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, 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
2022, Butz, A., Hanft V., Kleinschek R., Frey M. M., Müller A., Knapp M., Morino I., Agusti-Panareda A., Hase F., Landgraf J., Vardag S., Tanimoto H., Versatile and Targeted Validation of Space-Borne XCO2, XCH4 and XCO Observations by Mobile Ground-Based Direct-Sun Spectrometers, Frontiers in Remote Sensing, 2, 53, https://doi.org/10.3389/frsen.2021.775805
Tags: FTIR, Validation, XCH4, XCO, XCO2
2021, Yamanouchi, S., K. Strong, O. Colebatch, S. Conway, D.B.A. Jones, E. Lutsch, and S. Roche, Atmospheric trace gas trends obtained from FTIR column measurements in Toronto, Canada from 2002–2019, Environmental Research Communications, 3, 051002, https://iopscience.iop.org/article/10.1088/2515-7620/abfa65
Tags: FTIR
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