Publications

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, Noël, S., M. Reuter, M. Buchwitz, J. Borchardt, M. Hilker, O. Schneising, H. Bovensmann, J.P. Burrows, A. Di Noia, R.J. Parker, H. Suto, Y. Yoshida, M. Buschmann, N.M. Deutscher, D.G. Feist, D.W.T. Griffith, F. Hase, R. Kivi, C. Liu, I. Morino, J. Notholt, Y.-S. Oh, H. Ohyama, C. Petri, D.F. Pollard, M. Rettinger, C. Roehl, C. Rousogenous, M.K. Sha, K. Shiomi, K. Strong, R. Sussmann, Y. Té, V.A. Velazco, M. Vrekoussis, and T. Warneke, Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm, Atmospheric Measurement Techniques, 15, 3401-3437, https://doi.org/10.5194/amt-15-3401-2022
Tags: Algorithm, FTIR, Satellite

2022, Mariaccia, A., Keckhut P., Hauchecorne A., Claud C., Le Pichon A., Meftah M., Khaykin S., Assessment of ERA-5 Temperature Variability in the MiddleAtmosphere Using Rayleigh LiDAR Measurements between 2005 and 2020, Atmosphere, 13 (2), 242, http://doi.org/10.3390/atmos13020242
Tags: Lidar, Model, Temperature

2022, Pinardi, G., Van Roozendael, M., Hendrick, F., Richter, A., Valks, P., Alwarda, R., Bognar, K., Frieß, U., Granville, J., Gu, M., Johnston, P., Prados-Roman, C., Querel, R., Strong, K., Wagner, T., Wittrock, F., and Yela Gonzalez, M., Ground-based validation of the MetOp-A and MetOp-B GOME-2 OClO measurements, Atmospheric Measurement Techniques, 15, 3439–3463, https://doi.org/10.5194/amt-15-3439-2022
Tags: OClO, Satellite, UVVis, Validation

2022, Schneider, M., Ertl, B., Diekmann, C. J., Khosrawi, F., Weber, A., Hase, F., Höpfner, M., García, O. E., Sepúlveda, E., and Kinnison, D., Design and description of the MUSICA IASI full retrieval product, Earth System Science Data, 14, 709–742, https://doi.org/10.5194/essd-14-709-2022
Tags: FTIR, Satellite

2022, Vandenbussche, S., B. Langerock, C. Vigouroux, M. Buschmann, N. M. Deutscher, D. G. Feist, O. García, J. W. Hannigan, F. Hase, R. Kivi, N. Kumps, M. Makarova, D. B. Millet, I. Morino, T. Nagahama, J. Notholt, H. Ohyama, I. Ortega, C. Petri, M. Rettinger, M. Schneider, C. P. Servais, M. K. Sha, K. Shiomi, D. Smale, K. Strong, R. Sussmann, Y. Té, V. A. Velazco, M. Vrekoussis, T. Warneke, K. C. Wells, D. Wunch, M. Zhou, and M. De Mazière, Nitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment, Remote Sensing, 14(8), https://doi.org/10.3390/rs14081810
Tags: Algorithm, FTIR, N2O, Satellite

2022, Karagkiozidis, D., Friedrich, M. M., Beirle, S., Bais, A., Hendrick, F., Voudouri, K. A., Fountoulakis, I., Karanikolas, A., Tzoumaka, P., Van Roozendael, M., Balis, D., and Wagner, T., Retrieval of tropospheric aerosol, NO2, and HCHO vertical profiles from MAX-DOAS observations over Thessaloniki, Greece: intercomparison and validation of two inversion algorithms, Atmospheric Measurement Techniques, 15, 1269–1301, https://doi.org/10.5194/amt-15-1269-2022
Tags: Aerosol, Algorithm, CalVal, HCHO, NO2, UVVis

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, Weber, M., Arosio, C., Coldewey-Egbers, M., Fioletov, V. E., Frith, S. M., Wild, J. D., Tourpali, K., Burrows, J. P., and Loyola, D., Global total ozone recovery trends attributed to ozone-depleting substance (ODS) changes derived from five merged ozone datasets, Atmospheric Chemistry and Physics, 22, 6843–6859, https://doi.org/10.5194/acp-22-6843-2022
Tags: Ozone, Satellite, Trends

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