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, Strahan, S.E., D. Smale, S. Solomon, G. Taha, M. R. Damon, S. D. Steenrod, N. Jones, B. Liley, R. Querel and J. Robinson, Unexpected Repartitioning of Stratospheric Inorganic Chlorine After the 2020 Australian Wildfires, Geophysical Research Letters, 49(14): e2022GL098290
Tags: Cl, Fire, Model

2022, Callewaert, S., Brioude, J., Langerock, B., Duflot, V., Fonteyn, D., Müller, J.-F., Metzger, J.-M., Hermans, C., Kumps, N., Ramonet, M., Lopez, M., Mahieu, E. and De Mazière, M, Analysis of CO2, CH4, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations, Atmospheric Chemistry and Physics, 22(11), 7763–7792, https://doi.org/10.5194/acp-22-7763-2022
Tags: CH4, CO, CO2, FTIR

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

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, You, Y., B. Byrne, O. Colebatch, R.L. Mittermeier, F. Vogel, and K. Strong, Quantifying the impact of the COVID-19 pandemic restrictions on CO, CO2, and CH4 in downtown Toronto using open-path Fourier transform spectroscopy, Atmosphere, 12(7), 848, https://doi.org/10.3390/atmos12070848
Tags: FTIR, CO, CO2, CH4

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

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, 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