力和生态系统过程的理解,以改善环境变化分析.
科学领域:
- 生态学
- 环境科学
- 计算模型
背景情况:
- 陆地生物圈的观测量和多样性正在迅速增加.
- 现有的生态模型往往难以整合这些观测及其参数化的不确定性.
- 数据同化框架提供了模型与数据融合的解决方案.
研究的目的:
- 审查CARBON DATA MOdel fraMework (CARDAMOM) 的开发和应用情况.
- 通过数据同化强调卡达姆在促进生态系统过程理解方面的作用.
- 为未来发展和应用CARDAMOM提供社区建议.
主要方法:
- 卡达姆使用贝叶斯式方法与马尔科夫链蒙特卡洛算法.
- 它可以对数据同化链接生态系统碳模型 (DALEC) 的参数和初始状态进行数据驱动的校准.
- 观察运营商用于整合各种数据集,从现场测量到卫星观测.
主要成果:
- 通过 CARDAMOM,可以从各种数据集中获取本地化的模型过程参数.
- 它允许对空间变化的生态系统反应进行分析.
- 挑战包括数据质量问题和模型复杂性与预测性能之间的权衡.
结论:
- 卡达姆提供了一个灵活的工具来理解陆地生态系统的动态.
- 通过新的观测来解决参数等效性等挑战至关重要.
- 建议包括整合机器学习和加强跨科学界的合作.
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