Publications

2024, Smit, H.G.J., Poyraz, D., Van Malderen, R., Thompson, A.M., Tarasick, D.W., Stauffer, R.M., Johnson, B.J., and Kollonige, D.E., New Insights From The Jülich Ozone-Sonde Intercomparison Experiments: Calibration Functions Traceable To One Ozone Reference Instrument, Atmospheric Measurement Techniques, 17, 73–112, https://doi.org/10.5194/amt-17-73-2024
Tags: Calibration, Ozone, Sonde

2023, Barten, J.G.M., et al., Low ozone dry deposition rates to sea ice during the MOSAiC field campaign: Implications for the Arctic boundary layer ozone budget, Elementa: Science of the Anthropocene, 11 (1): 00086, https://doi.org/10.1525/elementa.2022.00086
Tags: Arctic, Ozone, Sonde

2023, Poraicu, C., Müller, J.-F., Stavrakou, T., Fonteyn, D., Tack, F., Deutsch, F., Laffineur, Q., Van Malderen, R., and Veldeman, N., Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium, Geoscientific Model Development, 16, 479–508, https://doi.org/10.5194/gmd-16-479-2023
Tags: NO2, Satellite, Sonde

2023, Karagkiozidis, D., Koukouli M-E, Bais A, Balis D, Tzoumaka P., Assessment of the NO2 Spatio-Temporal Variability over Thessaloniki, Greece, Using MAX-DOAS Measurements and Comparison with S5P/TROPOMI Observations, Applied Sciences, 13(4):2641, https://doi.org/10.3390/app13042641
Tags: NO2, Satellite, UVVis

2023, Chang, K.L., O.R. Cooper, G. Rodriguez, L.T. Iraci, E.L. Yates, M.S. Johnson, A. Gaudel, D.A. Jaffe, N. Bernays, H. Clark, P. Effertz, T. Leblanc, I. Petropavlovskikh, B. Sauvage, D.W. Tarasick , Diverging ozone trends above western North America: boundary layer decreases vs. free tropospheric increases, Journal of Geophysical Research: Atmospheres, 128, e2022JD038090, https://doi.org/10.1029/2022JD038090
Tags: Dobson, Lidar, Ozone, Sonde, Trends

2023, Tu, Q., Hase, F., Chen, Z., Schneider, M., García, O., Khosrawi, F., Chen, S., Blumenstock, T., Liu, F., Qin, K., Cohen, J., He, Q., Lin, S., Jiang, H., and Fang, D., Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique, Atmospheric Measurement Techniques, 16, 2237–2262, https://doi.org/10.5194/amt-16-2237-2023
Tags: FTIR, NO2

2023, Johnson, B.J., Cullis, P., Booth, J., Petropavlovskikh, I., McConville, G., Hassler, B., Morris, G. A., Sterling, C., Oltmans, S., South Pole Station ozonesondes: variability and trends in the springtime Antarctic ozone hole 1986–2021, Atmospheric Chemistry and Physics, 23, 3133–3146, https://doi.org/10.5194/acp-23-3133-2023
Tags: Dobson, Ozone, Sonde, Trends

2023, Whaley, C.H., Law, K. S., Hjorth, J. L., Skov, H., Arnold, S. R., Langner, J., Pernov, J. B., Bergeron, G., Bourgeois, I., Christensen, J. H., Chien, R.-Y., Deushi, M., Dong, X., Effertz, P., Faluvegi, G., Flanner, M., Fu, J. S., Gauss, M., Huey, G., Im, U., Kivi, R., Marelle, L., Onishi, T., Oshima, N., Petropavlovskikh, I., Peischl, J., Plummer, D. A., Pozzoli, L., Raut, J.-C., Ryerson, T., Skeie, R., Solberg, S., Thomas, M. A., Thompson, C., Tsigaridis, K., Tsyro, S., Turnock, S. T., von Salzen, K., and Tarasick, D. W., Paper 1: Arctic tropospheric ozone: assessment of current knowledge and model performance, Atmospheric Chemistry and Physics, 23, 637–661, https://doi.org/10.5194/acp-23-637-2023
Tags: Arctic, Ozone, Sonde, Tropospheric Ozone

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

2022, Karagkiozidis, D., Friedrich, M. M., Beirle, S., Bais, A., Hendrick, F., Voudouri, K. A., Fountoulakis, I., Karanikolas, A., Tzoumaka, P., Van Roozendael, M., Balis, D., and Wagner, T., Retrieval of tropospheric aerosol, NO2, and HCHO vertical profiles from MAX-DOAS observations over Thessaloniki, Greece: intercomparison and validation of two inversion algorithms, Atmospheric Measurement Techniques, 15, 1269–1301, https://doi.org/10.5194/amt-15-1269-2022
Tags: Aerosol, Algorithm, CalVal, HCHO, NO2, UVVis