Publications

2022, Bahramvash Shams, S., V. P. Walden, J. W. Hannigan, W. J. Randel, I. V. Petropavlovskikh, A. H. Butler, and A. de la Cámara, Analyzing ozone variations and uncertainties at high latitudes during sudden stratospheric warming events using MERRA-2, Atmospheric Chemistry and Physics, 22.8, 5435–5458, https://doi.org/10.5194/acp-22-5435-2022
Tags: Model, Ozone

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, 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, 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

2021, Meng, L., J. Liu, D.W. Tarasick and Y. Li , Biases of Global Tropopause Altitude Products in Reanalyses and Implications for Estimates of Tropospheric Column Ozone, Atmosphere, 12, 417, https://doi.org/10.3390/atmos12040417
Tags: Sonde, Ozone, Model

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

2021, Karlovets, E.V., I.E. Gordon, L.S. Rothman, R. Hashemi, R.J. Hargreaves, G.C. Toon, A. Campargue, V.I. Perevalov, P. Cermak, M. Birk, G. Wagner, J.T. Hodges, J. Tennyson, S.N. Yurchenko, The update of the line positions and intensities in the line list of carbon dioxide for the HITRAN2020 spectroscopic database, Journal of Quantitative Spectroscopy and Radiative Transfer, 276, 107896, https://doi.org/10.1016/j.jqsrt.2021.107896
Tags: CO2, FTIR

2021, Mahieu, E., E. V. Fischer, B. Franco, M. Palm, T. Wizenberg, D. Smale, L. Clarisse, C. Clerbaux, P.-F. Coheur, J. W. Hannigan, E. Lutsch, J. Notholt, I. P. Cantos, M. Prignon, C. Servais, and K. Strong, First retrievals of peroxyacetyl nitrate (PAN) from ground-based FTIR solar spectra recorded at remote sites, comparison with model and satellite data, Elementa: Science of the Anthropocene, 9(1), https://doi.org/10.1525/elementa.2021.00027
Tags: FTIR, Model, Satellite

2021, Ionov, D.V., Makarova, M. V., Hase, F., Foka, S. C., Kostsov, V. S., Alberti, C., Blumenstock, T., Warneke, T., and Virolainen, Y. A., The CO2 integral emission by the megacity of St Petersburg as quantified from ground-based FTIR measurements combined with dispersion modelling, Atmospheric Chemistry and Physics, 21, 10939–10963, https://doi.org/10.5194/acp-21-10939-2021
Tags: FTIR, CO2

2021, Roche, S., K. Strong, D. Wunch, J. Mendonca, C. Sweeney, B. Baier, S. C. Biraud, J.L. Laughner, G.C. Toon, and B.J. Connor, Retrieval of atmospheric CO2 vertical profiles from ground-based near-infrared spectra, Atmospheric Measurement Techniques, 14, 3087–3118, https://doi.org/10.5194/amt-14-3087-2021
Tags: FTIR, CO2