Publications
2022, Hannigan, J.W., I. Ortega, S. B. Shams, T. Blumenstock, J. E. Campbell, S. Conway, V. Flood, O. García, D. Griffith, M. Grutter, F. Hase, P. Jeseck, N. Jones, E. Mahieu, M. Makarova, M. De Mazière, I. Morino, I. Murata, T. Nagahama, H. Nakijima, J. Notholt, M. Palm, A. Poberovskii, M. Rettinger, J. Robinson, A. N. Röhling, M. Schneider, C. Servais, D. Smale, W. Stremme, K. Strong, R. Sussmann, Y. Té, C. Vigouroux, and T. Wizenberg, Global Atmospheric OCS Trend Analysis from 22 NDACC Stations, Journal of Geophysical Research: Atmospheres, 127(4), https://doi.org/10.1029/2021JD035764
Tags: FTIR, OCS, Trends
2022, Butz, A., Hanft V., Kleinschek R., Frey M. M., Müller A., Knapp M., Morino I., Agusti-Panareda A., Hase F., Landgraf J., Vardag S., Tanimoto H., Versatile and Targeted Validation of Space-Borne XCO2, XCH4 and XCO Observations by Mobile Ground-Based Direct-Sun Spectrometers, Frontiers in Remote Sensing, 2, 53, https://doi.org/10.3389/frsen.2021.775805
Tags: FTIR, Validation, XCH4, XCO, XCO2
2022, Trieu, T.T.N., I. Morino, O. Uchino, Y. Tsutsumi, T. Sakai, T. Nagai, A. Yamazaki, H. Okumura, K. Arai, K. Shiomi, D.F. Pollard, B. Liley , Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data, International Journal of Remote Sensing, 43:5, 1770-1799, https://doi.org/10.1080/01431161.2022.2038395
Tags: Aerosol, Clouds, FTIR, Lidar, Satellite, UVVis, XCH4, XCO2
2021, Stanevich, I., D.B.A. Jones, K. Strong, M. Keller, D.K. Henze, R.J. Parker, H. Boesch, D. Wunch, J. Notholt, C. Petri, T. Warneke, R. Sussmann, M. Schneider, F. Hase, R. Kivi, N.M. Deutscher, V.A. Velazco, K.A. Walker, and F. Deng, Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation, Atmospheric Chemistry and Physics, 21, 9545–9572, https://doi.org/10.5194/acp-21-9545-2021
Tags: FTIR, Satellite, CH4, XCH4
2018, Schaefer, H., Smale, D., Nichol, S. E., Bromley, T. M., Brailsford, G. W., Martin, R. J., Moss, R., Englund Michel, S., and White, J. W. C., Limited impact of El Niño–Southern Oscillation on variability and growth rate of atmospheric methane, Biogeosciences, 15, 6371-6386, https://doi.org/10.5194/bg-15-6371-2018
Tags: CH, ENSO, FTIR
2018, Toon, G.C., Jean-Francois L. Blavier, and Keeyoon Sung, Atmospheric carbonyl sulfide (OCS) measured remotely by FTIR solar absorption spectrometry, Atmospheric Chemistry and Physics, 18, 1923–1944, https://doi.org/10.5194/acp-18-1923-2018
Tags: FTIR, OCS
2017, Lejeune, L., Mahieu, E., Vollmer, M. K., Reimann, S., Bernath, P. F., Boone, C. D., Walker, K. A. and Servais, C, Optimized approach to retrieve information on atmospheric carbonyl sulfide (OCS) above the Jungfraujoch station and change in its abundance since 1995, Journal of Quantitative Spectroscopy and Radiative Transfer, 186, 81–95, https://doi.org/10.1016/j.jqsrt.2016.06.001
Tags: FTIR, OCS
2017, Taquet, N., Meza-Hernandez I., Stremme W., Bezanilla A., Grutter M., Campion R., Palm M., Boulesteix T., Continuous measurements of SiF4 and SO2 by thermal emission spectroscopy: Insight from a 6-month survey at the Popocatepetl volcano, Journal of Volcanology and Geothermal Research, 341 (2017) 255-26, https://doi.org/10.1016/j.jvolgeores.2017.05.009
Tags: FTIR, SiF4, SO2
2016, Wang, Y., et al., Towards understanding the variability in biospheric CO2 fluxes: using FTIR spectrometry and a chemical transport model to investigate the sources and sinks of carbonyl sulfide and its link to CO2, Atmospheric Chemistry and Physics, 16(4), 2123-2138, https://doi.org/10.5194/acp-16-2123-2016
Tags: CO2, FTIR, OCS
2006, Rinsland, C.P., A. Goldman, J.W. Elkins, L.S. Chiou, J.W. Hannigan, S.W. Wood, E. Mahieu, and R. Zander, Long-term trend of CH at northern mid-latitudes: Comparisons between ground-based infrared solar and surface sampling measurements, Journal of Quantitative Spectroscopy and Radiative Transfer, 97, 457-466
Tags: CH, FTIR, Trends