Publications
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, Perrin, A., L. Manceron, R. Armante, F. Kwabia-Tchana, P. Roy, D. Doizi & G.C. Toon, The 5.8 µm absorption bands for nitric acid (H14N16O3): line positions and intensities for the ν2 band at 1709.567 cm−1 and for its first associated hot bands (ν2+ν9−ν9, ν2+ν7−ν7, ν2+ν6−ν6), Molecular Physics, 120:15-16, https://doi.org/10.1080/00268976.2021.1998931
Tags: FTIR, Nitric Acid
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
2020, Virolainen, Y.A., A.V. Polyakov, and O.Kirner, Optimization of Procedure for Determining Chlorine Nitrate in the Atmosphere from Ground-Based Spectroscopic Measurements, Journal of Applied Spectroscopy, 87, 319–325, https://doi.org/10.1007/s10812-020-01002-5
Tags: ClONO2, FTIR
2020, Sterckx, S., Ian Brown, Andreas Kääb, Maarten Krol, Rosemary Morrow, Pepijn Veefkind, K. Folkert Boersma, Martine De Mazière, Nigel Fox & Peter Thorne, Towards a European Cal/Val service for earth observation, International Journal of Remote Sensing, 41:12, 4496-4511, https://doi.org/10.1080/01431161.2020.1718240
Tags: FTIR, Validation
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
2019, Polyakov, A.V., Ya.A. Virolainen, M.V. Makarova, Technique for Inverting Transmission Spectra to Measure Freon Concentration, Journal of Applied Spectroscopy, 85, 6, 1085–1093, https://doi.org/10.1007/S10812-019-00763-y
Tags: Freon, FTIR
2019, Gruzdev, A.N., Accounting for long-term serial correlation in a linear regression problem, IOP Conference Series: Earth and Environmental Science, 231, 012020, pp. 1–10, https://doi.org/10.1088/1755-1315/231/1/012020
Tags: NO2, UVVis