Publications

2022, Mariaccia, A., Keckhut P., Hauchecorne A., Claud C., Le Pichon A., Meftah M., Khaykin S., Assessment of ERA-5 Temperature Variability in the MiddleAtmosphere Using Rayleigh LiDAR Measurements between 2005 and 2020, Atmosphere, 13 (2), 242, http://doi.org/10.3390/atmos13020242
Tags: Lidar, Model, Temperature

2022, Perrin, A., L. Manceron, R. Armante, F. Kwabia-Tchana, P. Roy, D. Doizi & G.C. Toon, The 5.8 µm absorption bands for nitric acid (H14N16O3): line positions and intensities for the ν2 band at 1709.567 cm−1 and for its first associated hot bands (ν2+ν9−ν9, ν2+ν7−ν7, ν2+ν6−ν6), Molecular Physics, 120:15-16, https://doi.org/10.1080/00268976.2021.1998931
Tags: FTIR, Nitric Acid

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, Zeng, X., Wang, W., Liu, C., Shan, C., Xie, Y., Wu, P., Zhu, Q., Zhou, M., De Mazière, M., Mahieu, E., Pardo Cantos, I., Makkor, J., and Polyakov, A., Retrieval of atmospheric CFC-11 and CFC-12 from high-resolution FTIR observations at Hefei and comparisons with other independent datasets, Atmospheric Measurement Techniques, 15, 6739–6754, https://doi.org/10.5194/amt-15-6739-2022
Tags: CFC, FTIR, Validation

2022, Barnes, P.W., T. M. Robson, P. J. Neale, C. E. Williamson, R. G. Zepp, S. Madronich, S. R. Wilson, A. L. Andrady, A. M. Heikkilä, G. H. Bernhard, A. F. Bais, R. E. Neale, J. F. Bornman, M. A. K. Jansen, A. R. Klekociuk, J. Martinez-Abaigar, S. A. Robinson, Q.-W. Wang, A. T. Banaszak, D.-P. Häder, S. Hylander, K. C. Rose, S.-Å. Wängberg, B. Foereid, W.-C. Hou, R. Ossola, N. D. Paul, J. E. Ukpebor, M. P. S. Andersen, J. Longstreth, T. Schikowski, K. R. Solomon, B. Sulzberger, L. S. Bruckman, K. K. Pandey, C. C. White, L. Zhu, M. Zhu, P. J. Aucamp, J. B. Liley, R. L. McKenzie, M. Berwick, S. N. Byrne, Environmental effects of stratospheric ozone depletion, UV radiation, and interactions with climate change: UNEP Environmental Effects Assessment Panel, Update 2021, Photochemical & Photobiological Sciences, 21, 275–301, https://doi.org/10.1007/s43630-022-00176-5
Tags: Erythemal UV, Ozone, Spectral UV

2021, Brogniez, C., Doré, J.-F., Auriol, F., Cesarini, P., Minvielle, F., Deroo, C., Catalfamo, M., Metzger, J.-M. & Da Conceicao, P., Erythemal and vitamin D weighted solar UV dose-rates and doses estimated from measurements in mainland France and on Réunion Island, Journal of Photochemistry and Photobiology B: Biology, 225(112330), https://doi.org/10.1016/j.jphotobiol.2021.112330
Tags: Erythemal UV, Spectral UV, Vitamin D

2021, Martucci, G., Navas-Guzmán, F., Renaud, L., Romanens, G., Gamage, S. M., Hervo, M., Jeannet, P., and Haefele, A., Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne, Atmospheric Measurement Techniques, 14, 1333–1353, https://doi.org/10.5194/amt-14-1333-2021
Tags: Lidar, Temperature

2021, Wing, R., S. Godin-Beekmann, W. Steinbrecht, T.J. Mcgee, J.T. Sullivan, S. Khaykin, G. Sumnicht, and L. Twigg, Evaluation of the new DWD ozone and temperature lidar during the Hohenpeißenberg Ozone Profiling Study (HOPS) and comparison of results with previous NDACC campaigns, Atmospheric Measurement Techniques, 14(5), 3773-3794, https://doi.org/10.5194/amt-14-3773-2021
Tags: Lidar, Ozone, Temperature, Validation

2021, Brunamonti, S., Martucci, G., Romanens, G., Poltera, Y., Wienhold, F. G., Hervo, M., Haefele, A., and Navas-Guzmán, F., Validation of aerosol backscatter profiles from Raman lidar and ceilometer using balloon-borne measurements, Atmospheric Chemistry and Physics, 21, 2267–2285, https://doi.org/10.5194/acp-21-2267-2021
Tags: Lidar, Sonde, Temperature

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