Abstract

Abstract. Several initiatives are currently emerging to observe the exchange of energy and matter between the earth's surface and atmosphere standardized over larger space and time domains. For example, the National Ecological Observatory Network (NEON) and the Integrated Carbon Observing System (ICOS) are set to provide the ability of unbiased ecological inference across ecoclimatic zones and decades by deploying highly scalable and robust instruments and data processing. In the construction of these observatories, enclosed infrared gas analyzers are widely employed for eddy covariance applications. While these sensors represent a substantial improvement compared to their open- and closed-path predecessors, remaining high-frequency attenuation varies with site properties and gas sampling systems, and requires correction. Here, we show that components of the gas sampling system can substantially contribute to such high-frequency attenuation, but their effects can be significantly reduced by careful system design. From laboratory tests we determine the frequency at which signal attenuation reaches 50 % for individual parts of the gas sampling system. For different models of rain caps and particulate filters, this frequency falls into ranges of 2.5–16.5 Hz for CO2, 2.4–14.3 Hz for H2O, and 8.3–21.8 Hz for CO2, 1.4–19.9 Hz for H2O, respectively. A short and thin stainless steel intake tube was found to not limit frequency response, with 50 % attenuation occurring at frequencies well above 10 Hz for both H2O and CO2. From field tests we found that heating the intake tube and particulate filter continuously with 4 W was effective, and reduced the occurrence of problematic relative humidity levels (RH > 60 %) by 50 % in the infrared gas analyzer cell. No further improvement of H2O frequency response was found for heating in excess of 4 W. These laboratory and field tests were reconciled using resistor–capacitor theory, and NEON's final gas sampling system was developed on this basis. The design consists of the stainless steel intake tube, a pleated mesh particulate filter and a low-volume rain cap in combination with 4 W of heating and insulation. In comparison to the original design, this reduced the high-frequency attenuation for H2O by ≈ 3∕4, and the remaining cospectral correction did not exceed 3 %, even at high relative humidity (95 %). The standardized design can be used across a wide range of ecoclimates and site layouts, and maximizes practicability due to minimal flow resistance and maintenance needs. Furthermore, due to minimal high-frequency spectral loss, it supports the routine application of adaptive correction procedures, and enables largely automated data processing across sites.

Highlights

  • The ecological research community long ago identified the need for integrated research programs that focus on understanding the underlying ecological processes and the impacts on biological diversity due to global change (Lubchenco et al, 1991)

  • Careful optimization of the gas sampling system for an enclosed gas analyzer was developed based on 114 laboratory tests and multiple validation field experiments conducted by The National Ecological Observatory Network (NEON), the University of Colorado and LI-COR over the 6-year period

  • – A suitable gas sampling system for routine observations was found to consist of a small-volume (≤ 3.2 cm3) rain cap, a 2 μm pleated mesh particulate filter, a 70 cm long stainless steel tube with 4.8 mm inner diameter and up to 4 W of continuous heating of filter and tube

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Summary

Introduction

The ecological research community long ago identified the need for integrated research programs that focus on understanding the underlying ecological processes and the impacts on biological diversity due to global change (Lubchenco et al, 1991). Several large research infrastructure projects have been designed and initiated to address these challenges including the US National Ecological Observatory Network (NEON), the European Integrated Carbon Observation System (ICOS), and the Australian Terrestrial Ecosystem Research Network (TERN). NEON has adopted a requirements-based approach to guide its science and infrastructure design. Such an approach decomposes the overarching science goals (e.g. Grand Challenges) into a hierarchy of objective design statements (Schimel et al, 2011). Those design statements capture the scope of the system, as well as how it will perform. While instrumentation itself may meet specified requirements, the integration into an automatable system may be challenging for complex systems such as NEON’s eddy covariance (EC) measurements

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