首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Carbon and Water Fluxes of the Boreal Evergreen Needleleaf Forest Biome Constrained by Assimilating Ecosystem Carbonyl Sulfide Flux Observations
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Carbon and Water Fluxes of the Boreal Evergreen Needleleaf Forest Biome Constrained by Assimilating Ecosystem Carbonyl Sulfide Flux Observations

机译:受生态系统同化制约的北方常绿针叶林生物群落碳和水通量 羰基硫醚通量观测

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Abstract Gross primary production (GPP) by boreal forests is highly sensitive to environmental changes. However, GPP simulated by land surface models (LSMs) remains highly uncertain due to the lack of direct photosynthesis observations at large scales. Carbonyl sulfide (COS) has emerged as a promising proxy to improve the representation of GPP in LSMs. Because COS is absorbed by vegetation following the same diffusion pathway as CO2 during photosynthesis and not emitted back to the atmosphere, incorporating a mechanistic representation of vegetation COS uptake in LSMs allows using COS observations to refine GPP representation. Here, we perform ecosystem COS flux and GPP data assimilations to constrain the COS‐ and GPP‐related parameters in the ORCHIDEE LSM for boreal evergreen needleleaf forests (BorENF). Assimilating ecosystem COS fluxes at Hyytiälä forest increases the simulated net ecosystem COS uptake by 14. This increase largely results from changes in the internal conductance to COS, highlighting the need to improve the representation of COS internal diffusion and consumption. Moreover, joint assimilation of ecosystem COS flux and GPP at Hyytiälä improves the simulated latent heat flux, contrary to the GPP‐only data assimilation, which fails to do so. Finally, we scaled this assimilation framework up to the boreal region and find that the joint assimilation of COS at Hyytiälä and GPP fluxes at 10 BorENF sites increases the modeled vegetation COS uptake up to 18, but not GPP. Therefore, this study encourages the use of COS flux observations to inform GPP and latent heat flux representations in LSMs.
机译:摘要 北方森林初级生产总值(GPP)对环境变化具有高度敏感性。然而,由于缺乏大规模的直接光合作用观测,地表模型(LSM)模拟的GPP仍然具有高度的不确定性。羰基硫醚 (COS) 已成为一种很有前途的代理,可以改善 GPP 在 LSM 中的表示。由于 COS 在光合作用过程中按照与 CO2 相同的扩散途径被植被吸收,并且不会排放回大气中,因此在 LSM 中结合植被 COS 吸收的机理表示允许使用 COS 观测来改进 GPP 表示。在这里,我们进行了生态系统COS通量和GPP数据同化,以约束北方常绿针叶林(BorENF)的兰花LSM中的COS和GPP相关参数。在Hyytiälä森林吸收生态系统COS通量后,模拟的生态系统净COS吸收量增加了14%。这种增加主要是由于COS内部电导的变化,突出了改善COS内部扩散和消耗表示的必要性。此外,Hyytiälä生态系统COS通量和GPP的联合同化改善了模拟的潜热通量,这与仅GPP数据同化相反,后者无法做到这一点。最后,我们将该同化框架扩展到北方地区,发现Hyytiälä的COS和10个BorENF站点的GPP通量的联合同化使模拟植被COS吸收量增加了18%,但GPP没有。因此,本研究鼓励使用 COS 通量观测来为 LSM 中的 GPP 和潜热通量表示提供信息。

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