A CO2 and H2O gas analyzer with reduced error due to platform motion

IF 1.9 4区 地球科学 Q2 ENGINEERING, OCEAN
D. Vandemark, Marc Emond, Scott D. Miller, S. Shellito, I. Bogoev, J. Covert
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引用次数: 0

Abstract

One long-standing technical problem affecting the accuracy of eddy correlation air-sea CO2 flux estimates has been motion contamination of the CO2 mixing ratio measurement. This sensor-related problem is well known but its source remains unresolved. This report details an attempt to identify and reduce motion-induced error and to improve the infrared gas analyzer (IRGA) design. The key finding is that a large fraction of the motion sensitivity is associated with the detection approach common to most closed- and open-path IRGA employed today for CO2 and H2O measurements. A new prototype sensor was developed to both investigate and remedy the issue. Results in laboratory and deep water tank tests show marked improvement. The prototype shows a factor of 4-10 reduction in CO2 error under typical at-sea buoy pitch and roll tilts in comparison to an off-the-shelf IRGA system. A similar noise reduction factor of 2-8 is observed in water vapor measurements. The range of platform tilt motion testing also helps to document motion-induced error characteristics of standard analyzers. Study implications are discussed including findings relevant to past field measurements and the promise for improved future flux measurements using similarly modified IRGA on moving ocean observing and aircraft platforms.
CO2和H2O气体分析仪,减少了由于平台运动的误差
影响涡流相关海气CO2通量估计准确性的一个长期存在的技术问题是CO2混合比测量的运动污染。这个与传感器相关的问题是众所周知的,但其根源仍未解决。本报告详细介绍了识别和减少运动引起的误差以及改进红外气体分析仪(IRGA)设计的尝试。关键发现是,运动灵敏度的很大一部分与当今用于CO2和H2O测量的大多数闭合和开放路径IRGA常见的检测方法有关。开发了一种新的原型传感器来调查和解决这个问题。实验室和深水池试验的结果显示有明显的改善。原型显示,与现成的IRGA系统相比,在典型的海上浮筒俯仰和滚转倾斜情况下,CO2误差降低了4-10倍。在水蒸气测量中观察到类似的噪声降低因子2-8。平台倾斜运动测试的范围也有助于记录标准分析仪的运动引起的误差特性。讨论了研究意义,包括与过去现场测量相关的发现,以及在移动的海洋观测和飞机平台上使用类似修改的IRGA改进未来通量测量的前景。
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来源期刊
CiteScore
4.50
自引率
9.10%
发文量
135
审稿时长
3 months
期刊介绍: The Journal of Atmospheric and Oceanic Technology (JTECH) publishes research describing instrumentation and methods used in atmospheric and oceanic research, including remote sensing instruments; measurements, validation, and data analysis techniques from satellites, aircraft, balloons, and surface-based platforms; in situ instruments, measurements, and methods for data acquisition, analysis, and interpretation and assimilation in numerical models; and information systems and algorithms.
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