Publications

2022, Pardo Cantos, I., E. Mahieu, M. P. Chipperfield, D. Smale, J. W. Hannigan, M. Friedrich, P. Fraser, P.Krummel, M. Prignon, J. Makkor, C. Servaisj and J. Robinson, Determination and analysis of time series of CFC-11 (CCl3F) from FTIR solar spectra, in situ observations, and model data in the past 20 years above Jungfraujoch (46°N), Lauder (45°S), and Cape Grim (40°S) stations, Environmental Sciences, 2, 1487-1501, https://doi.org/10.1039/D2EA00060A
Tags: CFC, FTIR, Model

2022, Bahramvash Shams, S., V. P. Walden, J. W. Hannigan, W. J. Randel, I. V. Petropavlovskikh, A. H. Butler, and A. de la Cámara, Analyzing ozone variations and uncertainties at high latitudes during sudden stratospheric warming events using MERRA-2, Atmospheric Chemistry and Physics, 22.8, 5435–5458, https://doi.org/10.5194/acp-22-5435-2022
Tags: Model, 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, 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

2021, Groebner, et al., Consistency of total column ozone measurements between the Brewer and Dobson spectroradiometers of the LKO Arosa and PMOD/WRC Davos, Atmospheric Measurement Techniques, 14, 3319–3331, https://doi.org/10.5194/amt-14-3319-2021
Tags: Brewer, Dobson, Ozone, Calibration

2021, Stubi, R., Schill, H., Klausen, J., Maillard Barras, E., Haefele, A., A fully automated Dobson sun spectrophotometer for total column ozone and Umkehr measurements, Atmospheric Measurement Techniques, 14, 5757–5769, https://doi.org/10.5194/amt-14-5757-2021
Tags: Dobson, Ozone, Umkehr

2021, Stubi, R., Schill, H., Maillard Barras, E., Klausen, J., Haefele, A., Quality assessment of Dobson spectrophotometers for ozone column measurements before and after automation at Arosa and Davos, Atmospheric Measurement Techniques, 14, 4203–4217, https://doi.org/10.5194/amt-14-4203-2021
Tags: Dobson, Ozone

2021, Prignon, M., Chabrillat, S., Friedrich, M., Smale, D., Strahan, S. E., Bernath, P. F., Chipperfield, M. P., Dhomse, S. S., Feng, W., Minganti, D., Servais, C. and Mahieu, E., Stratospheric fluorine as a tracer of circulation changes: comparison between infrared remote‐sensing observations and simulations with five modern reanalyses, Journal of Geophysical Research: Atmospheres, 126(19), https://doi.org/10.1029/2021JD034995
Tags: F, FTIR, Model

2021, Sun, Y., Yin, H., Liu, C., Zhang, L., Cheng, Y., Palm, M., Notholt, J., Lu, X., Vigouroux, C., Zheng, B., Wang, W., Jones, N., Shan, C., Qin, M., Tian, Y., Hu, Q., Meng, F., and Liu, J., Mapping the drivers of formaldehyde (HCHO) variability from 2015 to 2019 over eastern China: insights from Fourier transform infrared observation and GEOS-Chem model simulation, Atmospheric Chemistry and Physics, 21, 6365–6387, https://doi.org/10.5194/acp-21-6365-2021
Tags: Model, FTIR, HCHO

2021, Marlton, G., et al., Using a network of temperature lidars to identify temperature biases in the upper stratosphere in ECMWF reanalyses, Atmospheric Chemistry and Physics, 21(8), 6079–6092, https://doi.org/10.5194/acp-21-6079-2021
Tags: Lidar, Model, Temperature