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
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
2021, McKenzie, R., LIley, B., Yet another benefit from sunlight in the fight against COVID-19?, British Journal of Dermatology, 185 (2), 246–247, https://doi.org/10.1111/bjd.20516
Tags: Spectral UV
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
2018, Geddes, A., et al., Python-based dynamic scheduling assistant for atmospheric measurements by Bruker instruments using OPUS, Applied Optics, 57(4), 689-691
Tags: Algorithm, FTIR
2016, Sica, R.J., A. Haefele, Retrieval of water vapor mixing ratio from a multiple channel Raman-scatter lidar using an optimal estimation method, Applied Optics, 55, 763-777
Tags: H2O, Lidar
2015, Sica, R., Haefele, A., Retrieval of temperature from a multiple-channel Rayleigh-scatter lidar using an optimal estimation method, Applied Optics, 54, 1872–1889
Tags: Lidar, Temperature