Publications

2022, Hannigan, J.W., I. Ortega, S. B. Shams, T. Blumenstock, J. E. Campbell, S. Conway, V. Flood, O. García, D. Griffith, M. Grutter, F. Hase, P. Jeseck, N. Jones, E. Mahieu, M. Makarova, M. De Mazière, I. Morino, I. Murata, T. Nagahama, H. Nakijima, J. Notholt, M. Palm, A. Poberovskii, M. Rettinger, J. Robinson, A. N. Röhling, M. Schneider, C. Servais, D. Smale, W. Stremme, K. Strong, R. Sussmann, Y. Té, C. Vigouroux, and T. Wizenberg, Global Atmospheric OCS Trend Analysis from 22 NDACC Stations, Journal of Geophysical Research: Atmospheres, 127(4), https://doi.org/10.1029/2021JD035764
Tags: FTIR, OCS, Trends

2022, Chang, K., Cooper O., Gaudel A., Allaart M., Ancellet G., Clark H., Godin-Beekmann S., Leblanc T., van Malderen R., Nédélec P., Petropavlovskikh I. et al., Impact of the COVID‐19 Economic Downturn on Tropospheric Ozone Trends: An Uncertainty Weighted Data Synthesis for Quantifying Regional Anomalies Above Western North America and Europe, AGU Advances, 3 (2), pp.e2021AV000542, https://dx.doi.org/10.1029/2021av000542
Tags: COVID, Lidar, Ozone, Trends

2022, Weber, M., Arosio, C., Coldewey-Egbers, M., Fioletov, V. E., Frith, S. M., Wild, J. D., Tourpali, K., Burrows, J. P., and Loyola, D., Global total ozone recovery trends attributed to ozone-depleting substance (ODS) changes derived from five merged ozone datasets, Atmospheric Chemistry and Physics, 22, 6843–6859, https://doi.org/10.5194/acp-22-6843-2022
Tags: Ozone, Satellite, Trends

2022, Koukouli, M.-E., Pseftogkas A, Karagkiozidis D, Skoulidou I, Drosoglou T, Balis D, Bais A, Melas D, Hatzianastassiou N., Air Quality in Two Northern Greek Cities Revealed by Their Tropospheric NO2 Levels, Atmosphere, 13(5):840, https://doi.org/10.3390/atmos13050840
Tags: NO2, UVVis

2022, Pinardi, G., Van Roozendael, M., Hendrick, F., Richter, A., Valks, P., Alwarda, R., Bognar, K., Frieß, U., Granville, J., Gu, M., Johnston, P., Prados-Roman, C., Querel, R., Strong, K., Wagner, T., Wittrock, F., and Yela Gonzalez, M., Ground-based validation of the MetOp-A and MetOp-B GOME-2 OClO measurements, Atmospheric Measurement Techniques, 15, 3439–3463, https://doi.org/10.5194/amt-15-3439-2022
Tags: OClO, Satellite, UVVis, Validation

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

2022, Sullivan, J., Apituley, A., Mettig, N., Kreher, K., Knowland, K.E., Allaart, M., Piters, A., Van Roozendael, M.,Veefkind, P.. Ziemke, J.R. Kramarova, N., Weber, M., Rozanov, A., Twigg, L., Sumnicht, G., McGee, T.J., Tropospheric and Stratospheric Ozone Profiles during the 2019 TROpomi vaLIdation eXperiment (TROLIX-19), Atmospheric Chemistry and Physics, 22, 11137–11153, https://doi.org/10.5194/acp-22-11137-2022
Tags: Lidar, Satellite, Sonde, UVVis

2021, Livesey, N.J., W.G. Read, L. Froidevaux, A. Lambert, M.L. Santee, M.J. Schwartz, L.F. Millán, R.F. Jarnot, P.A. Wagner, D.F. Hurst, K.A. Walker, P.E. Sheese, and G.E. Nedoluha, Investigation and amelioration of long-term instrumental drifts in water vapor and nitrous oxide measurements from the Aura Microwave Limb Sounder (MLS) and their implications for studies of variability and trends, Atmospheric Chemistry and Physics, 21(20), 15409-15430, https://doi.org/10.5194/acp-21-15409-2021
Tags: H2O, Microwave, NO, Satellite, Trends

2021, Garcia, O.E., M. Schneider, E. Sepúlveda, F. Hase, T. Blumenstock, E. Cuevas, R. Ramos, et al. , Twenty years of ground-based NDACC FTIR spectrometry at Izaña Observatory–overview and long-term comparison to other techniques, Atmospheric Chemistry and Physics, 21, 15519-54
Tags: FTIR, UVVis, Validation

2021, Tirpitz, J.-L., U. Frieß, F. Hendrick, C. Alberti, M. Allaart, A. Apituley, A. Bais, S. Beirle, S. Berkhout, K. Bognar, T. Bösch, I. Bruchkouski, A. Cede, K.L. Chan, M. den Hoed, S. Donner, T. Drosoglou, C. Fayt, M.M. Friedrich, A. Frumau, L. Gast, C. Gielen, L. Gomez-Martín, N. Hao, A. Hensen, B. Henzing, C. Hermans, J. Jin, K. Kreher, J. Kuhn, J. Lampel, A. Li, C. Liu, H. Liu, J. Ma, A. Merlaud, E. Peters, G. Pinardi, A. Piters, U. Platt, O. Puentedura, A. Richter, S. Schmitt, E. Spinei, D. Stein Zweers, K. Strong, D. Swart, F. Tack, M. Tiefengraber, R. van der Hoff, M. van Roozendael, T. Vlemmix, J. Vonk, T. Wagner, Y. Wang, Z. Wang, M. Wenig, M. Wiegner, F. Wittrock, P. Xie, C. Xing, J. Xu, M. Yela, C. Zhang, and X. Zhao, Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies on field data from the CINDI-2 campaign, Atmospheric Measurement Techniques, 14, 1–35, https://doi.org/10.5194/amt-14-1-2021
Tags: CalVal, UVVis