Publications

2020, Compernolle, S., Verhoelst, T., Pinardi, G., Granville, J., Hubert, D., Keppens, A., Niemeijer, S., Rino, B., Bais, A., Beirle, S., Boersma, F., Burrows, J. P., De Smedt, I., Eskes, H., Goutail, F., Hendrick, F., Lorente, A., Pazmino, A., Piters, A., Peters, E., Pommereau, J.-P., Remmers, J., Richter, A., van Geffen, J., Van Roozendael, M., Wagner, T., and Lambert, J.-C., Validation of Aura-OMI QA4ECV NO2 climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties, Atmospheric Chemistry and Physics, 20, 8017–8045, https://doi.org/10.5194/acp-20-8017-2020
Tags: NO2, Satellite, UVVis, Validation

2020, Donner, S., et al., Evaluating different methods for elevation calibration of MAX-DOAS (Multi AXis Differential Optical Absorption Spectroscopy) instruments during the CINDI-2 campaign, Atmospheric Measurement Techniques, 13, 685-712
Tags: UVVis

2020, Safieddine, S., Marie Bouillon, Ana-claudia Paracho, Julien Jumelet, Florent Tence, et al, Antarctic ozone enhancement during the 2019 sudden stratospheric warming event, Geophysical Research Letters, 47 (14), e2020GL087810, https://doi.org/10.1029/2020GL087810
Tags: Lidar, Ozone, SSW, UVVis

2020, Strong, K., W.R. Simpson, K. Bognar, R. Lindenmaier, and S. Roche, Chapter 3: Trace Gases in the Arctic Atmosphere, Physics and Chemistry of the Arctic Atmosphere, A. A. Kokhanovsky and C. Tomasi (ed). Springer Polar Sciences Series, Springer Nature, Heidelberg. First edition, XIV, 717 pp, ISBN 978-3-030-33565-6
Tags: FTIR, UVVis

2020, Wang, H.J., R., Damadeo, R., Flittner, D., Kramarova, N., Taha, G., Davis, S., Thompson, A., Strahan S., Wang, Y., Froidevaux, L., Degenstein, D., Bourassa, A., Steinbrecht, W., Walker, K. A., Querel, R., Leblanc, T., Godin-Beekmann, S., Hurst, D., and Hall, E., Validation of SAGE III/ISSsolar occultation ozone products with correlative satellite and ground based measurements, Journal of Geophysical Research: Atmospheres, 125, e2020JD032430, https://doi.org/10.1029/2020JD032430
Tags: Model, NO2, UVVis

2020, Ryan, R.G., Silver, J. D., Querel, R., Smale, D., Rhodes, S., Tully, M., Jones, N., and Schofield, R., Comparison of formaldehyde tropospheric columns in Australia and New Zealand using MAX-DOAS, FTIR and TROPOMI, Atmospheric Measurement Techniques, 13, 6501–6519, https://doi.org/10.5194/amt-13-6501-2020
Tags: FTIR, UVVis, Satellite, CH2O

2019, Gruzdev, A.N., Accounting for long-term serial correlation in a linear regression problem, IOP Conference Series: Earth and Environmental Science, 231, 012020, pp. 1–10, https://doi.org/10.1088/1755-1315/231/1/012020
Tags: NO2, UVVis

2019, Wagner, T., Beirle, S., Benavent, N., Bösch, T., Chan, K. L., Donner, S., Dörner, S., Fayt, C., Frieß, U., García-Nieto, D., Gielen, C., González-Bartolome, D., Gomez, L., Hendrick, F., Henzing, B., Jin, J. L., Lampel, J., Ma, J., Mies, K., Navarro, M., Peters, E., Pinardi, G., Puentedura, O., Puķīte, J., Remmers, J., Richter, A., Saiz-Lopez, A., Shaiganfar, R., Sihler, H., Van Roozendael, M., Wang, Y., and Yela, M., Is a scaling factor required to obtain closure between measured and modelled atmospheric O4 absorptions? An assessment of uncertainties of measurements and radiative transfer simulations for 2 selected days during the MAD-CAT campaign, Atmospheric Measurement Techniques, 12, 2745-2817, https://doi.org/10.5194/amt-12-2745-2019
Tags: O4, UVVis

2019, Bognar, K., X. Zhao, K. Strong, C.D. Boone, A.E. Bourassa, D.A. Degenstein, J.R. Drummond, A. Duff, F. Goutail, D. Griffn, P.S. Jeffery, E. Lutsch, G.L. Manney, C.T. McElroy, C.A. McLinden, L.F. Millan, A. Pazmino, C.E. Sioris, K.A. Walker, and J. Zou, Updated validation of ACE and OSIRIS ozone and NO2 measurements in the Arctic using ground-based instruments at Eureka, Canada, Journal of Quantitative Spectroscopy and Radiative Transfer, 238, 106571, https://doi.org/10.1016/j.jqsrt.2019.07.014
Tags: FTIR, Ozone, Satellite, UVVis, Validation

2019, Jalali, A., Shannon Hicks-Jalali, Robert Sica, Alexander Haefele, Thomas von Clarmann, A practical information-centered technique to remove a priori information from lidar optimalestimation-method retrievals., Atmospheric Measurement Techniques, 12: 3943–3961
Tags: Algorithm, Lidar