Publications

2022, Ardalan, M., Keckhut P., Hauchecorne A., Wing R., Meftah M., Farhani G., Updated Climatology of Mesospheric Temperature Inversions Detected by Rayleigh Lidar above Observatoire de Haute Provence, France, Using a K-Mean Clustering Technique, Atmosphere, 13 (5), pp.814, https://doi.org/10.3390/atmos13050814
Tags: Lidar, Temperature

2022, Knowland, K.E., C. A. Keller, P. A. Wales, K. Wargan, L. Coy, M. S. Johnson, J. Liu, R. A. Lucchesi, S. D. Eastham, E. Fleming, Q. Liang, T. Leblanc, N. J. Livesey, K. A. Walker, L. E. Ott, S. Pawson, NASA GEOS Composition Forecast Modeling System GEOS-CF v1.0: Stratospheric Composition, Journal of Advances in Modeling Earth Systems, 14(6), e2021MS002852, https://doi.org/10.1029/2021MS002852
Tags: Aerosol, Lidar, Model

2022, Chouza, F., Leblanc, T., Brewer, M., Wang, P., Martucci, G., Haefele, A., Vérèmes, H., Duflot, V., Payen, G., and Keckhut, P., The impact of aerosol fluorescence on long-term water vapor monitoring by Raman lidar and evaluation of a potential correction method, Atmospheric Measurement Techniques, 15, 4241–4256, https://doi.org/10.5194/amt-15-4241-2022
Tags: Aerosol, H2O, Lidar

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

2022, Karagkiozidis, D., Friedrich, M. M., Beirle, S., Bais, A., Hendrick, F., Voudouri, K. A., Fountoulakis, I., Karanikolas, A., Tzoumaka, P., Van Roozendael, M., Balis, D., and Wagner, T., Retrieval of tropospheric aerosol, NO2, and HCHO vertical profiles from MAX-DOAS observations over Thessaloniki, Greece: intercomparison and validation of two inversion algorithms, Atmospheric Measurement Techniques, 15, 1269–1301, https://doi.org/10.5194/amt-15-1269-2022
Tags: Aerosol, Algorithm, CalVal, HCHO, NO2, UVVis

2022, Khaykin, S.A., A. Podglajen, F. Ploeger, J. Grooß, F. Tence, S. Bekki, K. Khlopenkov, K. Bedka, L. Rieger, A. Baron, S. Beekmann, B. Legras, P. Sellitto, T. Sakai, J. Barnes, O. Uchino, I. Morino, T. Nagai, R. Wing, G. Baumgarten, M. Gerding, V. Duflot, G. Payen, J. Jumelet, R. Querel, B., A. Bourassa, B. Clouser, A. Feofilov, A. Hauchecorne, and F. Ravetta , Global perturbation of stratospheric water and aerosol burden by Hunga eruption, Communications Earth Environment, 3, 316, https://doi.org/10.1038/s43247-022-00652-x
Tags: Aerosol, H2O, Lidar, Volcano

2022, Le Du, T., Keckhut P., Hauchecorne A., Simoneau P., Observation of Gravity Wave Vertical Propagation through a Mesospheric Inversion Layer, Atmosphere, 13 (7), pp.1003, https://doi.org/10.3390/atmos13071003
Tags: Lidar, Temperature

2021, Wang, B., Kuang, S., Pfister, G. G., Pour-Biazar, A., Buchholz, R. R., Langford, A. O., & Newchurch, M. J. , Impact of the 2016 Southeastern US Wildfires on the Vertical Distribution of Ozone and Aerosol at Huntsville, Alabama, Journal of Geophysical Research: Atmospheres, 126(9), e2021JD034796, https://doi.org/10.1029/2021JD034796
Tags: Lidar, Fire, Ozone, Aerosol

2021, Keckhut, P., Hauchecorne A., Meftah M., Khaykin S., Claud C., Simoneau P., Middle-Atmosphere Temperature Monitoring Addressed with a Constellation of CubeSats dedicated to Climate issues, Journal of Atmospheric and Oceanic Technology, 38(3), 685–693, https://doi.org/10.1175/JTECH-D-20-0046.1
Tags: Lidar, Satellite, 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