Tropospheric CH4 signals as observed by NDACC FTIR at globally distributed sites and comparison to GAW surface in situ measurements

• Published in: Atmospheric Measurement Techniques
• Main Authors: Sepúlveda Hernández, Eliezer, Schneider, Matthias, Hase, Frank, Barthlott, Sabine, Dubravica, Darko, García Rodríguez, Omaira Elena, Gómez Peláez, Ángel Jesús, González Ramos, Yenny, Guerra García, Juan Carlos, Gisi, Michael, Kohlhepp, R., Dohe, Susanne, Blumenstock, T., Strong, Kimberly, Weaver, Dan, Palm, Mathias, Sadeghi, Alireza, Deutscher, Nicholas Michael, Warneke, Thorsten, Notholt, Justus, Jones, Nicholas, Smale, Dan, Brailsford, Gordon W., Robinson, John, Meinhardt, Frank, Steinbacher, Martin, Aalto, Tuula, Worthy, Douglas E.
• Format: Article in Journal/Newspaper
• Language: English
• Published: European Geosciences Union 2014
• Subjects: Metano; Gases de efecto invernadero; Espectrometría de transformada de Fourier; Fourier transform spectrometer; Greenhouse gases; Methane; Ny-Ålesund; Ny Ålesund
• Online Access: https://hdl.handle.net/20.500.11765/503

We present lower/middle tropospheric column-averaged CH4 mole fraction time series measured by nine globally distributed ground-based FTIR (Fourier transform infrared) remote sensing experiments of the Network for the Detection of Atmospheric Composition Change (NDACC). We show that these data are well representative of the tropospheric regional-scale CH4 signal, largely independent of the local surface small-scale signals, and only weakly dependent on upper tropospheric/lower stratospheric (UTLS) CH4 variations. At Ny-Ålesund and Izaña, the FTIR work has received funding from the European Community’s Seventh Framework Programme ([FP7/2007–2013]) under grant agreement no. 284421 (see Article II.30. of the Grant Agreement). At Izaña has also received funding from the Ministerio de Economía and Competitividad from Spain for the project CGL2012-37505 (NOVIA project). This study has strongly benefited from work made in the framework of the project MUSICA, which is funded by the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007–2013)/ERC grant agreement number 256961.