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, Pardo Cantos, I., E. Mahieu, M. P. Chipperfield, D. Smale, J. W. Hannigan, M. Friedrich, P. Fraser, P.Krummel, M. Prignon, J. Makkor, C. Servaisj and J. Robinson, Determination and analysis of time series of CFC-11 (CCl3F) from FTIR solar spectra, in situ observations, and model data in the past 20 years above Jungfraujoch (46°N), Lauder (45°S), and Cape Grim (40°S) stations, Environmental Sciences, 2, 1487-1501, https://doi.org/10.1039/D2EA00060A
Tags: CFC, FTIR, Model
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
2011, Gruzdev, A.N., Elokhov A.S., Variability of stratospheric and tropospheric nitrogen dioxide observed by visible spectrophotometer at Zvenigorod, Russia, International Journal of Remote Sensing, 32, (11), 3115-3127
Tags: NO2, UVVis
2010, Gruzdev, A., Elokhov A.S., Validation of Ozone Monitoring Instrument NO2 measurements using ground based NO2 measurements at Zvenigorod, Russia, International Journal of Remote Sensing, 31(2), 497-511
Tags: CalVal, NO2, Ozone, UVVis
2009, Steinbrecht, W., H. Claude, F. Schonenborn, I.S. McDermid, T. Leblanc, S. Godin-Beekmann, P. Keckhut, A. Hauchecorne, J.A.E. Van Gijsel, D.P.J. Swart, G. Bodeker, A. Parrish, I. Boyd, N. Kampfer, C. Hocke, R.S. Stolarski, S.M. Frith, L.W. Thomason, E.E. Remsberg, C. Von Savigny, A. Rozanov, and J.P. Burrows, Ozone And Temperature Trends In The Upper Stratosphere At Five Stations Of The Network For The Dectection Of Atmospheric Composition Change, International Journal of Remote Sensing, 30, 3875-3886
Tags: Lidar, Ozone, Temperature, Trends