Abstract
In this study, an extension on the previously reported status of the COllaborative Carbon Column Observing Network's (COCCON) calibration procedures incorporating refined methods is presented. COCCON is a global network of portable Bruker EM27/SUN FTIR spectrometers for deriving column-averaged atmospheric abundances of greenhouse gases. The original laboratory open-path lamp measurements for deriving the instrumental line shape (ILS) of the spectrometer from water vapour lines have been refined and extended to the secondary detector channel incorporated in the EM27/SUN spectrometer for detection of carbon monoxide (CO). The refinements encompass improved spectroscopic line lists for the relevant water lines and a revision of the laboratory pressure measurements used for the analysis of the spectra. The new results are found to be in good agreement with those reported by Frey et al. (2019) and discussed in detail. In addition, a new calibration cell for ILS measurements was designed, constructed and put into service. Spectrometers calibrated since January 2020 were tested using both methods for ILS characterization, open-path (OP) and cell measurements. We demonstrate that both methods can detect the small variations in ILS characteristics between different spectrometers, but the results of the cell method indicate a systematic bias of the OP method. Finally, a revision and extension of the COCCON network instrument-to-instrument calibration factors for XCO2, XCO and XCH4 is presented, incorporating 47 new spectrometers (of 83 in total by now). This calibration is based on the reference EM27/SUN spectrometer operated by the Karlsruhe Institute of Technology (KIT) and spectra collected by the collocated TCCON station Karlsruhe. Variations in the instrumental characteristics of the reference EM27/SUN from 2014 to 2017 were detected, probably arising from realignment and the dual-channel upgrade performed in early 2018. These variations are considered in the evaluation of the instrument-specific calibration factors in order to keep all tabulated calibration results consistent.
| Original language | English |
|---|---|
| Pages (from-to) | 2433-2463 |
| Number of pages | 31 |
| Journal | Atmospheric Measurement Techniques |
| Volume | 15 |
| Issue number | 8 |
| Early online date | 22 Apr 2022 |
| DOIs | |
| Publication status | Published - 2022 |
Bibliographical note
Funding Information:The initial development and further improvements of the PROFFAST code are supported by the European Space Agency (ESA) in the framework of the COCCON-PROCEEDS project. The code aims at efficient analysis of greenhouse gases from ground-based near-infrared solar absorption spectra. Together with the pre-processing code PREPROCESS, it forms the data analysis chain of COCCON. The code is open source and freely available. It performs least-squares fitting of the spectra by adjusting scaling factors on the a priori profiles of the trace gases and auxiliary parameters. It is important in the context of this work that PROFFAST is capable of taking into account the ILS parameters as determined by the open-path measurements. If this information is neglected, additional scatter between the atmospheric trace gas results achieved with different spectrometers would result, and different gas-specific empirical calibration factors would result from the side-by-side solar observations for each spectrometer (these factors are reported in Sect. 6.2). Additional information on the code is provided by Frey et al. (2021) and Sha et al. (2020).
Funding Information:
Acknowledgement. We thank Martin Kohler for providing the meteorological data sets from IMK-TRO’s tower. Dragos Ene wants to acknowledge the Romanian National Core Program (contract no. 18N/2019) for funding his activities. Diogo J. Medeiros acknowledges the São Paulo Research Foundation (FAPESP) for financial support (grant 2019/27079-2). The Wollongong team want to acknowledge the Australian Research Council (ARC) for supporting their activities under the grants DP160101598 and LE0668470.
Funding Information:
Financial support. This research has been supported by
Publisher Copyright:
© 2022 Carlos Alberti et al.
Funding
The initial development and further improvements of the PROFFAST code are supported by the European Space Agency (ESA) in the framework of the COCCON-PROCEEDS project. The code aims at efficient analysis of greenhouse gases from ground-based near-infrared solar absorption spectra. Together with the pre-processing code PREPROCESS, it forms the data analysis chain of COCCON. The code is open source and freely available. It performs least-squares fitting of the spectra by adjusting scaling factors on the a priori profiles of the trace gases and auxiliary parameters. It is important in the context of this work that PROFFAST is capable of taking into account the ILS parameters as determined by the open-path measurements. If this information is neglected, additional scatter between the atmospheric trace gas results achieved with different spectrometers would result, and different gas-specific empirical calibration factors would result from the side-by-side solar observations for each spectrometer (these factors are reported in Sect. 6.2). Additional information on the code is provided by Frey et al. (2021) and Sha et al. (2020). Acknowledgement. We thank Martin Kohler for providing the meteorological data sets from IMK-TRO’s tower. Dragos Ene wants to acknowledge the Romanian National Core Program (contract no. 18N/2019) for funding his activities. Diogo J. Medeiros acknowledges the São Paulo Research Foundation (FAPESP) for financial support (grant 2019/27079-2). The Wollongong team want to acknowledge the Australian Research Council (ARC) for supporting their activities under the grants DP160101598 and LE0668470. Financial support. This research has been supported by
| Funders | Funder number |
|---|---|
| European Space Agency | |
| COCCON-PROCEEDS | 4000136108/21/I-DT-lr, FRM4GHG 2.0, 4000121212/17/I-EF, 4000128426/19/NL/FF/ab |
| Romanian National Core Program | 18N/2019 |
| Australian Research Council | LE0668470, DP160101598 |
| Fundação de Amparo à Pesquisa do Estado de São Paulo | 2019/27079-2 |
| Natural Environment Research Council | NE/S013385/1 |
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