Publikationen von T. Wagner
Alle Typen
Konferenzbeitrag (8)
221.
Konferenzbeitrag
Beirle, S., , , , , und 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), herausgegeben von , ESA Publications Div., Noordwijk. [online] Available from: http://hdl.handle.net/11858/00-001M-0000-0014-89DE-F, 2006.
222.
Konferenzbeitrag
Marbach, T., Beirle, S., , und 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, herausgegeben von und , ARACNE editrice, Roma. [online] Available from: http://hdl.handle.net/11858/00-001M-0000-0014-89DC-4, 2006.
223.
Konferenzbeitrag
Pukite, J., Kühl, S., , , , , , Beirle, S., , Khokhar, M. F., Grzegorski, M., Marbach, T., , , und Wagner, T.: SCIAMACHY limb measurements as a new tool for stratospheric ozone studies, in Sustainable development in the Baltic and beyond, herausgegeben von , , und , S. 493–502, Lang, Berlin. [online] Available from: http://hdl.handle.net/11858/00-001M-0000-0014-89E0-7, 2006.
Meeting Abstract (5)
224.
Meeting Abstract
Jost, A., Beirle, S., Borger, C., , Ziegler, S. und Wagner, T.: Improving global SO2 emission inventories using Sentinel-5P TROPOMI satellite data, in EGU General Assembly 2024, Vienna, Austria & Online., 2024.
225.
Meeting Abstract
Kuhn, L., Beirle, S. und 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.
226.
Meeting Abstract
Wagner, T., , und : Diurnal characteristics of the NO2 columns observed over Asia from Geostationary Environment Monitoring Spectrometer (GEMS), in EGU General Assembly 2024, Vienna, Austria & Online., 2024.
, , , , , , , , , , , , , , , , 227.
Meeting Abstract
Wagner, T., Beirle, S. und Borger, C.: High-resolution satellite measurements of NO2 and CO2 in power plant plumes, in EGU General Assembly 2024, Vienna, Austria & Online., 2024.
228.
Meeting Abstract
Ripperger-Lukosiunaite, S., Dörner, S., Donner, S., Lauster, B., Beirle, S., Remmers, J. und Wagner, T.: Estimating average Nitrogen Oxide emissions from inland waterway vessels using MAX-DOAS measurements, in EGU General Assembly 2022, Vienna, Austria., 2022.
Poster (1)
229.
Poster
Beirle, S. und 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.
Forschungspapier (43)
230.
Forschungspapier
Wagner, T., Dörner, S., Beirle, S., Donner, S. und : 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.
231.
Forschungspapier
Wagner, T., Beirle, S., Dörner, S., Borger, C. und : 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.
232.
Forschungspapier
Lauster, B., Dörner, S., Beirle, S., Donner, S., Gromov, S., Uhlmannsiek, K. und 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.
233.
Forschungspapier
Sihler, H., Beirle, S., Dörner, S., Gutenstein-Penning de Vries, M., Hörmann, C., Borger, C., Warnach, S. und 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.
234.
Forschungspapier
Wagner, T., , , , , , und : The quantification of NOx 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.
, , 235.
Forschungspapier
Donner, S., , , , , , , , , , , , , , , , , , Remmers, J., , , , , Wagner, T. und : 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.
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Forschungspapier
Wagner, T., , , , , , , , , , , , Donner, S., , , , , , , , , , , , , , , , , Kuhn, J., , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und : 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.
, , , , , , , 237.
Forschungspapier
Beirle, S., , , , , , , , Donner, S., , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Wagner, T., Wang, Y., , , , , , , , , und : 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.
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Forschungspapier
Wagner, T., und : 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.
, , , , 239.
Forschungspapier
Beirle, S., Dörner, S., Donner, S., Remmers, J., Wang, Y. und Wagner, T.: The Mainz Profile Algorithm (MAPA), Atmospheric Measurement Techniques Discussions, 11, doi:10.5194/amt-2018-375, 2018.
240.
Forschungspapier
Beirle, S., , , , , , , , , , , , Wagner, T. und 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.
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