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., 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. und Jeon, K.: Validation of GEMS operational v2.0 total column NO₂ and HCHO during the GMAP/SIJAQ campaign., Science of the Total Environment, 974, doi:10.1016/j.scitotenv.2025.179190, 2025.

Lange, K., Richter, A., Boesch, T., Zilker, B., Latsch, M., Behrens, L. K., Okafor, C. M., Boesch, H., Burrows, J. P., Merlaud, A., 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. und Lee, H.: Validation of GEMS tropospheric NO₂ columns and their diurnal variation with ground-based DOAS measurements, Atmospheric Measurement Techniques, 17(21), 6315–6344, doi:10.5194/amt-17-6315-2024, 2024.

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.

Kuhn, L., Beirle, S., Osipov, S., Pozzer, A. und Wagner, T.: NitroNet – A deep-learning NO₂ profile retrieval prototype for the TROPOMI satellite instrument, EGUsphere, doi:10.5194/egusphere-2024-1196, 2024.