Publications

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, Friedrich, M., M., Rivera, C., Stremme, W., Ojeda, Z., Arellano, J., Bezanilla, A., García-Reynoso, J. A., and Grutter, M., NO2 vertical profiles and column densities from MAX-DOAS measurements in Mexico City, Atmospheric Measurement Techniques, 12, 2545–2565, https://doi.org/10.5194/amt-12-2545-2019
Tags: FTIR, NO2, UVVis

2019, Frieß, U., Beirle, S., Alvarado Bonilla, L., Bösch, T., Friedrich, M. M., Hendrick, F., Piters, A., Richter, A., van Roozendael, M., Rozanov, V. V., Spinei, E., Tirpitz, J.-L., Vlemmix, T., Wagner, T., and Wang, Y., Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data, Atmospheric Measurement Techniques, 12, 2155–2181, https://doi.org/10.5194/amt-12-2155-2019
Tags: Algorithm, UVVis

2019, Garane, K., Koukouli, M.-E., Verhoelst, T., Lerot, C., Heue, K.-P., Fioletov, V., Balis, D., Bais, A., Bazureau, A., Dehn, A., Goutail, F., Granville, J., Griffin, D., Hubert, D., Keppens, A., Lambert, J.-C., Loyola, D., McLinden, C., Pazmino, A., Pommereau, J.-P., Redondas, A., Romahn, F., Valks, P., Van Roozendael, M., Xu, J., Zehner, C., Zerefos, C., and Zimmer, W, TROPOMI/S5P total ozone column data: global ground-based validation and consistency with other satellite missions, Atmospheric Measurement Techniques, 12, 5263–5287, https://doi.org/10.5194/amt-12-5263-2019
Tags: Brewer, Ozone, Satellite, UVVis, Validation

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, Gruzdev, A.N., Accounting for serial correlation in a multiple linear regression problem on the example of analysis of the column NO2 content in the atmosphere, Izvestiya, Atmospheric and Oceanic Physics, 55, 65–72, https://doi.org/10.1134/S0001433819010043
Tags: NO2, UVVis

2019, Schiavo, B., et al., Characterization of a UV camera system for SO2 measurements from Popocatépetl Volcano, Journal of Volcanology and Geothermal Research, 370, 82–94, https://doi.org/10.1016/j.jvolgeores.2018.09.001
Tags: FTIR, SO2, Volcano

2019, Svendby, T.M., Hansen, G. H., Bäcklund, A., and Dahlback, A., Monitoring of the atmospheric ozone layer and natural ultraviolet radiation. Annual report 2018, Miljødirektoratet rapport, Miljødirektoratet rapport, M-1462/2019
Tags: Ozone, UVVis

2019, Taquet, N., Stremme W, Grutter M, Baylón J, Bezanilla A, Schiavo B, Rivera C, Campion R, Boulesteix T, Nieto-Torres A, Espinasa-Pereña R, Blumenstock T and Hase F, Variability in the Gas Composition of the Popocatépetl Volcanic Plume, Frontiers in Earth Science, 8:54, https://doi.org/10.3389/feart.2019.00114
Tags: FTIR, Volcano

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