Publications of T. Wagner

Beirle, S., Volkamer, R., Wittrock, F., Richter, A., Burrows, J., Platt, U. and Wagner, T.: DOAS retrieval of Glyoxal from space, in Proceedings of the first 'Atmospheric Science Conference', ESRIN, Frascati, Italy, 8-12 May 2006 (ESA SP-628, July 2006), edited by H. Lacoste, ESA Publications Div., Noordwijk. [online] Available from: http://hdl.handle.net/11858/00-001M-0000-0014-89DE-F, 2006.

Marbach, T., Beirle, S., Khokhar, F., Platt, U. and Wagner, T.: Identification of Tropospheric Emissions Sources from Satellite Observations: Synergistic Use of HCHO, NO₂ and SO₂ Trace Gas Measurements, in Proceedings to the 1st ACCENT Symposium, The Changing Chemical Climate of the Atmosphere, edited by S. Fuzzi and M. Maione, ARACNE editrice, Roma. [online] Available from: http://hdl.handle.net/11858/00-001M-0000-0014-89DC-4, 2006.

Pukite, J., Kühl, S., Wilms-Grabe, W., von Friedeburg, C., Deutschmann, T., Sanghavi, S., Hollwedel, J., Beirle, S., Frankenberg, C., Khokhar, M. F., Grzegorski, M., Marbach, T., Kirchhof, B., Kraus, S., Platt, U. and Wagner, T.: SCIAMACHY limb measurements as a new tool for stratospheric ozone studies, in Sustainable development in the Baltic and beyond, edited by W. Leal-Filho, A. Ubelis, and D. Berzina, pp. 493–502, Lang, Berlin. [online] Available from: http://hdl.handle.net/11858/00-001M-0000-0014-89E0-7, 2006.

Jost, A., Beirle, S., Borger, C., Theys , N., Ziegler, S. and Wagner, T.: Improving global SO₂ emission inventories using Sentinel-5P TROPOMI satellite data, in EGU General Assembly 2024, Vienna, Austria & Online., 2024.

Kuhn, L., Beirle, S. and Wagner, T.: NitroNet – A new deep-learning model for the prediction of NO₂ profiles based on TROPOMI satellite observations, in EGU General Assembly 2024, Vienna, Austria & Online., 2024.

Lee, H., Park, J., Hong, H., Kim, J., Lee, H.-J., Jung, Y., Roozendael, M. V., Fayt, C., Park, R., Kim, S., Ahn, M.-H., Jacob, D. J., Kim, D., Choi, W., Lee, W.-J., Lee, D.-W., Wagner, T., Richter, A., Krotkov, N. A. and Lamsal, L. N.: Diurnal characteristics of the NO₂ columns observed over Asia from Geostationary Environment Monitoring Spectrometer (GEMS), in EGU General Assembly 2024, Vienna, Austria & Online., 2024.

Wagner, T., Beirle, S. and Borger, C.: High-resolution satellite measurements of NO₂ and CO₂ in power plant plumes, in EGU General Assembly 2024, Vienna, Austria & Online., 2024.

Ripperger-Lukosiunaite, S., Dörner, S., Donner, S., Lauster, B., Beirle, S., Remmers, J. and Wagner, T.: Estimating average Nitrogen Oxide emissions from inland waterway vessels using MAX-DOAS measurements, in EGU General Assembly 2022, Vienna, Austria., 2022.

Beirle, S. and Wagner, T.: Investigating NO₂ processing in power plant plumes from TROPOMI, EGU General Assembly 2024, Vienna, Austria & Online, doi:10.5194/egusphere-egu24-2121, 2024.

Wagner, T., Dörner, S., Beirle, S., Donner, S. and Kinne, S.: Quantitative comparison of measured and simulated O₄ absorptions for one day with extremely low aerosol load over the tropical Atlantic, Atmospheric Measurement Techniques Discussions, 13, doi:10.5194/amt-2020-457, 2020.

Wagner, T., Beirle, S., Dörner, S., Borger, C. and Van Malderen, R.: Identification of atmospheric and oceanic teleconnection patterns in a 20-year global data set of the atmospheric water vapor column measured from satellites in the red spectral range, Atmospheric Chemistry and Physics Discussions, 20, doi:10.5194/acp-2020-565, 2020.

Lauster, B., Dörner, S., Beirle, S., Donner, S., Gromov, S., Uhlmannsiek, K. and Wagner, T.: Estimating real driving emissions from MAX-DOAS measurements at the A60 motorway near Mainz, Germany, Atmospheric Measurement Techniques Discussions, 13, doi:10.5194/amt-2020-125, 2020.

Sihler, H., Beirle, S., Dörner, S., Gutenstein-Penning de Vries, M., Hörmann, C., Borger, C., Warnach, S. and Wagner, T.: MICRU background map and effective cloud fraction algorithms designed for UV/vis satellite instruments with large viewing angles, Atmospheric Measurement Techniques Discussions, 13, doi:10.5194/amt-2020-182, 2020.

Huang, Y., Li, A., Wagner, T., Wang, Y., Hu, Z., Xie, P., Xu, J., Ren, H., Fang, X. and Dang, B.: The quantification of NO_x and SO₂ point source emission flux errors of mobile DOAS on the basis of the Gaussian dispersion model: A simulation study, Atmospheric Measurement Techniques Discussions, 13, doi:10.5194/amt-2020-125, 2020.

Pinardi, G., Van Roozendael, M., Hendrick, F., Theys, N., Abuhassan, N., Bais, A., Boersma, F., Cede, A., Chong, J., Donner, S., Drosoglou, T., Frieß, U., Granville, J., Herman, J. R., Eskes, H., Holla, R., Hovila, J., Irie, H., Kanaya, Y., Karagkiozidis, D., Kouremeti, N., Lambert, J.-C., Ma, J., Peters, E., Piters, A., Postylyakov, O., Richter, A., Remmers, J., Takashima, H., Tiefengraber , M., Valks, P., Vlemmix, T., Wagner, T. and Wittrock , F.: Validation of tropospheric NO₂ column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations, Atmospheric Measurement Techniques Discussions, 13, doi:10.5194/amt-2020-76, 2020.

Kreher, K., Van Roozendael, M., Hendrick, F., Apituley, A., Dimitropoulou, E., Frieß, U., Richter, A., Wagner, T., Abuhassan, N., Ang, L., Anguas, M., Bais, A., Benavent, N., Bösch, T., Bognar, K., Borovski, A., Bruchkouski, I., Cede, A., Chan, K. L., Donner, S., Drosoglou, T., Fayt, C., Finkenzeller, H., Garcia-Nieto, D., Gielen, C., Gómez-Martín, L., Hao, N., Herman, J. R., Hermans, C., Hoque, S., Irie, H., Jin, J., Johnston, P., Butt, J. K., Khokhar, F., Koenig, T. K., Kuhn, J., Kumar, V., Lampel, J., Liu, C., Ma, J., Merlaud, A., Mishra, A. K., Müller, M., Navarro-Comas, M., Ostendorf, M., Pazmino, A., Peters, E., Pinardi, G., Pinharanda, M., Piters, A., Platt, U., Postylyakov, O., Prados-Roman, C., Puentedura, O., Querel, R., Saiz-Lopez, A., Schönhardt, A., Schreier, S. F., Seyler, A., Sinha, V., Spinei, E., Strong, K., Tack, F., Tian, X., Tiefengraber, M., Tirpitz, J.-L., van Gent, J., Volkamer, R., Vrekoussis, M., Wang, S., Wang, Z., Wenig, M., Wittrock, F., Xie, P. H., Xu, J., Yela, M., Zhang, C. and Zhao, X.: Intercomparison of NO₂, O₄, O₃ and HCHO slant column measurements by MAX-DOAS and zenith-sky UV-Visible spectrometers during the CINDI-2 campaign, Atmospheric Measurement Techniques Discussions, 12, doi:10.5194/amt-2019-157, 2019.

Tirpitz, J.-L., Frieß, U., Hendrick, F., Alberti, C., Allaart, M., Apituley, A., Bais, A., Beirle, S., Berkhout, S., Bognar, K., Bösch, T., Bruchkouski, I., Cede, A., Chan, K. L., den Hoed, M., Donner, S., Drosoglou, T., Fayt, C., Friedrich, M. M., Frumau, A., Gast, L., Gielen, C., Gomez-Martín, L., Hao, N., Hensen, A., Henzing, B., Hermans, C., Jin, J., Kreher, K., Kuhn, J., Lampel, J., Li, A., Liu, C., Liu, H., Ma, J., Merlaud, A., Peters, E., Pinardi, G., Piters, A., Platt, U., Puentedura, O., Richter, A., Schmitt, S., Spinei, E., Stein Zweers, D., Strong, K., Swart, D., Tack, F., Tiefengraber, M., van der Hoff, R., van Roozendael, M., Vlemmix, T., Vonk, J., Wagner, T., Wang, Y., Wang, Z., Wenig, M., Wiegner, M., Wittrock, F., Xie, P., Xing, C., Xu, J., Yela, M., Zhang, C. and Zhao, X.: Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies on field data from the CINDI-2 campaign, Atmospheric Measurement Techniques Discussions, in review, doi:10.5194/amt-2019-456, 2019.

Wang, Z., Chan, K. L., Heue, K.-P., Doicu, A., Wagner, T., Holla, R. and Wiegner, M.: A MAX-DOAS aerosol profile retrieval algorithm for high altitude measurements: application to measurements at Schneefernerhaus (UFS), Germany, Atmospheric Measurement Techniques Discussions, in review, doi:10.5194/amt-2019-204, 2019.

Beirle, S., Dörner, S., Donner, S., Remmers, J., Wang, Y. and Wagner, T.: The Mainz Profile Algorithm (MAPA), Atmospheric Measurement Techniques Discussions, 11, doi:10.5194/amt-2018-375, 2018.

Frieß, U., Beirle, S., Bonilla, L. A., 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 Discussions, 11, doi:10.5194/amt-2018-423, 2018.