通过JULES-HIMMELI模型评估北方湿地的模拟甲排放
Yao Gao1, Eleanor J Burke2, Sarah E Chadburn3
1Finnish Meteorological Institute, P.O. Box 503, FI-00101 Helsinki, Finland; Department of Civil Engineering, University of Hongkong, Hong Kong, China.
The Science of the total environment
|May 3, 2025
概括
北部湿地是主要的甲 (CH4) 来源. 将HIMMELI模型集成到JULES中并优化参数显著改善了CH4排放模拟,减少了偏差并提高了区域估计的准确性.
科学领域:
- 环境科学 环境科学
- 气候科学 气候科学
- 地球系统科学 地球系统科学
背景情况:
- 北部湿地是大气甲 (CH4) 的关键自然来源.
- 现有的土地表面模型,如JULES,已经简化了湿地CH4排放的方案,往往忽视了关键过程.
- 精确建模这些地区的CH4排放对于了解气候反至关重要.
研究的目的:
- 将基于工艺的泥炭地CH4排放模型 (HIMMELI) 与JULES土地表面模型相结合.
- 为了优化HIMMELI参数,使用来自六个北方湿地地点的测量CH4流量数据.
- 评估参数优化对模拟CH4排放的精度的影响.
主要方法:
- 将HIMMELI模型集成到JULES陆地表面模型中.
- 优化HIMMELI参数使用来自六个北方湿地地点的CH4流量测量.
- 参数优化使用单站优化 (SSO) 和多站优化 (MSO) 方法进行.
主要成果:
- 优化的HIMMELI参数显著改善了JULES.中的CH4排放模拟.
- 平均偏差从54.88毫克m-2d-1 (默认参数) 降低到-0.70毫克m-2d-1 (SSO) 和-8.36毫克m-2d-1 (MSO).
- 与单个站点优化平均值 (SSO_AVG) 相比,多站点优化 (MSO) 在各站点展示了更稳定的性能 (RMSE).
结论:
- 参数优化对于提高JULES-HIMMELI模型对北方湿地CH4排放的准确性至关重要.
- 该研究为研究北方湿地中CH4排放量建模提供了优化的参数值.
- 未来的改进应纳入环境因素 (地下水,碳,植被) 和排放过程 (雪/冰效应).
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