Publications

2022, Tencé, F. , Jumelet, J., Bekki, S., Khaykin, S., Sarkissian, A., & Keckhut, P., Australian Black Summer Smoke Observed by Lidar at the French Antarctic Station Dumont d’Urville, Journal of Geophysical Research: Atmospheres, 127, e2021JD035349, https://doi. org/10.1029/2021JD035349
Tags: Aerosol, Fire, Lidar, Sonde

2022, Di Paolantonio, M., Dionisi, D., and Liberti, G. L., A semi-automated procedure for the emitter–receiver geometry characterization of motor-controlled lidars, Atmospheric Measurement Techniques, 15, 1217–1231, https://doi.org/10.5194/amt-15-1217-2022
Tags: Lidar

2022, Knowland, K.E., C. A. Keller, P. A. Wales, K. Wargan, L. Coy, M. S. Johnson, J. Liu, R. A. Lucchesi, S. D. Eastham, E. Fleming, Q. Liang, T. Leblanc, N. J. Livesey, K. A. Walker, L. E. Ott, S. Pawson, NASA GEOS Composition Forecast Modeling System GEOS-CF v1.0: Stratospheric Composition, Journal of Advances in Modeling Earth Systems, 14(6), e2021MS002852, https://doi.org/10.1029/2021MS002852
Tags: Aerosol, Lidar, Model

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

2022, Mariaccia, A., Keckhut P., Hauchecorne A. , Classification of Stratosphere Winter Evolutions Into Four Different Scenarios in the Northern Hemisphere, Journal of Geophysical Research: Atmospheres, 127 (13), pp.e2022JD036662, https://doi.org/10.1029/2022jd036662
Tags: Lidar, Temperature

2022, Steinbrecht, W. , Leblanc, T, Lidars in the Network for Detection of Atmospheric Composition Change (NDACC) and the Tropospheric Ozone Lidar Network (TOLNet), Handbook of Air Quality and Climate Change, pp. 1-24, Ed. Springer Nature, https://doi.org/10.1007/978-981-15-2527-8_55-1
Tags: Lidar, Ozone

2022, Summa, D., F. Madonna, N. Franco, B. De Rosa, and P. Di Girolamo , Inter-comparison of atmospheric boundary layer (ABL) height estimates from different profiling sensors and models in the framework of HyMeX-SOP1, Atmospheric Measurement Techniques, 15, 4153–4170, https://doi.org/10.5194/amt-15-4153-2022
Tags: Lidar, Model

2022, Khaykin, S.A., A. Podglajen, F. Ploeger, J. Grooß, F. Tence, S. Bekki, K. Khlopenkov, K. Bedka, L. Rieger, A. Baron, S. Beekmann, B. Legras, P. Sellitto, T. Sakai, J. Barnes, O. Uchino, I. Morino, T. Nagai, R. Wing, G. Baumgarten, M. Gerding, V. Duflot, G. Payen, J. Jumelet, R. Querel, B., A. Bourassa, B. Clouser, A. Feofilov, A. Hauchecorne, and F. Ravetta , Global perturbation of stratospheric water and aerosol burden by Hunga eruption, Communications Earth Environment, 3, 316, https://doi.org/10.1038/s43247-022-00652-x
Tags: Aerosol, H2O, Lidar, Volcano

2022, Flamant, C., P. Chazette, O. Caumont, P. Di Girolamo, A. Behrendt, M. Sicard, J. Totems, D. Lange, N. Fourrié, P. Brousseau, C. Augros, A. Baron, M. Cacciani, A. Comerón, B. De Rosa, V. Ducrocq, P. Genau, L. Labatut, C. Muñoz-Porcar, A. Rodríguez-Gómez, D. Summa, R. Thundathil, and V. Wulfmeyer , A network of water vapor Raman lidars for improving heavy precipitation forecasting in southern France: introducing the WaLiNeAs initiative, Bulletin of Atmospheric Science and Technology, 2, 10 , https://doi.org/10.1007/s42865-021-00037-6
Tags: H2O, Lidar