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

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

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

2007, Argall, P.S., Sica, R. J., Bryant, C. R., Algara-Siller, M. & Schijns, H., Calibration of the Purple Crow Lidar vibrational Raman water-vapour mixing ratio and temperature measurements, Canadian Journal of Physics, 85, 119-129
Tags: H2O, Lidar, Temperature