Building the COllaborative Carbon Column Observing Network (COCCON): long-term stability and ensemble performance of the EM27/SUN Fourier transform spectrometer
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Published:2019-03-11
Issue:3
Volume:12
Page:1513-1530
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ISSN:1867-8548
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Container-title:Atmospheric Measurement Techniques
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language:en
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Short-container-title:Atmos. Meas. Tech.
Author:
Frey MatthiasORCID, Sha Mahesh K.ORCID, Hase Frank, Kiel MatthäusORCID, Blumenstock Thomas, Harig Roland, Surawicz Gregor, Deutscher Nicholas M.ORCID, Shiomi Kei, Franklin Jonathan E., Bösch Hartmut, Chen JiaORCID, Grutter MichelORCID, Ohyama HirofumiORCID, Sun Youwen, Butz AndréORCID, Mengistu Tsidu GizawORCID, Ene DragosORCID, Wunch DebraORCID, Cao Zhensong, Garcia Omaira, Ramonet Michel, Vogel FelixORCID, Orphal Johannes
Abstract
Abstract. In a 3.5-year long study, the long-term
performance of a mobile, solar absorption Bruker EM27/SUN spectrometer, used
for greenhouse gas observations, is checked with respect to a co-located
reference Bruker IFS 125HR spectrometer, which is part of the Total Carbon
Column Observing Network (TCCON). We find that the EM27/SUN is stable on
timescales of several years; the drift per year between the EM27/SUN and the
official TCCON product is 0.02 ppmv for XCO2 and 0.9 ppbv for
XCH4, which is within the 1σ precision of the comparison,
0.6 ppmv for XCO2 and 4.3 ppbv for XCH4. The bias between
the two data sets is 3.9 ppmv for XCO2 and 13.0 ppbv for
XCH4. In order to avoid sensitivity-dependent artifacts, the EM27/SUN
is also compared to a truncated IFS 125HR data set derived from
full-resolution TCCON interferograms. The drift is 0.02 ppmv for
XCO2 and 0.2 ppbv for XCH4 per year, with 1σ
precisions of 0.4 ppmv for XCO2 and 1.4 ppbv for XCH4,
respectively. The bias between the two data sets is 0.6 ppmv for
XCO2 and 0.5 ppbv for XCH4. With the presented long-term
stability, the EM27/SUN qualifies as an useful supplement to the existing
TCCON network in remote areas. To achieve consistent performance, such an
extension requires careful testing of any spectrometers involved by
application of common quality assurance measures. One major aim of the
COllaborative Carbon Column Observing Network (COCCON) infrastructure is to
provide these services to all EM27/SUN operators. In the framework of COCCON
development, the performance of an ensemble of 30 EM27/SUN spectrometers was
tested and found to be very uniform, enhanced by the centralized inspection
performed at the Karlsruhe Institute of Technology prior to deployment.
Taking into account measured instrumental line shape parameters for each
spectrometer, the resulting average bias across the ensemble with respect to
the reference EM27/SUN used in the long-term study in XCO2 is
0.20 ppmv, while it is 0.8 ppbv for XCH4. The average standard
deviation of the ensemble is 0.13 ppmv for XCO2 and 0.6 ppbv for
XCH4. In addition to the robust metric based on absolute differences,
we calculate the standard deviation among the empirical calibration factors.
The resulting 2σ uncertainty is 0.6 ppmv for XCO2 and
2.2 ppbv for XCH4. As indicated by the executed long-term study on
one device presented here, the remaining empirical calibration factor deduced
for each individual instrument can be assumed constant over time. Therefore
the application of these empirical factors is expected to further improve the
EM27/SUN network conformity beyond the scatter among the empirical
calibration factors reported above.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference39 articles.
1. Chen, J., Viatte, C., Hedelius, J. K., Jones, T., Franklin, J. E., Parker,
H., Gottlieb, E. W., Wennberg, P. O., Dubey, M. K., and Wofsy, S. C.:
Differential column measurements using compact solar-tracking spectrometers,
Atmos. Chem. Phys., 16, 8479–8498, https://doi.org/10.5194/acp-16-8479-2016,
2016. a, b 2. Davis, S., Abrams, M. C., and Brault, J. W.: Fourier Transform Spectrometry,
Academic press, 190–198, 2010. a 3. Dietrich, F. and Chen, J.: Portable Automated Enclosure for a Spectrometer
Measuring Greenhouse Gases, Geophys. Res. Abstracts, 20,
EGU2018-16281-1, https://doi.org/10.13140/RG.2.2.11591.14248, 2018. a 4. Dlugokencky, E. J., Masarie, K. A., Tans, P. P., Conway, T. J., and Xiong, X.:
Is the amplitude of the methane seasonal cycle changing?, Atmos.
Environ., 31, 21–26, https://doi.org/10.1016/S1352-2310(96)00174-4, 1997. a 5. Dohe, S.: Measurements of atmospheric CO2 columns using ground-based FTIR
spectra, Ph.D. thesis, Karlsruhe Institute of Technology, 2013. a
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