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张烺, 李跃清, 李英, 等. 青藏高原东部草甸下垫面涡旋相关观测数据的质量控制及评价研究[J]. 大气科学, 2010, 34(4): 703-714. DOI: 10.3878/j.issn.1006-9895.2010.04.04
引用本文: 张烺, 李跃清, 李英, 等. 青藏高原东部草甸下垫面涡旋相关观测数据的质量控制及评价研究[J]. 大气科学, 2010, 34(4): 703-714. DOI: 10.3878/j.issn.1006-9895.2010.04.04
ZHANG Lang, LI Yueqing, LI Ying, et al. A Study of Quality Control and Assessment of the Eddy Covariance System above Grassy Land of the Eastern Tibetan Plateau[J]. Chinese Journal of Atmospheric Sciences, 2010, 34(4): 703-714. DOI: 10.3878/j.issn.1006-9895.2010.04.04
Citation: ZHANG Lang, LI Yueqing, LI Ying, et al. A Study of Quality Control and Assessment of the Eddy Covariance System above Grassy Land of the Eastern Tibetan Plateau[J]. Chinese Journal of Atmospheric Sciences, 2010, 34(4): 703-714. DOI: 10.3878/j.issn.1006-9895.2010.04.04

青藏高原东部草甸下垫面涡旋相关观测数据的质量控制及评价研究

A Study of Quality Control and Assessment of the Eddy Covariance System above Grassy Land of the Eastern Tibetan Plateau

  • 摘要: 目前利用涡旋相关仪观测地表通量的方法已被广泛采用, 但由于涡旋相关法是建立在方程假设简化的基础上, 这对观测数据的质量提出了一定的要求, 所以对观测数据的处理及通量结果的质量状况分析就显得尤为重要。本文以理塘站2006年7月中到8月中的数据为例, 对其进行质量控制, 并将质量控制后的通量计算结果与原始值进行比较。质量控制后感热通量和潜热通量总和有所增长, 动量通量值则受质量控制影响较大。质量评价的结果为:动量通量、感热通量、潜热通量中高质量数据所占比例为68.2%、60.6%、63.3%。

     

    Abstract: Presently, the eddy covariance measurement has been widely adopted. As the eddy covariance method is built on certain assumptions, some corrections of turbulent flux calculation and quality assessment of the flux results are necessary. This article analyzes the difference of turbulent flux results before and after quality control, with the data at Litang station from mid-July to mid-August in year 2006 as an example. The results at Litang station show that the de-spiking and sonic temperature corrections have a little effect on the sensible and latent heat fluxes, the coordinate rotation correction significantly influences the momentum flux, and because of the larger latent heat flux, the WPL correction have an inconspicuous influence on the latent heat flux. The conclusion of quality assessment shows that 68.2% of the momentum flux data, 60.6% of the sensible heat flux data, and 63.3% of the latent heat flux data are good.

     

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