Publications

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, Knowland, K.E., C. A. Keller, P. A. Wales, K. Wargan, L. Coy, M. S. Johnson, J. Liu, R. A. Lucchesi, S. D. Eastham, E. Fleming, Q. Liang, T. Leblanc, N. J. Livesey, K. A. Walker, L. E. Ott, S. Pawson, NASA GEOS Composition Forecast Modeling System GEOS-CF v1.0: Stratospheric Composition, Journal of Advances in Modeling Earth Systems, 14(6), e2021MS002852, https://doi.org/10.1029/2021MS002852
Tags: Aerosol, Lidar, Model

2022, Lutsch, E., D. Wunch, D. B. A. Jones, C. Clerbaux, J. W. Hannigan, T.-L. He, I. Ortega, S. Roche, K. Strong, and H. M. Worden, Can the data assimilation of CO from MOPITT or IASI constrain high-latitude wildfire emissions? A Case Study of the 2017 Canadian Wildfires, Earth and Space Science, p. 44, https://doi.org/10.1002/essoar.10510875.1
Tags: CO, Fire, Model, Satellite

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, 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

2021, Prignon, M., Chabrillat, S., Friedrich, M., Smale, D., Strahan, S. E., Bernath, P. F., Chipperfield, M. P., Dhomse, S. S., Feng, W., Minganti, D., Servais, C. and Mahieu, E., Stratospheric fluorine as a tracer of circulation changes: comparison between infrared remote‐sensing observations and simulations with five modern reanalyses, Journal of Geophysical Research: Atmospheres, 126(19), https://doi.org/10.1029/2021JD034995
Tags: F, FTIR, Model

2021, Thompson, A.M., R. M. Stauffer, K. Wargan, J. C. Witte, D. E. Kollonige, and J. R. Ziemke, Regional and seasonal trends in tropical ozone from SHADOZ profiles: Reference for models and satellite products, Journal of Geophysical Research: Atmospheres, 126, http://doi.org/10.1029/2021JD034691
Tags: Model, Ozone, Satellite, Sonde

2021, Tu, Q., F. Hase, T. Blumenstock, M. Schneider, A. Schneider, R. Kivi, P. Heikkinen, B. Ertl, C. Diekmann, F. Khosrawi, M. Sommer, T. Borsdorff, and U. Raffalski, Intercomparison of arctic xh2o observations from three ground-based Fourier transform infrared networks and application for satellite validation, , Atmospheric Measurement Techniques, 14(3), 1993-2011, https://doi.org/10.5194/amt-14-1993-2021
Tags: FTIR, Polar, Satellite, Sonde, XH2O

2021, Wohltmann, I., ., von der Gathen, P., Lehmann, R., Deckelmann, H., Manney, G. L., Davies, J., et al. , Chemical evolution of the exceptional Arctic stratospheric winter 2019/2020 compared to previous Arctic and Antarctic winters, Journal of Geophysical Research: Atmospheres, 126, e2020JD034356, https://doi.org/10.1029/2020JD034356
Tags: Ozone, Polar, Sonde

2021, Sun, Y., Yin, H., Liu, C., Zhang, L., Cheng, Y., Palm, M., Notholt, J., Lu, X., Vigouroux, C., Zheng, B., Wang, W., Jones, N., Shan, C., Qin, M., Tian, Y., Hu, Q., Meng, F., and Liu, J., Mapping the drivers of formaldehyde (HCHO) variability from 2015 to 2019 over eastern China: insights from Fourier transform infrared observation and GEOS-Chem model simulation, Atmospheric Chemistry and Physics, 21, 6365–6387, https://doi.org/10.5194/acp-21-6365-2021
Tags: Model, FTIR, HCHO