Publications

2022, Butz, A., Hanft V., Kleinschek R., Frey M. M., Müller A., Knapp M., Morino I., Agusti-Panareda A., Hase F., Landgraf J., Vardag S., Tanimoto H., Versatile and Targeted Validation of Space-Borne XCO2, XCH4 and XCO Observations by Mobile Ground-Based Direct-Sun Spectrometers, Frontiers in Remote Sensing, 2, 53, https://doi.org/10.3389/frsen.2021.775805
Tags: FTIR, Validation, XCH4, XCO, XCO2

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

2021, Smale, D., Strahan SE, Querel R, Frieß U, Nedoluha GE, Nichol SE, Robinson J, Boyd I, Kotkamp M, Gomez RM, Murphy M., Evolution of observed ozone, trace gases, and meteorological variables over Arrival Heights, Antarctica (77.8°S, 166.7°E) during the 2019 Antarctic stratospheric sudden warming, Tellus B: Chemical and Physical Meteorology, 73(1), 1–8, https://doi.org/10.1080/16000889.2021.1933783
Tags: FTIR, Ozone, SSW

2020, Di Girolamo, P., B. De Rosa, C. Flamant, D. Summa, O. Bousquet, P. Chazette, J. Totems, M. Cacciani, Water vapour mixing ratio and temperature inter-comparison results in framework of the Hydrological Cycle in the Mediterranean Experiment—Special Observation Period 1, Bulletin of Atmospheric Science and Technology, 1, 113–153, https://doi.org/10.1007/s42865-020-00008-3
Tags: H2O, Lidar, Temperature

2020, Di Girolamo, P., Assessment of the potential role of atmospheric particulate pollution and airborne transmission in intensifying the first wave pandemic impact of SARS-CoV-2/COVID-19 in Northern Italy, Bulletin of Atmospheric Science and Technology, 1, 515–550, https://doi.org/10.1007/s42865-020-00024-3
Tags: Lidar, Aerosol, Health

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

2016, Helmig, D., Rossabi, S., Hueber, J., Tans, P., Montzka, S. A., Masarie, K., Thoning, K., Plass-Duelmer, C., Claude, A., Carpenter, L. J., Lewis, A. C., Punjabi, S., Reimann, S., Vollmer, M. K., Steinbrecher, R., Hannigan, J. W., Emmons, L. K., Mahieu, E., Franco, B., Smale, D. and Pozzer, A., Reversal of global atmospheric ethane and propane trends largely due to US oil and natural gas production, Nature Geoscience, 9(7), 490-495, https://doi.org/10.1038/ngeo2721
Tags: C2H6, C3H8, FTIR

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

2013, Kuang, S., M. J. Newchurch, J. Burris, and X. Liu, Ground-based lidar for atmospheric boundary layer ozone measurements, Applied Optics, 52, 3557-3566
Tags: Lidar, Ozone