Publications
2023, Bruno, A.G., Harrison, J. J., Chipperfield, M. P., Moore, D. P., Pope, R. J., Wilson, C., Mahieu, E. and Notholt, J., Atmospheric distribution of HCN from satellite observations and 3-D model simulations, Atmospheric Chemistry and Physics, 23(8), 4849–4861, https://doi.org/10.5194/acp-23-4849-2023
Tags: FTIR, Model, Satellite
2022, Eleftheratos, K., Kapsomenakis, J., Fountoulakis, I., Zerefos, C. S., Jöckel, P., Dameris, M., ... Liley, B. …& Douvis, K., Ozone, DNA-active UV radiation, and cloud changes for the near-global mean and at high latitudes due to enhanced greenhouse gas concentrations, Atmospheric Chemistry and Physics, 22(19), 12827-12855
Tags: Clouds, Ozone, Spectral UV
2022, Lauster, B., Dörner, S., Enell, C.-F., Frieß, U., Gu, M., Puķīte, J., Raffalski, U., and Wagner, T., Occurrence of polar stratospheric clouds as derived from ground-based zenith DOAS observations using the colour index, Atmospheric Chemistry and Physics, 22, 15925–15942, https://doi.org/10.5194/acp-22-15925-2022
Tags: Clouds, Polar, UVVis
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
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
2021, Svendby, T.M., Johnsen, B., Kylling, A., Dahlback, A., Bernhard, G. H., Hansen, G. H., Petkov, B., and Vitale, V, GUV long-term measurements of total ozone column and effective cloud transmittance at three Norwegian site, Atmospheric Chemistry and Physics, 21, 7881–7899, https://doi.org/10.5194/acp-21-7881-2021
Tags: Clouds, Ozone, UVVis
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
2020, Blechschmidt, A.-M., Arteta, J., Coman, A., Curier, L., Eskes, H., Foret, G., Gielen, C., Hendrick, F., Marécal, V., Meleux, F., Parmentier, J., Peters, E., Pinardi, G., Piters, A. J. M., Plu, M., Richter, A., Segers, A., Sofiev, M., Valdebenito, Á. M., Van Roozendael, M., Vira, J., Vlemmix, T., and Burrows, J. P., Comparison of tropospheric NO2 columns from MAX-DOAS retrievals and regional air quality model simulations, Atmospheric Chemistry and Physics, 20, 2795–2823, https://doi.org/10.5194/acp-20-2795-2020
Tags: Model, NO2, UVVis
2020, Yang, X., A.-M. Blechschmidt, K. Bognar, A. McClure–Begley, S. Morris, I. Petropavlovskikh, A. Richter, H. Skov, K. Strong, D. Tarasick, T. Uttal, M. Vestenius, X. Zhao , Pan-Arctic surface ozone: modelling vs measurements, Atmospheric Chemistry and Physics, 20, 15937–15967, https://doi.org/10.5194/acp-20-15937-2020
Tags: Sonde, Ozone, Arctic, Model
2020, Miganti, D., Chabrillat, S., Christophe, Y., Errera, Q., Abalos, M., Prignon, M., Kinnison, D. E. and Mahieu, E., Climatological impact of the Brewer–Dobson circulation on the N2O budget in WACCM, a chemical reanalysis and a CTM driven by four dynamical reanalyses, Atmospheric Chemistry and Physics, 20(21), 12609–12631, https://doi.org/10.5194/acp-20-12609-2020
Tags: FTIR, Model, N2O