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, Di Girolamo, P., F. Pini, G. Piras, The effect of COVID-19 on the distribution of PM10 pollution classes of vehicles: Comparison between 2020 and 2018, Science of the Total Environment, 811, 152036
Tags: Aerosol, Lidar

2021, Pini, F., Piras, G., Astiaso Garcia, D., and Di Girolamo, P., Impact of the different vehicle fleets on PM10 pollution: Comparison between the ten most populous Italian metropolitan cities for the year 2018, Science of the Total Environment, 773, 145524, https://doi.org/10.1016/j.scitotenv.2021.145524
Tags: Aerosol, Lidar

2020, Becagli, S., Caiazzo L., Di Iorio Tatiana, Di Sarra Alcide, Meloni Daniela, Muscari G., Pace G., Severi M., and Traversi R., New insights on metals in the Arctic aerosol in a climate changing world, Science of the Total Environment, 741, https://doi.org/10.1016/j.scitotenv.2020.140511
Tags: Aerosol, Arctic, Lidar

2009, Snels, M., Cairo, F., Colao, F. and Di Donfrancesco, G., Calibration method for depolarization lidar measurements, International Journal of Remote Sensing, 30: 21, 5725 – 5736
Tags: Lidar

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, Iopaolo, M., S. Godin-Beekmann, F. Del Frate, S. Casadio, M. Petitdidier, I. S. McDermid and D. P. J. Swart, GOME Ozone Profiles Retrieved by Neural Network Techniques: A Global Validation with Lidar Measurements, Journal of Quantitative Spectroscopy and Radiative Transfer, 107, 105-119, https://doi.org/10.1016/j.jqsrt.2007.02.015
Tags: Lidar, Ozone, Satellite, Validation

2006, Hase, F., P. Demoulin, A. J. Sauval, G. C. Toon, P. Bernath, A. Goldman, J. W. Hannigan, C. Rinsland, An empirical line-by-line model for the infrared solar transmittance spectrum from 700 to 5000 cm-1, Journal of Quantitative Spectroscopy and Radiative Transfer, 102, 450-463
Tags: Lidar

2005, Del Frate, F., M. Iapaolo, S. Casadio, S. Godin-Beekmann, M. Petitdidier, Neural Network for the dimensionality reduction of GOME measurement vector in the estimation of ozone profiles, Journal of Quantitative Spectroscopy and Radiative Transfer, 92, 275-291
Tags: Lidar, Ozone, Satellite