Publications of 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), pp. 6315 - 6344 (2024)

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, April 14, 2024 - April 19, 2024. (2024)

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)