Abstract

Abstract. A network of three tall tower measurement stations was set up in 2012 across the United Kingdom to expand measurements made at the long-term background northern hemispheric site, Mace Head, Ireland. Reliable and precise in situ greenhouse gas (GHG) analysis systems were developed and deployed at three sites in the UK with automated instrumentation measuring a suite of GHGs. The UK Deriving Emissions linked to Climate Change (UK DECC) network uses tall (165–230 m) open-lattice telecommunications towers, which provide a convenient platform for boundary layer trace gas sampling. In this paper we describe the automated measurement system and first results from the UK DECC network for CO2, CH4, N2O, SF6, CO and H2. CO2 and CH4 are measured at all of the UK DECC sites by cavity ring-down spectroscopy (CRDS) with multiple inlet heights at two of the three tall tower sites to assess for boundary layer stratification. The short-term precisions (1σ on 1 min means) of CRDS measurements at background mole fractions for January 2012 to September 2015 is < 0.05 µmol mol−1 for CO2 and < 0.3 nmol mol−1 for CH4. Repeatability of standard injections (1σ) is < 0.03 µmol mol−1 for CO2 and < 0.3 nmol mol−1 for CH4 for the same time period. N2O and SF6 are measured at three of the sites, and CO and H2 measurements are made at two of the sites, from a single inlet height using gas chromatography (GC) with an electron capture detector (ECD), flame ionisation detector (FID) or reduction gas analyser (RGA). Repeatability of individual injections (1σ) on GC and RGA instruments between January 2012 and September 2015 for CH4, N2O, SF6, CO and H2 measurements were < 2.8 nmol mol−1, < 0.4 nmol mol−1, < 0.07 pmol mol−1, < 2 nmol mol−1 and < 3 nmol mol−1, respectively. Instrumentation in the network is fully automated and includes sensors for measuring a variety of instrumental parameters such as flow, pressures, and sampling temperatures. Automated alerts are generated and emailed to site operators when instrumental parameters are not within defined set ranges. Automated instrument shutdowns occur for critical errors such as carrier gas flow rate deviations. Results from the network give good spatial and temporal coverage of atmospheric mixing ratios within the UK since early 2012. Results also show that all measured GHGs are increasing in mole fraction over the selected reporting period and, except for SF6, exhibit a seasonal trend. CO2 and CH4 also show strong diurnal cycles, with night-time maxima and daytime minima in mole fractions.

Highlights

  • Carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), sulfur hexafluoride (SF6), and carbon monoxide (CO) are potent greenhouse gases (GHGs), which have a significant influence on the earth’s climate system (Stocker et al, 2013)

  • All CO2 and CH4 data are publicly available as hourly means, whilst N2O, SF6, CO and H2 are available as discrete samples, at EBAS, as database infrastructure operated by the Norwegian Institute for Air Research and the World Data Centre for Greenhouse Gases

  • CO2 shows the most marked seasonal cycle of all the GHGs measured in the UK Deriving Emissions linked to Climate Change (UK DECC) network, due to its major biogenic uptake via photosynthesis and production from respiration, as well as anthropogenic sources

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Summary

Introduction

Carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), sulfur hexafluoride (SF6), and carbon monoxide (CO) are potent greenhouse gases (GHGs), which have a significant influence on the earth’s climate system (Stocker et al, 2013). Other background stations followed in the decades after Mauna Loa was set up, such as at Baring Head, New Zealand, in 1970 (Brailsford et al, 2012) and the Atmospheric Life Experiment (ALE, a predecessor to the current Advanced Global Atmospheric Gases Experiment, AGAGE) in 1978 (Prinn et al, 2000). Measurements from these background stations only constrained estimations of global or hemispheric-scale fluxes within inverse models and were not able to capture local to regional scales (Gloor et al, 2001). Sampling from tall towers reduces the influence of these local effects (Gerbig et al, 2003, 2009)

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