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首页> 外文期刊>Journal of Geophysical Research, C. Oceans: JGR >In-situ CO_2 monitoring network evaluation and design: A criterion based on atmospheric CO_2 variability
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In-situ CO_2 monitoring network evaluation and design: A criterion based on atmospheric CO_2 variability

机译：现场CO_2监测网络评估和设计：基于大气CO_2变异性的标准

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摘要

Estimates of surface fluxes of carbon dioxide (CO_2) can be derived from atmospheric CO_2 concentration measurements through the solution of an inverse problem, but the sparseness of the existing CO _2 monitoring network is often cited as a main limiting factor in constraining fluxes. Existing methods for assessing or designing monitoring networks either primarily rely on expert knowledge, or are sensitive to the large number of modeling choices and assumptions inherent to the solution of inverse problems. This study proposes a monitoring network evaluation and design approach based on the quantification of the spatial variability in modeled atmospheric CO_2. The approach is used to evaluate the 2004-2008 North American network expansion and to create two hypothetical further expansions. The less stringent expansion guarantees a monitoring tower within one correlation length (CL) of each location (1 CL), requiring an additional eight towers relative to 2008. The more stringent network includes a tower within one half of a CL (1/2 CL) and requires 35 towers beyond the 1 CL network. The two proposed networks are evaluated against the network in 2008, which temporarily had the most continuous monitoring sites in North America thanks to the Mid-Continent Intensive project. Evaluation using a synthetic data inversion shows a marked improvement in the ability to constrain both continental- and biome-scale fluxes, especially in areas that are currently under-sampled. The proposed approach is flexible, computationally inexpensive, and provides a quantitative design tool that can be used in concert with existing tools to inform atmospheric monitoring needs. Key Points Monitoring network evaluation and design based on variability of atmospheric CO_2Complementary tool to expert-knowledge and inverse-modeling-based approachesApplication to expansion of the North American in-situ CO_2 monitoring network
机译：二氧化碳（CO_2）的表面通量估计值可以通过反问题的解决方案从大气中的CO_2浓度测量值得出，但是现有的CO_2监测网络稀疏通常被认为是限制通量的主要限制因素。现有的评估或设计监视网络的方法要么主要依靠专家知识，要么对大量模型选择和反问题解决方案固有的假设敏感。本研究提出了一种基于模拟大气CO_2空间变异性的监测网络评估和设计方法。该方法用于评估2004-2008年北美网络的扩展并创建两个假设的进一步扩展。不太严格的扩展保证了每个位置（1 CL）的一个相关长度（CL）内的监视塔，相对于2008年需要增加八座塔。更严格的网络包括一个CL（1/2 CL）一半内的塔。 ），并且需要超过1个CL网络的35个塔。拟议中的两个网络是根据2008年的网络进行评估的，该网络由于中陆密集型项目而暂时成为北美地区监测最连续的站点。使用合成数据反演进行的评估显示，约束大陆和生物群落尺度通量的能力有了显着提高，尤其是在当前采样不足的地区。所提出的方法是灵活的，计算上便宜的，并且提供了可以与现有工具一起使用以通知大气监测需求的定量设计工具。关键点基于大气CO_2变异性的监测网评估和设计专家知识和基于逆模型的方法的补充工具应用于北美原地CO_2监测网的扩展

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