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

2020, Polyakov, A., Y. Virolainen, A. Poberovskiy, M. Makarova and Y. Timofeyev, Atmospheric HCFC-22 total columns near St. Petersburg: stabilization with start of a decrease, International Journal of Remote Sensing, 41(11), 4365-4371, https://doi.org/10.1080/01431161.2020.1717668
Tags: FTIR, HCFC-22, Trends

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

2016, Zhou, M., Vigouroux, C., Langerock, B., Wang, P., Dutton, G., Hermans, C., Kumps, N., Metzger, J.-M., Toon, G., and De Mazière, M., CFC-11, CFC-12 and HCFC-22 ground-based remote sensing FTIR measurements at Réunion Island and comparisons with MIPAS/ENVISAT data, Atmospheric Measurement Techniques, 9, 5621-5636, https://doi.org/10.5194/amt-9-5621-2016
Tags: CFC, FTIR, HCFC-22, Satellite, Validation

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

2005, Rinsland, C.P., L. S. Chiou, A. Goldman, and S.W. Wood, Long-Term Trend in CHF2Cl (HCFC-22) from High Spectral Resolution infrared solar absorption measurements and Comparison with In Situ Measurements, Journal of Quantitative Spectroscopy and Radiative Transfer, 90, 367-375
Tags: FTIR, HCFC-22, Trends