陆面过程模式CoLM和NCAR_CLM3.0对中国典型森林生态系统陆气相互作用的模拟Ⅰ.不同模式模拟结果的初步分析

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CoLM(Common Land Model)和NCAR_CLM3·0(NCAR Community Land Model3·0)是目前国际上广为应用的两个发展比较完善的陆面过程模式。本研究利用中国陆地生态系统通量观测研究网络(Chi-naFLUX)在长白山温带混交林和千烟洲亚热带人工针叶林观测站点的长期连续强化观测资料,对这两个模式在上述地区的模拟性能进行了初步评估。同观测资料的对比表明,两个模式均能较好地模拟出观测站点地表能量和水分平衡的基本特征,其中,CoLM对潜热通量的模拟性能更好。以对潜热通量为期1年的日均值的模拟为例,CoLM和CLM3·0在长白山观测站模拟值和观测值时间序列的相关系数分别为0·80和0·65,在千烟洲站分别为0·69和0·64,均通过了0·01的信度检验;两个模式对全年平均的模拟与观测日平均值的比值在长白山分别为1·21和0·86,在千烟洲分别为0·83和0·60。研究结果表明,这两个陆面过程模式可以作为研究这两种典型森林生态系统陆气交换的基本工具。同时,对模式模拟性能差异的深入分析将有助于进一步改进陆面模式的参数化过程,为相关研究奠定更坚实的基础。 CoLM (Common Land Model) and NCAR_CLM3.0 (NCAR Community Land Model3.0) are two well-developed land-based process models widely used in the world at present. In this study, long-term continuous enhancement observations of Chi-naFLUX in the Changbai Mountain mixed forest and the Qianyanzhou subtropical artificial coniferous forest observation site were used to simulate the above two models Performance was initially evaluated. The comparison with the observed data shows that both models can well simulate the basic characteristics of surface energy and water balance of the observed sites, of which CoLM has better simulated latent heat flux. Taking the one-year daily average of latent heat flux as an example, the correlation coefficients between CoLM and CLM3.0 at Changbaishan Observatory were 0.80 and 0.65 respectively. At Qianyanzhou Station Respectively, 0.69 and 0.64, respectively, passed the test of reliability of 0.01. The ratio of the two models to the annual average of the simulated and observed daily averages was 1.21 and 0.86 in Changbaishan respectively. Thousands of states were 0.83 and 0.60 respectively. The results show that these two land surface process models can be used as a basic tool to study the land exchange between these two typical forest ecosystems. At the same time, an in-depth analysis of the differences in mode simulation performance will help to further improve the parameterization process of land-surface mode, laying a more solid foundation for related research.
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