Publications of K. Klingmüller

Working Paper (6)

41.
Working Paper
Klingmüller, K., Pozzer, A., Metzger, S., Stenchikov, G. L. and Lelieveld, J.: Aerosol optical depth trend over the Middle East, Atmospheric Chemistry and Physics Discussions, 16, doi:10.5194/acp-2015-839 , 2016.
42.
Working Paper
Metzger, S., Steil, B., Abdelkader, M., Klingmüller, K., Xu, L., Penner, J. E., Fountoukis, C., Nenes, A. and Lelieveld, J.: Aerosol water parameterization: a single parameter framework, Atmospheric Chemistry and Physics Discussions, 15, 33493–33553, doi:10.5194/acpd-15-33493-2015, 2015.

Other (1)

43.
Other
Martin, A., Gayler , V., Steil, B., Klingmüller, K., Jöckel, P., Tost, H., Lelieveld, J. and Pozzer, A.: Supplement of Evaluation of the coupling of EMACv2.55 to the land surface and vegetation model JSBACHv4, Geoscientific Model Development, 17(14), doi:10.5194/gmd-17-5705-2024-supplement, 2024.

Preprint (5)

44.
Preprint
Martin, A., Klingmüller, K., Steil, B., Gromov, S., Lee, Y.-R., Chang, D. Y., Surawski, N., Lelieveld, J., Jeong, S. and Pozzer, A.: Interactive Simulation of Methane and Hydrogen Soil Deposition in ECHAM5/MESSy Atmospheric Chemistry Model (EMAC) v2.55 with the new Submodel BIODEP (v1.0), EGUsphere, doi:10.5194/egusphere-2026-371, 2026.
45.
Preprint
Osipov, S., Pozzer, A., Klingmüller, K., Lelieveld, J., Stenchikov, G., Wada, Y., Zittis, G., Bourtsoukidis, E., Fnais, M. and Predybaylo, E.: Steeply Rising Anthropogenic Pollution Emissions in the Middle East: Air Quality and Climate Impacts, ESS Open Archive, doi:10.22541/essoar.174426953.38472712/v1, 2025.
46.
Preprint
Martin, A., Gayler , V., Steil, B., Klingmüller, K., Jöckel, P., Tost, H., Lelieveld, J. and Pozzer, A.: Evaluation of the coupling of EMACv2.55 and the land surface and vegetation model JSBACHv4, EGUsphere, doi:10.5194/egusphere-2023-3051, 2024.
47.
Preprint
Klingmüller, K. and Lelieveld, J.: Data-driven aeolian dust emission scheme for climate modelling, evaluated with EMAC 2.54, Geoscientific Model Development Discussions, 15, doi:10.5194/gmd-2022-232, 2022.
48.
Preprint
Klingmüller, K. and Lelieveld, J.: Climate model-informed deep learning of global soil moisture distribution, Geoscientific Model Development Discussions, 14, doi:10.5194/gmd-2020-434, 2020.
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