Publikationen von Klaus Klingmüller

Forschungspapier (6)

21.
Forschungspapier
Klingmüller, K., Karydis, V. A., Bacer, S., Stenchikov, G. L. und Lelieveld, J.: Weaker cooling by aerosols due to dust-pollution interactions, Atmospheric Chemistry and Physics Discussions, 20, doi:10.5194/acp-2020-531, 2020.
22.
Forschungspapier
Klingmüller, K., Lelieveld, J., Karydis, V. und Stenchikov, G. L.: Direct radiative effect of dust-pollution interactions, Atmospheric Chemistry and Physics Discussions, 18, doi:0.5194/acp-2018-1104, 2018.
23.
Forschungspapier
Klingmüller, K., Metzger, S., Abdelkader, M., Karydis, V., Stenchikov, G. L., Pozzer, A. und Lelieveld, J.: Revised mineral dust emissions in the atmospheric chemistry-climate model EMAC (based on MESSy 2.52), Geoscientific Model Development Discussions, 10, doi:10.5194/gmd-2017-160, 2017.
24.
Forschungspapier
Abdelkader, M., Metzger, S., Steil, B., Klingmüller, K., Tost, H., Pozzer, A., Stenchikov, G., Barrie, L. und Lelieveld, J.: Chemical aging of atmospheric mineral dust during transatlantic transport, Atmospheric Chemistry and Physics Discussions, 16, doi:doi:10.5194/acp-2016-470, 2016.
25.
Forschungspapier
Klingmüller, K., Pozzer, A., Metzger, S., Stenchikov, G. L. und Lelieveld, J.: Aerosol optical depth trend over the Middle East, Atmospheric Chemistry and Physics Discussions, 16, doi:10.5194/acp-2015-839 , 2016.
26.
Forschungspapier
Metzger, S., Steil, B., Abdelkader, M., Klingmüller, K., Xu, L., Penner, J. E., Fountoukis, C., Nenes, A. und 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.

Preprint (3)

27.
Preprint
Martin, A., Gayler , V., Steil, B., Klingmüller, K., Jöckel, P., Tost, H., Lelieveld, J. und 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.
28.
Preprint
Klingmüller, K. und 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.
29.
Preprint
Klingmüller, K. und 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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