摘要
为研究SiB2模型在全球不同生态系统中的模拟性能,以Fluxnet通量数据网站的气象数据和MODIS卫星遥感植被指数产品MOD13C1驱动模型,利用Fluxnet提供的通量数据对模型进行验证分析,结果表明, SiB2对不同生态系统的净辐射、上行短波辐射和上行长波辐射的模拟均较好, R^(2)中值均在0.91以上;SiB2模拟的感热通量、潜热通量和土壤热通量的平均R^(2)分别为0.73、0.47和0.39,潜热通量在各生态系统均存在不同程度的低估,平均低估率达到25%,且降雨对潜热通量的模拟具有显著的影响. SiB2对于非森林生态系统的土壤热通量模拟较好;模拟的土壤热通量占净辐射的比例最高不超过2%,潜热通量在常绿阔叶林和落叶阔叶林生态系统中占净辐射能量分配的主导,感热通量在草原和灌丛生态系统中占能量分配的主导;SiB2模拟的潜热通量偏低而感热通量偏高.
In order to study the simulation performance of simple biosphere model Version 2(SiB2) in different global ecosystems, the meteorological data from the Fluxnet flux data website and the MODIS satellite remote sensing vegetation index product MOD13C1 was used to drive the model, and the flux data provided by Fluxnet was used to verify and analyze the model. The results showed that SiB2 simulated well the net radiation, uplink shortwave radiation and uplink longwave radiation of different ecosystems,and the median R^(2) were all above 0.91. The average R2of sensible heat flux, latent heat flux and soil heat flux simulated by SiB2 were 0.73, 0.47 and 0.39, respectively. Latent heat fluxes were underestimated to varying degrees in various ecosystems, with an average underestimation rate reaching 25%. Rainfall had a significant impact on the simulation of the latent heat flux. The median value of soil heat flux R^(2) simulated by SiB2 was basically lower than 0.5, which is good for the simulation of soil heat flux in non-forest ecosystems. The soil heat flux accounted for no more than 2% of the net radiation. The simulated latent heat flux dominated the net radiant energy distribution in the evergreen broad-leaved forest and deciduous broad-leaved forest ecosystems. The sensible heat flux dominated the energy distribution in the grassland and shrub ecosystems. The latent heat flux simulated by SiB2 was lower and the sensible heat flux higher.
作者
徐聪
朱高峰
朱永泰
秦文华
张扬
陈惠玲
XU Cong;ZHU Gao-feng;ZHU Yong-tai;QIN Wen-hua;ZHANG Yang;CHEN Hui-ling(College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China)
出处
《兰州大学学报（自然科学版）》
CAS
CSCD
北大核心
2022年第5期631-640,共10页
Journal of Lanzhou University(Natural Sciences)
基金
国家重点研发计划项目(2018YFC0406602)。
