Publications
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
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, Di Girolamo, P., De Rosa, B., Summa, D., Franco, N., & Veselovskii, I. , Measurements of aerosol size and microphysical properties: A comparison between Raman lidar and airborne sensors, Journal of Geophysical Research: Atmospheres, 127, e2021JD036086, https://doi.org/10.1029/2021JD036086
Tags: Aerosol, CalVal, Lidar
2022, Whiteman, D.N., Di Girolamo P., Behrendt A., Wulfmeyer V. and Franco N., Statistical Analysis of Simulated Spaceborne Thermodynamics Lidar Measurements in the Planetary Boundary Layer, Frontiers in Earth Science, 3:810032, https://doi.org/10.3389/frsen.2022.810032
Tags: Lidar, Temperature
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, Ardalan, M., Keckhut P., Hauchecorne A., Wing R., Meftah M., Farhani G., Updated Climatology of Mesospheric Temperature Inversions Detected by Rayleigh Lidar above Observatoire de Haute Provence, France, Using a K-Mean Clustering Technique, Atmosphere, 13 (5), pp.814, https://doi.org/10.3390/atmos13050814
Tags: Lidar, Temperature
2022, Le Du, T., Keckhut P., Hauchecorne A., Simoneau P., Observation of Gravity Wave Vertical Propagation through a Mesospheric Inversion Layer, Atmosphere, 13 (7), pp.1003, https://doi.org/10.3390/atmos13071003
Tags: Lidar, Temperature
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, Chang, K., Cooper O., Gaudel A., Allaart M., Ancellet G., Clark H., Godin-Beekmann S., Leblanc T., van Malderen R., Nédélec P., Petropavlovskikh I. et al., Impact of the COVID‐19 Economic Downturn on Tropospheric Ozone Trends: An Uncertainty Weighted Data Synthesis for Quantifying Regional Anomalies Above Western North America and Europe, AGU Advances, 3 (2), pp.e2021AV000542, https://dx.doi.org/10.1029/2021av000542
Tags: COVID, Lidar, Ozone, Trends
2022, Ancellet, G., Godin-Beekmann S., Smit H., Stauffer R., van Malderen R., Bodichon R., Pazmino A., Homogenization of the Observatoire de Haute Provence electrochemical concentration cell (ECC) ozonesonde data record: comparison with lidar and satellite observations, Atmospheric Measurement Techniques, 15 (10), pp.3105-3120, https://doi.org/10.5194/amt-15-3105-2022
Tags: Lidar, Ozone, Satellite, Sonde
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, Mettig, N., Weber, M., Rozanov, A., Burrows, J. P., Veefkind, P., Thompson, A. M., ... & Skrivankova, P., Combined UV and IR ozone profile retrieval from TROPOMI and CrIS measurements, Atmospheric Measurement Techniques, 15(9), 2955-2978, https://doi.org/10.5194/amt-15-2955-2022
Tags: Lidar, Ozone, Satellite
2022, Lei, L., Berkoff, T. A., Gronoff, G., Su, J., Nehrir, A. R., Wu, Y., ... & Kuang, S, Retrieval of UVB aerosol extinction profiles from the ground-based Langley Mobile Ozone Lidar (LMOL) system, Atmospheric Measurement Techniques, 5(8), 2465-2478
Tags: Aerosol, Lidar, Ozone, UVB
2022, Sullivan, J., A. Apituley, N. Mettig, K. Kreher, K.E. Knowland, M. Allart, A. Piters et al., Tropospheric and Stratospheric Ozone Profiles during the 2019 TROpomi vaLIdation eXperiment (TROLIX-19), Atmospheric Chemistry and Physics, 22, 11137–11153, https://doi.org/10.5194/acp-22-11137-2022
Tags: Lidar, Ozone, Satellite, Validation
2022, Yang, Z., B. Demoz, R. Delgado, A. Tangborn, P. Lee, and J.T. Sullivan, The Dynamical Role of the Chesapeake Bay on the Local Ozone Pollution Using Mesoscale Modeling—A Case Study, Atmosphere, 13(5), 641
Tags: Lidar, Model, Ozone
2022, Kotsakis, A., John T. Sullivan, Thomas F. Hanisco, Robert J. Swap, Vanessa Caicedo, Timothy A. Berkoff, Guillaume Gronoff et al., Sensitivity of total column NO2 at a marine site within the Chesapeake Bay during OWLETS-2, Atmospheric Environment, 277, 119063
Tags: Lidar, NO2
2022, Strahan, S.E., D. Smale, S. Solomon, G. Taha, M. R. Damon, S. D. Steenrod, N. Jones, B. Liley, R. Querel and J. Robinson, Unexpected Repartitioning of Stratospheric Inorganic Chlorine After the 2020 Australian Wildfires, Geophysical Research Letters, 49(14): e2022GL098290
Tags: Cl, Fire, Model
2022, Wells, K.C., Millet, D. B., Payne, V. H., Vigouroux, C., Aquino, C. A. B., De Mazière, M., de Gouw, J. A., Graus, M., Kurosu, T., Warneke, C., and Wisthaler, A., Next-generation Isoprene Measurements from Space: Detecting Daily Variability at High Resolution, Journal of Geophysical Research: Atmospheres, 127, e2021JD036181, https://doi.org/10.1029/2021JD036181
Tags: C5H8, FTIR, Isoprene, Satellite
2022, Gordon, I.E., L.S. Rothman, et al., The HITRAN2020 molecular spectroscopic database, Journal of Quantitative Spectroscopy and Radiative Transfer, 277, 107949, https://doi.org/10.1016/j.jqsrt.2021.107949
Tags: Database, FTIR
2022, Perrin, A., L. Manceron, R. Armante, F. Kwabia-Tchana, P. Roy, D. Doizi & G.C. Toon, The 5.8 µm absorption bands for nitric acid (H14N16O3): line positions and intensities for the ν2 band at 1709.567 cm−1 and for its first associated hot bands (ν2+ν9−ν9, ν2+ν7−ν7, ν2+ν6−ν6), Molecular Physics, 120:15-16, https://doi.org/10.1080/00268976.2021.1998931
Tags: FTIR, Nitric Acid
2022, Klekociuk, A.R., Tully, M. B., Krummel, P. B., Henderson, S. I., Smale, D., Querel, R., Nichol, S., Alexander, S. P., Fraser, P. J., & Nedoluha, G, The Antarctic ozone hole during 2020, Journal of Southern Hemisphere Earth Systems Science, 72(1), 19-37
Tags: Ozone
2022, Malina, E., Veihelmann, B., Buschmann, M., Deutscher, N. M., Feist, D. G., and Morino, I., On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases, Atmospheric Measurement Techniques, 15, 2377–2406, https://doi.org/10.5194/amt-15-2377-2022
Tags: CH4, FTIR
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, 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, Callewaert, S., Brioude, J., Langerock, B., Duflot, V., Fonteyn, D., Müller, J.-F., Metzger, J.-M., Hermans, C., Kumps, N., Ramonet, M., Lopez, M., Mahieu, E. and De Mazière, M, Analysis of CO2, CH4, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations, Atmospheric Chemistry and Physics, 22(11), 7763–7792, https://doi.org/10.5194/acp-22-7763-2022
Tags: CH4, CO, CO2, FTIR