A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements
A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements
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DOI：
10.1016/j.agrformet.2012.09.006
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发表时间：
2013-02-15
影响因子：
6.2
通讯作者：
Steinbrecher, Rainer
中科院分区：
文献类型：
--
作者：
Mauder, Matthias;Cuntz, Matthias;Steinbrecher, Rainer
涡度协方差测量是在世界各地的几百个站点进行的长期基础上。收集到的数据被用于监测痕量气体、水和能量的生态系统交换，并验证或约束基于过程的模型。对这些通量的标准化和全面的质量标记和不确定性量化的需求越来越大。在本文中，我们回顾了既定的质量评估程序，并提出了一个全面的新组成的战略，强调测试高频原始数据，扩大现有的测试统计，通量和校正，加上量化的错误。此外，通量的代表性检查足迹分析。这一战略适用于最近推出的TERENO生态系统观测站网络，其鲁棒性证明了不同的测量设置所获得的数据。对来自TERENO的四个测试数据集和来自CarboEurope-IP的一个数据集进行了质量评估。所提出的策略与已建立的质量评估计划相比，它表明，不切实际的通量，现在有效地排除，同时保留尽可能多的高质量的数据。此外，所应用的算法为涡度协方差通量数据的用户提供了全面的、可重复的、定性和定量的不确定性估计。(C)2012 Elsevier B. V.保留所有权利。
Eddy-covariance measurements are performed at several hundred sites all over the world on a long-term basis. The gathered data are used to characterise ecosystem exchanges of trace gases, water and energy and to validate or constrain process-based models. There is an increasing demand on standardised and comprehensive quality flagging and uncertainty quantification of these fluxes. In this paper, we review established quality assessment procedures and present a comprehensive newly composed strategy emphasising tests on high-frequency raw data, expanding existing tests on statistics, fluxes and corrections, plus quantification of errors. Moreover, representativity of fluxes is checked by footprint analysis. This strategy is applied within the recently launched TERENO network of ecosystem observatories, and its robustness is demonstrated for data acquired with different measurement set-ups. Four test data sets from TERENO and one data set from CarboEurope-IP were subjected to this quality assessment. The presented strategy is compared with established quality assessment schemes, and it is demonstrated that unrealistic fluxes are now efficiently excluded while retaining the largest possible amount of high quality data. Additionally, the algorithms applied provide comprehensive, reproducible, qualitative and quantitative uncertainty estimates for users of eddy-covariance flux data. (C) 2012 Elsevier B.V. All rights reserved.