Publications

2022, Schneider, M., Ertl, B., Diekmann, C. J., Khosrawi, F., Weber, A., Hase, F., Höpfner, M., García, O. E., Sepúlveda, E., and Kinnison, D., Design and description of the MUSICA IASI full retrieval product, Earth System Science Data, 14, 709–742, https://doi.org/10.5194/essd-14-709-2022
Tags: FTIR, Satellite

2022, Garcia, O.E., Sanromá, E., Schneider, M., Hase, F., León-Luis, S. F., Blumenstock, T., Sepúlveda, E., Redondas, A., Carreño, V., Torres, C., and Prats, N., Improved ozone monitoring by ground-based FTIR spectrometry, Atmospheric Measurement Techniques, 15, 2557–2577, https://doi.org/10.5194/amt-15-2557-2022
Tags: FTIR, Ozone

2022, Godin-Beekmann, Sophie, Niramson Azouz, Viktoria F. Sofieva, Daan Hubert, Irina Petropavlovskikh, Peter Effertz, Gérard Ancellet, Doug A. Degenstein, Daniel Zawada, Lucien Froidevaux, Stacey Frith, Jeannette Wild, Sean Davis, Wolfgang Steinbrecht, Thierry Leblanc, Richard Querel, Kleareti Tourpali, Robert Damadeo, Eliane Maillard Barras, René Stübi, Corinne Vigouroux, Carlo Arosio, Gerald Nedoluha, Ian Boyd, Roeland Van Malderen, Emmanuel Mahieu, Dan Smale, and Ralf Sussmann, Updated trends of the stratospheric ozone vertical distribution in the 60° S–60° N latitude range based on the LOTUS regression model, Atmospheric Chemistry and Physics, 22, 11657–11673, https://doi.org/10.5194/acp-22-11657-2022
Tags: Dobson, FTIR, Lidar, Ozone, Satellite, Trends

2022, Schneider, M., B. Ertl, C. J. Diekmann, F. Khosrawi, A.N. Röhling, F. Hase, D. Dubravica, O.E. García, E. Sepúlveda, T. Borsdorff, J. Landgraf, A. Lorente, H. Chen, R. Kivi, T. Laemmel, M. Ramonet, Crevoisier, C., Pernin, J., Steinbacher, M., Meinhardt, F., Deutscher, N. M., Griffith, D. W. T., V.A. Velazco, and D. F. Pollard, Synergetic use of IASI profile and TROPOMI totalcolumn level 2 methane retrieval products, Atmospheric Measurement Techniques, 15, 4339-4371, https://doi.org/10.5194/amt-15-4339-2022
Tags: CH4, FTIR, Satellite

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, Jalali, A., K.A. Walker, K. Strong, R.R. Buchholz, M.N. Deeter, D. Wunch, S. Roche, T. Wizenberg, E. Lutsch, E. McGee, H.M. Worden, P.F. Fogal, and J.R. Drummond, A comparison of carbon monoxide retrievals between the MOPITT satellite and Canadian High-Arctic ground-based NDACC and TCCON FTIR measurements, Atmospheric Measurement Techniques, 15, 6837–6863, https://doi.org/10.5194/amt-15-6837- 2022
Tags: CO, FTIR, Satellite

2022, Kille, N., K. J. Zarzana, J. Romero Alvarez, C. F. Lee, J. P. Rowe, B. Howard, T. Campos, A. Hills, R. S. Hornbrook, I. Ortega, W. Permar, I. T. Ku, J. Lindaas, I. B. Pollack, A. P. Sullivan, Y. Zhou, C. D. Fredrickson, B. B. Palm, Q. Peng, E. C. Apel, L. Hu, J. L. Collett, E. V. Fischer, F. Flocke, J. W. Hannigan, J. Thornton, and R. Volkamer, The CU Airborne Solar Occultation Flux Instrument: Performance Evaluation during BB-FLUX, ACR - Earth and Space Chemistry, 6(3), 582–596, https://doi.org/10.1021/acsearthspacechem.1c00281
Tags: FTIR

2021, Zhou, M., Jiang J, Langerock B, Dils B, Sha MK, De Mazière M, Change of CO Concentration Due to the COVID-19 Lockdown in China Observed by Surface and Satellite Observations, Remote Sensing, 13(6), 1129, https://doi.org/10.3390/rs13061129
Tags: FTIR, CO

2021, Zhang, Y., et al., Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations, Atmospheric Chemistry and Physics, 21, https://doi.org/10.5194/acp-21-3643-2021
Tags: CH4, FTIR, Satellite

2021, David, L., et al., XCO2 estimates from the OCO-2 measurements using a neural network approach, Atmospheric Measurement Techniques, 14, 117–132, https://doi.org/10.5194/amt-14-117-2021
Tags: FTIR, XCO2