Publications

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

2021, Martucci, G., Navas-Guzmán, F., Renaud, L., Romanens, G., Gamage, S. M., Hervo, M., Jeannet, P., and Haefele, A., Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne, Atmospheric Measurement Techniques, 14, 1333–1353, https://doi.org/10.5194/amt-14-1333-2021
Tags: Lidar, Temperature

2021, Rivera Cárdenas, C., Guarín, C., Stremme, W., Friedrich, M. M., Bezanilla, A., Rivera Ramos, D., Mendoza-Rodríguez, C. A., Grutter, M., Blumenstock, T., Hase, F., Formaldehyde total column densities over Mexico City: comparison between multi-axis differential optical absorption spectroscopy and solar-absorption Fourier transform infrared measurements, Atmospheric Measurement Techniques, 14, 595–613, https://doi.org/10.5194/amt-14-595-2021
Tags: CH2O, FTIR

2021, De Smedt, I., Pinardi, G., Vigouroux, C., Compernolle, S., Bais, A., Benavent, N., Boersma, F., Chan, K.-L., Donner, S., Eichmann, K.-U., Hedelt, P., Hendrick, F., Irie, H., Kumar, V., Lambert, J.-C., Langerock, B., Lerot, C., Liu, C., Loyola, D., Piters, A., Richter, A., Rivera Cárdenas, C., Romahn, F., Ryan, R. G., Sinha, V., Theys, N., Vlietinck, J., Wagner, T., Wang, T., Yu, H., and Van Roozendael, M, Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements, Atmospheric Chemistry and Physics, 21, 12561–12593, https://doi.org/10.5194/acp-21-12561-2021
Tags: CH2O, Satellite, UVVis

2021, Stanevich, I., D.B.A. Jones, K. Strong, M. Keller, D.K. Henze, R.J. Parker, H. Boesch, D. Wunch, J. Notholt, C. Petri, T. Warneke, R. Sussmann, M. Schneider, F. Hase, R. Kivi, N.M. Deutscher, V.A. Velazco, K.A. Walker, and F. Deng, Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation, Atmospheric Chemistry and Physics, 21, 9545–9572, https://doi.org/10.5194/acp-21-9545-2021
Tags: FTIR, Satellite, CH4, XCH4

2021, Sha, M., B. Langerock, J.-F. L. Blavier, T. Blumenstock, T. Borsdorff, M. Buschmann, A. Dehn, M. De Mazière, N. M. Deutscher, D. G. Feist, O. E. García, D. W. T. Griffith, M. Grutter, J. W. Hannigan, F. Hase, P. Heikkinen, C. Hermans, L. T. Iraci, P. Jeseck, N. Jones, R. Kivi, N. Kumps, J. Landgraf, A. Lorente, E. Mahieu, M. V. Makarova, J. Mellqvist, J.-M. Metzger, I. Morino, T. Nagahama, J. Notholt, H. Ohyama, I. Ortega, M. Palm, C. Petri, D. F. Pollard, M. Rettinger, J. Robinson, S. Roche, C. M. Roehl, A. N. Röhling, C. Rousogenous, M. Schneider, K. Shiomi, D. Smale, W. Stremme, K. Strong, R. Sussmann, Y. Té, O. Uchino, V. A. Velazco, C. Vigouroux, M. Vrekoussis, P. Wang, T. Warneke, T. Wizenberg, D. Wunch, S. Yamanouchi, Y. Yang, and M. Zhou, Validation of methane and carbon monoxide from Sentinel-5 Precursor using TCCON and NDACC-IRWG stations, Atmospheric Measurement Techniques, 14, 6249–6304, https://doi.org/10.5194/amt-14-6249-2021
Tags: CalVal, CH4, CO, FTIR

2021, Keckhut, P., Hauchecorne A., Meftah M., Khaykin S., Claud C., Simoneau P., Middle-Atmosphere Temperature Monitoring Addressed with a Constellation of CubeSats dedicated to Climate issues, Journal of Atmospheric and Oceanic Technology, 38(3), 685–693, https://doi.org/10.1175/JTECH-D-20-0046.1
Tags: Lidar, Satellite, Temperature

2021, Zhang, Y., et al., Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations, Atmospheric Chemistry and Physics, 21, https://doi.org/10.5194/acp-21-3643-2021
Tags: CH4, FTIR, Satellite

2021, Marlton, G., et al., Using a network of temperature lidars to identify temperature biases in the upper stratosphere in ECMWF reanalyses, Atmospheric Chemistry and Physics, 21(8), 6079–6092, https://doi.org/10.5194/acp-21-6079-2021
Tags: Lidar, Model, Temperature