Publications

2023, Virolainen, Y.A., Ionov, D.V. & Polyakov, A.V., Analysis of Long-Term Measurements of Tropospheric Ozone at the St. Petersburg State University Observational Site in Peterhof, Izvestiya, Atmospheric and Oceanic Physics, 59, 287–295, https://doi.org/10.1134/S000143382303009X
Tags: FTIR, Ozone

2023, Virolainen, Y.A., Timofeyev, Y.M., Polyakov, A.V. et al., Ground-Based FTIR Measurements of Atmospheric Nitric Acid at the NDACC, Izvestiya, Atmospheric and Oceanic Physics, 59, 167–173, https://doi.org/10.1134/S000143382302007X
Tags: FTIR, HNO3, Nitric Acid

2023, Poraicu, C., Müller, J.-F., Stavrakou, T., Fonteyn, D., Tack, F., Deutsch, F., Laffineur, Q., Van Malderen, R., and Veldeman, N., Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium, Geoscientific Model Development, 16, 479–508, https://doi.org/10.5194/gmd-16-479-2023
Tags: NO2, Satellite, Sonde

2022, Di Girolamo, P., F. Pini, G. Piras, The effect of COVID-19 on the distribution of PM10 pollution classes of vehicles: Comparison between 2020 and 2018, Science of the Total Environment, 811, 152036
Tags: Aerosol, Lidar

2022, Wang, W. , Liu, C., Clarisse, L., Van Damme., M., Coheur, P.-F., Xie, Y., Shan, C., Hu, Q., Sun, Y., and Jones, N., Ground-based measurements of atmospheric NH3 by Fourier transform infrared spectrometry at Hefei and comparisons with IASI data, Science of the Total Environment, 287, 119256, https://doi.org/10.1016/j.atmosenv.2022.119256
Tags: FTIR, NH3, Satellite

2022, Shan, C., Wang, W., Xie, Y., Wu, P., Xu, J., Zeng, X., Zha, L., Zhu, Q., Sun, Y., Hu, Q., Liu, C., and Jones, N., Observations of atmospheric CO2 and CO based on in-situ and ground-based remote sensing measurements at Hefei site, Science of the Total Environment, 851, 158188, https://doi.org/10.1016/j.scitotenv.2022.158188
Tags: CO, CO2, FTIR

2021, Pini, F., Piras, G., Astiaso Garcia, D., and Di Girolamo, P., Impact of the different vehicle fleets on PM10 pollution: Comparison between the ten most populous Italian metropolitan cities for the year 2018, Science of the Total Environment, 773, 145524, https://doi.org/10.1016/j.scitotenv.2021.145524
Tags: Aerosol, Lidar

2021, Gruzdev, A.N., Elokhov A.S. , Changes in the column content and vertical distribution of NO2 according to the results of 30-year measurements at the Zvenigorod Scientific Station of the A. M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Izvestiya, Atmospheric and Oceanic Physics, 57 (1), 91–103, https://doi.org/10.31857/S0002351521010089
Tags: UVVis, NO2

2020, Becagli, S., Caiazzo L., Di Iorio Tatiana, Di Sarra Alcide, Meloni Daniela, Muscari G., Pace G., Severi M., and Traversi R., New insights on metals in the Arctic aerosol in a climate changing world, Science of the Total Environment, 741, https://doi.org/10.1016/j.scitotenv.2020.140511
Tags: Aerosol, Arctic, Lidar

2020, Stanevich, I., Jones, D. B. A., Strong, K., Parker, R. J., Boesch, H., Wunch, D., Notholt, J., Petri, C., Warneke, T., Sussmann, R., Schneider, M., Hase, F., Kivi, R., Deutscher, N. M., Velazco, V. A., Walker, K. A., and Deng, F, Characterizing model errors in chemical transport modeling of methane: impact of model resolution in versions v9-02 of GEOS-Chem and v35j of its adjoint model, Geoscientific Model Development, 13, 3829–3862, https://doi.org/10.5194/gmd-13-3839-2020
Tags: FTIR, Model, CH4