Publikationen von Leon Kuhn

Bae, K.; Song, C.-K.; Van Roozendael, M.; Richter, A.; Wagner, T.; Merlaud, A.; Pinardi, G.; Friedrich, M. M.; Fayt, C.; Dimitropoulou, E. et al.; Lange, K.; Bosch, T.; Zilker, B.; Latsch, M.; Behrens, L. K.; Ziegler, S.; Ripperger-Lukosiunaite, S.; Kuhn, L.; Lauster, B.; Reischmann, L.; Uhlmannsiek, K.; Cede, A.; Tiefengraber, M.; Gebetsberger , M.; Park, R. J.; Lee, H.; Hong, H.; Chang, L.-S.; Jeon, K.: Validation of GEMS operational v2.0 total column NO₂ and HCHO during the GMAP/SIJAQ campaign. Science of the Total Environment 974, 179190 (2025)

Lange, K.; Richter, A.; Boesch, T.; Zilker, B.; Latsch, M.; Behrens, L. K.; Okafor, C. M.; Boesch, H.; Burrows, J. P.; Merlaud, A. et al.; Pinardi, G.; Fayt, C.; Friedrich, M. M.; Dimitropoulou, E.; Van Roozendael, M.; Ziegler, S.; Ripperger-Lukosiunaite, S.; Kuhn, L.; Lauster, B.; Wagner, T.; Hong, H.; Kim, D.; Chang, L.-S.; Bae, K.; Song, C.-K.; Park, J.-U.; Lee, H.: Validation of GEMS tropospheric NO₂ columns and their diurnal variation with ground-based DOAS measurements. Atmospheric Measurement Techniques 17 (21), S. 6315 - 6344 (2024)

Donner, S.; Lauster, B.; Ziegler, S.; Artaxo, P.; Beirle, S.; Edtbauer, A.; Kuhn, L.; Machado, L.; Pozzer, A.; Ringsdorf, A. et al.; Williams, J.; Wagner, T.: Linking MAX-DOAS measurements of formaldehyde and glyoxal to precursor substances at the canopy-atmosphere-interface at ATTO. In EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11562. EGU General Assembly 2026, Vienna, 03. Mai 2026 - 08. Mai 2026. EGU (2026)

Klingmüller, K.; Butler, T.; Gromov, S.; Jorba, O.; Kuhn, L.; Mas Magre, I.; Melli, A.; Mouchel-Vallon, C.; Petetin, H.; Sander, R. et al.; Schaap, M.; Thürkow, M.; Lelieveld, J.; Pozzer, A.: Modelling complex atmospheric chemistry with artificial intelligence: data, constraints, and scalability. In EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16748. EGU General Assembly 2026, Vienna, 03. Mai 2026 - 08. Mai 2026. EGU (2026)

Kuhn, L.; Wagner, T.; Beirle, S.: Estimating street-scale NO₂ surface concentrations from TROPOMI observations and high-resolution geographic data. In EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4421. EGU General Assembly 2026, Vienna, 03. Mai 2026 - 08. Mai 2026. EGU (2026)

Kuhn, L.; Beirle, S.; 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, EGU24-3660. EGU General Assembly 2024, Vienna, 14. April 2024 - 19. April 2024. (2024)

Klingmüller, K.; Butler, T. M.; Gromov, S.; Jorba, O.; Kuhn, L.; Magre, I. M.; Mouchel-Vallon, C.; Petetin, H.; Sander, R.; Schaap, M. et al.; Thürkow, M.; Lelieveld, J.; Pozzer, A.: The EACH project: Artificial Intelligence Emulating Atmospheric Chemistry. AGU Annual Meeting, New Orleans, LA (2025)

Kuhn, L.; Beirle, S.; Osipov, S.; Pozzer, A.; Wagner, T.: NitroNet – A deep-learning NO₂ profile retrieval prototype for the TROPOMI satellite instrument. EGUsphere (2024)