Publications

2021, Verhoelst, T., S. Compernolle, G. Pinardi, J.-C. Lambert, H.J. Eskes, K.-U. Eichmann, A.M. Fjæraa, J. Granville, S. Niemeijer, A. Cede, M. Tiefengraber, F. Hendrick, A. Pazmiño, A. Bais, A. Bazureau, K. F. Boersma, K. Bognar, A. Dehn, S. Donner, A. Elokhov, M. Gebetsberger, F. Goutail, M. Grutter de la Mora, A. Gruzdev, M. Gratsea, G.H. Hansen, H. Irie, N. Jepsen, Y. Kanaya, D. Karagkiozidis, R. Kivi, K. Kreher, P.F. Levelt, C. Liu, M. Müller, M. Navarro Comas, A.J.M. Piters, J.-P. Pommereau, T. Portafaix, C. Prados-Roman, O. Puentedura, R. Querel, J. Remmers, A. Richter, J. Rimmer, C. Rivera Cárdenas, L. Saavedra de Miguel, V. P. Sinyakov, W. Stremme, K. Strong, M. Van Roozendael, J.P. Veefkind, T. Wagner, F. Wittrock, M. Yela González, and C. Zehner, Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks, Atmospheric Measurement Techniques, 14, 481–510, https://doi.org/10.5194/amt-14-481-2021
Tags: UVVis, Satellite, NO2

2021, Hubert, D., K.-P. Heue, J-C. Lambert, T. Verhoelst, M. Allaart, S. Compernolle, P. D. Cullis, A. Dehn, C. Félix, B. J. Johnson, A. Keppens, D. E. Kollonige, C. Lerot, D. Loyola, M. Mohamad, F. R. daSilva, A. Piters, H. Selkirk, A. M. Thompson, J. P. Veefkind, H. Vömel, J. C. Witte, C. Zehner, TROPOMI tropospheric ozone column data: Geophysical assessment and comparison to ozonesondes, GOME-2B and OMI, Atmospheric Measurement Techniques, 14, 7405–7433, https://doi.org/10.5194/amt-14-7405-2021
Tags: Ozone, Satellite, Sonde, Validation

2021, Yu, P., Sean M. Davis, Owen B. Toon, Robert W. Portmann, Charles G. Bardeen, John E. Barnes, Hagen Telg, Christopher Maloney and Karen H. Rosenlof, Persistent Stratospheric Warming Due to 2019–2020 Australian Wildfire Smoke, Geophysical Research Letters, 48, 7, https://doi.org/10.1029/2021GL092609
Tags: Lidar, Fire, Temperature

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, Lamy, K., Portafaix, T., Brogniez, C., Lakkala, K., Pitkänen, M. R. A., Arola, A., Forestier, J.-B., Amelie, V., Toihir, M. A. & Rakotoniaina, S., UV-Indien network: ground-based measurements dedicated to the monitoring of UV radiation over the western Indian Ocean, Earth System Science Data, 13(9), 4275-4301, https://doi.org/10.5194/essd-13-4275-2021
Tags: Erythemal UV, Spectral UV

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, Snels, M., Francesco Colao, Francesco Cairo, Ilir Shuli, Andrea Scoccione, Mauro De Muro, Michael Pitts, Lamont Poole, Luca Di Liberto, Quasi-coincident observations of polar stratospheric clouds by ground-based lidar and CALIOP at Concordia (Dome C) from 2014 to 2018, Atmospheric Chemistry and Physics, 21, 2165-2178
Tags: Lidar, PSC, Satellite

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, Klanner, L., K. Höveler, D. Khordakova, M. Perfahl, C. Rolf, T. Trickl, H. Vogelmann, A powerful lidar system capable of one-hour measurements of water vapour in the troposphere and the lower stratosphere as well as the temperature in the upper stratosphere and mesosphere, Atmospheric Measurement Techniques, 14, 531–555, https://doi.org/10.5194/amt-14-531-2021
Tags: Lidar, Temperature, H2O

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