Publications

2023, Yang, Z., D. Li, J. Luo, W. Tian, Z. Bai, Q. Li, J. Zhang, H. Wang, X. Zheng, H. Vömel, F.G. Weinhold, T. Peter, D. Hurst and J. Bian, Determination of cirrus occurrence and distribution characteristics over the Tibetan Plateau based on the SWOP campaign, Journal of Geophysical Research: Atmospheres, 128, https://doi.org/10.1029/2022JD037682
Tags: Clouds, H2O, Sonde

2023, Cairo, F., Deshler, T., Di Liberto, L., Scoccione, A., Snels, M., A study of optical scattering modelling for mixed-phase polar stratospheric clouds, Atmospheric Measurement Techniques, 16, 419–43, https://doi.org/10.5194/amt-16-419-2023
Tags: Clouds, Lidar

2023, Zilker, B., Richter, A., Blechschmidt, A.-M., von der Gathen, P., Bougoudis, I., Seo, S., Bösch, T., and Burrows, J. P., Investigation of meteorological conditions and BrO during Ozone Depletion Events in Ny-Ålesund between 2010 and 2021, Atmospheric Chemistry and Physics, 23, 9787–9814, https://doi.org/10.5194/acp-23-9787-2023
Tags: BrO, Ozone, Polar, UVVis

2023, Friess, U., et al., Source mechanisms and transport patterns of tropospheric bromine monoxide: findings from long-term multi-axis differential optical absorption spectroscopy measurements at two Antarctic stations, Atmospheric Chemistry and Physics, 23, (5), 3207–3232, https://doi.org/10.5194/acp-23-3207-2023.
Tags: BrO, Polar, UVVis

2022, Lauster, B., Dörner, S., Enell, C.-F., Frieß, U., Gu, M., Puķīte, J., Raffalski, U., and Wagner, T., Occurrence of polar stratospheric clouds as derived from ground-based zenith DOAS observations using the colour index, Atmospheric Chemistry and Physics, 22, 15925–15942, https://doi.org/10.5194/acp-22-15925-2022
Tags: Clouds, Polar, UVVis

2022, Eleftheratos, K., Kapsomenakis, J., Fountoulakis, I., Zerefos, C. S., Jöckel, P., Dameris, M., ... Liley, B. …& Douvis, K., Ozone, DNA-active UV radiation, and cloud changes for the near-global mean and at high latitudes due to enhanced greenhouse gas concentrations, Atmospheric Chemistry and Physics, 22(19), 12827-12855
Tags: Clouds, Ozone, Spectral UV

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, Taylor, T.E., C.W. O'Dell, D. Crisp, A. Kuze, H. Lindqvist, P.O. Wennberg, A. Chatterjee, M. Gunson, A. Eldering, B. Fisher, M. Kiel, R.R. Nelson, A. Merrelli, G. Osterman, F. Chevallier, P.I. Palmer, L. Feng, N.M. Deutscher, M.K. Dubey, D.G. Feist, O.E. Garcia, D. Grifith, F. Hase, L. Iraci, R. Kivi, C. Liu, M. De Mazière, I. Morino, J. Notholt, Y.-S. Oh, H. Ohyama, D.F. Pollard, M. Rettinger, C.M. Roehl, M. Schneider, M.K. Sha, K. Shiomi, K. Strong, R.Sussmann, Y. Té, V.A. Velazco, M. Vrekoussis, T. Warneke, and D. Wunch, An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm, Earth System Science Data, 14, 325-360, https://doi.org/10.5194/essd-14-325-2022
Tags: Algorithm, FTIR, Satellite, 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

2021, Di Natale, G., Barucci, M., Belotti, C., Bianchini, G., D'Amato, F., Del Bianco, S., Gai, M., Montori, A., Sussmann, R., Viciani, S., Vogelmann, H., and Palchetti, L., Comparison of mid-latitude single- and mixed-phase cloud optical depth from co-located infrared spectrometer and backscatter lidar measurements, Atmospheric Measurement Techniques, 14, 6749–6758, https://doi.org/10.5194/amt-14-6749-2021
Tags: Clouds, FTIR, Lidar