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TCCON and NDACC XCO measurements: difference, discussion and application
Título : TCCON and NDACC XCO measurements: difference, discussion and application
Autor : Zhou, MinqiangLangerock, BavoVigouroux, CorinneSha, Mahesh KumarHermans, ChristianMetzger, Jean-MarcChen, HuilinRamonet, MichelKivi, RigelHeikkinen, PauliSmale, DanPollard, David F.Jones, NicholasVelazco, Voltaire A.García Rodríguez, Omaira ElenaSchneider, MatthiasPalm, MathiasWarneke, ThorstenDe Mazière, Martine
Palabras clave : Measurements; Total Carbon Column Observing Network; Carbon monoxide
Fecha de publicación : 2019
Editor: European Geosciences Union
Citación : Atmospheric Measurement Techniques. 2019, 12(11), p. 5979–5995
Versión del editor: https://doi.org/10.5194/amt-12-5979-2019
Resumen : Column-averaged dry-air mole fraction of CO (XCO) measurements are obtained from two ground-based Fourier transform infrared (FTIR) spectrometers networks: the Total Carbon Column Observing Network (TCCON) and the Network for the Detection of Atmospheric Composition Change (NDACC). In this study, the differences between the TCCON and NDACC XCO measurements are investigated and discussed based on six NDACC/TCCON sites using data over the period 2007–2017. The NDACC XCO measurements are about 5.5 % larger than the TCCON data at Ny-Ålesund, Bremen, and Izaña (Northern Hemisphere), and about 0.3 % larger than the TCCON data at St Denis, Wollongong and Lauder (Southern Hemisphere). The hemispheric dependence of the bias is mainly attributed to their smoothing errors. The systematic smoothing error of the TCCON XCO data varies in the range between 0.2 % (Bremen) and 7.9 % (Lauder), and the random smoothing error in the range between 2.0 % and 3.6 %. The systematic smoothing error of NDACC data is between 0.1 % and 0.8 %, and the random smoothing error of NDACC data is about 0.3 %. For TCCON data, the smoothing error can be significant in that it is much higher than the reported uncertainty for TCCON XCO. To reduce the influence from the a priori profiles and different vertical sensitivities, the scaled NDACC a priori profiles are used as the common a priori profiles for comparing TCCON and NDACC retrievals. As a result, the biases between TCCON and NDACC XCO measurements become more consistent (5.6–8.5 %) with a mean value of 6.8 % at these sites. To understand the remaining bias, regular AirCore measurements at Orleans and Sodankylä are compared to co-located TCCON measurements. It is found that TCCON XCO measurements are 6.0 ± 1.9 % and 6.9  ± 2.5 % smaller than the AirCore measurements at Orleans and Sodankylä respectively, indicating that the scaling factor of TCCON XCO data should be around 1.0000 instead of 1.0672. Further investigations should be carried out in the TCCON community to determine the correct scaling factor to be applied to the TCCON XCO data. This paper also demonstrates that the smoothing error must be taken into account when comparing FTIR XCO data, and especially TCCON XCO data, with model or satellite data.
Patrocinador: This study is supported by the EU-funded C3S_311a_Lot3 project. The TCCON site at Reunion Island is operated by the Royal Belgian Institute for Space Aeronomy with financial support in 2014, 2015, and 2016, 2017 under the EU project ICOS-Inwire and the ministerial decree for ICOS (FR/35/IC2) and local activities supported by LACy/UMR8105 - Université de La Réunion. The NDACC and TCCON stations Ny-Ålesund, Bremen, Izaña have been supported by the German Bundesministerium für Wirtschaft und Energie (BMWi) 10 via DLR under grants 50EE1711A-B. The Lauder FTIR measurements are core funded by NIWA from New Zealand’s Ministry of Business, Innovation and Employment through the Strategic Science Investment Fund. We thank the HIPPO team for making the aircraft measurements available http://hippo.ucar.edu/.
URI : http://hdl.handle.net/20.500.11765/10752
ISSN : 1867-1381
1867-8548
Colecciones: Artículos científicos 2019-2022


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