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

2023, Summa, D., Vivone, G., Franco, N., D’Amico, G., De Rosa, B., Di Girolamo, P. , Atmospheric Boundary Layer Height: Inter-Comparison of Different Estimation Approaches Using the Raman Lidar as Benchmark, Remote Sensing, 15, 1381, https://doi.org/10.3390/rs15051381
Tags: Lidar

2023, Chane Ming, F., Hauchecorne A., Bellisario C., Simoneau P., Keckhut P., Trémoulu S., Listowski C., Berthet G., Jégou F., Khaykin S., Tidiga M. et al., Case Study of a Mesospheric Temperature Inversion over Maïdo Observatory through a Multi-Instrumental Observation, Remote Sensing, 15, 2045, http://doi.org/10.3390/rs15082045
Tags: Lidar, Temperature

2023, Ratynski, M., Khaykin, S., Hauchecorne, A., Wing, R., Cammas, J.-P., Hello, Y., Keckhut, P., Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at Réunion island and the Observatoire de Haute-Provence, Atmospheric Measurement Techniques, 16, 997–1016, https://doi.org/10.5194/amt-16-997-2023,
Tags: Lidar, Validation, Wind

2023, Speidel, J., Vogelmann, H., Correct(ed) Klett–Fernald algorithm for elastic aerosol backscatter retrievals: a sensitivity analysis, Applied Physics, 62 (4), 861–868, http://doi.org/10.1364/AO.465944
Tags: Aerosol, Algorithm, Lidar

2023, Cairo, F., Deshler, T., Di Liberto, L., Scoccione, A., Snels, M., A study of optical scattering modelling for mixed-phase polar stratospheric clouds, Atmospheric Measurement Techniques, 16, 419–43, https://doi.org/10.5194/amt-16-419-2023
Tags: Clouds, Lidar

2023, Mariaccia, A., Keckhut P., Hauchecorne A., Khaykin S., Ratynski M., Co‐Located Wind and Temperature Observations at Mid‐Latitudes During Mesospheric Inversion Layer Events, Geophysical Research Letters, 50 (9), pp.e2022GL102683, http://doi.org/10.1029/2022gl102683
Tags: Lidar, Temperature, Wind

2023, Ortega, I., B. Gaubert, J.W. Hannigan, G. Brasseur, H.M. Worden, T. Blumenstock, H. Fu, F. Hase, P. Jeseck, N. Jones, C. Liu, E. Mahieu, I. Morino, I. Murata, J. Notholt, M. Palm, A. Röhling, Y. Té, K. Strong, Y. Sun, S. Yamanouchi, Anomalies of O3, CO, C2H2, H2CO, and C2H6 detected with multiple ground-based Fourier-transform infrared spectrometers and assessed with model simulation in 2020: COVID-19 lockdowns versus natural variability, Elementa: Science of the Anthropocene, 11 (1): 00015, https://doi.org/10.1525/elementa.2023.00015
Tags: C2H2, C2H6, CO, COVID, FTIR, H2CO, Ozone

2023, Zhou, M., Langerock, B., Wang, P., Vigouroux, C., Ni, Q., Hermans, C., Dils, B., Kumps, N., Nan, W., and De Mazière, M., Understanding the variations and sources of CO, C2H2, C2H6, H2CO, and HCN columns based on 3 years of new ground-based Fourier transform infrared measurements at Xianghe, China, Atmospheric Measurement Techniques, 16, 273–293, https://doi.org/10.5194/amt-16-273-2023
Tags: C2H2, C2H6, CO, FTIR, H2CO, HCN

2023, Trickl, T., Couret, C., Ries, L., Vogelmann, H., Zugspitze ozone 1970–2020: the role of stratosphere–troposphere transport, Atmospheric Chemistry and Physics, 23, 8403–8427, https://doi.org/10.5194/acp-23-8403-2023
Tags: Lidar, Ozone