Publications

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, 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, Farhani, G., Martucci, G., Roberts, T., Haefele, A., Sica, R.J., A Bayesian neural network approach for tropospheric temperature retrievals from a lidar instrument, International Journal of Remote Sensing, 44:5, 1611-1627, http://doi.org/10.1080/01431161.2023.2187723
Tags: Algorithm, Lidar, Temperature

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

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, Trieu, T.T.N., I. Morino, O. Uchino, Y. Tsutsumi, T. Sakai, T. Nagai, A. Yamazaki, H. Okumura, K. Arai, K. Shiomi, D.F. Pollard, B. Liley , Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data, International Journal of Remote Sensing, 43:5, 1770-1799, https://doi.org/10.1080/01431161.2022.2038395
Tags: Aerosol, Clouds, FTIR, Lidar, Satellite, UVVis, XCH4, XCO2

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

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

2020, Polyakov, A., Y. Virolainen, A. Poberovskiy, M. Makarova and Y. Timofeyev, Atmospheric HCFC-22 total columns near St. Petersburg: stabilization with start of a decrease, International Journal of Remote Sensing, 41(11), 4365-4371, https://doi.org/10.1080/01431161.2020.1717668
Tags: FTIR, HCFC-22, Trends