Using XCO2 retrievals for assessing the long-term consistenc
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TitleUsing XCO2 retrievals for assessing the long-term consistency of NDACC/FTIR data setsAbstractWithin the NDACC (Network for the Detection of Atmospheric Composition Change), more than 20 FTIR (Fourier-transform infrared) spectrometers, spread worldwide, provide long-term data records of many atmospheric trace gases. We present a method that uses measured and modelled XCO<inf>2</inf> for assessing the consistency of these NDACC data records. Our XCO<inf>2</inf> retrieval setup is kept simple so that it can easily be adopted for any NDACC/FTIR-like measurement made since the late 1950s. By a comparison to coincident TCCON (Total Carbon Column Observing Network) measurements, we empirically demonstrate the useful quality of this suggested NDACC XCO<inf>2</inf> product (empirically obtained scatter between TCCON and NDACC is about 4‰ for daily mean as well as monthly mean comparisons, and the bias is 25‰). Our XCO<inf>2</inf> model is a simple regression model fitted to CarbonTracker results and the Mauna Loa CO<inf>2</inf> in situ records. A comparison to TCCON data suggests an uncertainty of the model for monthly mean data of below 3‰. We apply the method to the NDACC/FTIR spectra that are used within the project MUSICA (multi-platform remote sensing of isotopologues for investigating the cycle of atmospheric water) and demonstrate that there is a good consistency for these globally representative set of spectra measured since 1996: the scatter between the modelled and measured XCO<inf>2</inf> on a yearly time scale is only 3‰. â"' Author(s) 2015.AcknowledgementsWe would like to thank the many different technicians, PhD students, post-docs and scientists from the different research groups what have been involved in the NDACC-FTIR activities during the last two decades. Thanks to their excellent work (maintenance, calibration, observation activities, etc.), high-quality long-term data sets can be generated. The Eureka measurements were made at the Polar Environment Atmospheric Research Laboratory (PEARL) by the Canadian Network for the Detection of Atmospheric Change (CANDAC), led by James R. Drummond and in part by the Canadian Arctic ACE Validation Campaigns, led by Kaley A. Walker. They were supported by the AIF/NSRIT, CFI, CFCAS, CSA, EC, GOCIPY, NSERC, NSTP, OIT, PCSP and ORF. The authors wish to thank Rebecca Batchelor, Rodica Lindenmaier, PEARL site manager Pierre F. Fogal, the CANDAC operators and the staff at Environment CanadaÅ› Eureka weather station for their contributions to data acquisition and logistical and on-site support. We thank the Alfred Wegener Institut Bremerhaven for support in using the AWIPEV research base, Spitsbergen, Norway. The work has been supported by EU-Project NORS. We would like to thank Peter Völger for technical support at IRF Kiruna. The University of Liège contribution has been supported by the A3C PRODEX program (Belgian Science Policy Office, Brussels), by the GAW-CH program of MeteoSwiss (Zürich), by the F.R.S.- FNRS and the Fédération Wallonie-Bruxelles. We thank the International Foundation High Altitude Research Stations Jungfraujoch and Gornergrat (HFSJG, Bern) for supporting the facilities needed to perform the observations. E. Sepúlveda enjoyed a pre-doctoral fellowship thanks to the Spanish Ministry of Education. Measurements at Wollongong are supported by the Australian Research Council, grant DP110103118. Measurements at Lauder and Arrival Heights are core funded through New ZealandÅ› Ministry of Business, Innovation and Employment. We would like to thank Antarctica New Zealand and the Scott Base staff for providing logistical support for the NDACCFTIR measurement program at Arrival Heights. TCCON data were obtained from the TCCON Data Archive, operated by the California Institute of Technology from the website at http://tccon.ipac.caltech.edu/. This study has been conducted in the framework of the project MUSICA, which is funded by the European Research Council under the European CommunityÅ› Seventh Framework Programme (FP7/2007--2013)/ERC Grant agreement number 256961. We acknowledge the support by the Deutsche Forschungsgemeinschaft and the Open Access Publishing Fund of the Karlsruhe Institute of Technology.Funding DetailsDP110103118, ARC, Canadian Foundation for Climate and Atmospheric Sciences; Caltech, Canadian Foundation for Climate and Atmospheric Sciences; CFCAS, Canadian Foundation for Climate and Atmospheric Sciences; CFI, Canadian Foundation for Climate and Atmospheric Sciences; CSA, Canadian Foundation for Climate and Atmospheric Sciences; DFG, Canadian Foundation for Climate and Atmospheric Sciences; EC, Canadian Foundation for Climate and Atmospheric Sciences; ERC, Canadian Foundation for Climate and Atmospheric Sciences; NSERC, Canadian Foundation for Climate and Atmospheric Sciences
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1st AuthorBarthlott, S.AuthorBarthlott, S.Schneider, M.Hase, F.Wiegele, A.Christner, E.González, Y.Blumenstock, T.Dohe, S.Garc\Ìia, O.Sepúlveda, E.Strong, K.Mendonca, J.Weaver, D.Palm, M.Deutscher, N.Warneke, T.Notholt, J.Lejeune, B.Mahieu, E.Jones, N.Griffith, D.Velazco, V.Smale, D.Robinson, J.Kivi, R.Heikkinen, P.Raffalski, U.Year2015JournalAtmospheric Measurement TechniquesVolume8Number3Pages1555-1573DOI10.5194/amt-8-1555-2015URLhttps://www.scopus.com/inward/recor.....5a3fbc221928b494f0f2ca9daKeywordsatmospheric chemistrycarbon dioxidecomparative studydata setFTIR spectroscopyisotopic compositionlong-term changeregression analysisremote sensingspatiotemporal analysistrace gasuncertainty analysis, Hawaii [(ISL) Hawaiian Islands]Hawaii [United States]Hawaiian IslandsMauna Loa, rank5ProgrammeK085 - Remote sensing and sampling of atmospheric trace gases and greenhouse gases
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TypeArticleCitationBarthlott, S., Schneider, M., Hase, F., Wiegele, A., Christner, E., González, Y., Blumenstock, T., Dohe, S., Garc\Ìia, O., Sepúlveda, E., Strong, K., Mendonca, J., Weaver, D., Palm, M., Deutscher, N., Warneke, T., Notholt, J., Lejeune, B., Mahieu, E., Jones, N., Griffith, D., Velazco, V., Smale, D., Robinson, J., Kivi, R., Heikkinen, P. and Raffalski, U. (2015). Using XCO2 retrievals for assessing the long-term consistency of NDACC/FTIR data sets. Atmospheric Measurement Techniques, 8(3): 1555-1573 IdentifierBarthlott2015Relevancerank5
Raffalski, U., Using XCO2 retrievals for assessing the long-term consistenc , [Barthlott2015]. Antarctica NZ, accessed 21/05/2025, https://adam.antarcticanz.govt.nz/nodes/view/63388, 10.5194/amt-8-1555-2015