Dr. Marlene Klockmann
Dr. Marlene Klockmann
Climate Extremes and Impacts
ScientistPhone: +49 (0)4152 87-1824
Fax: +49 (0)4152 87-2818
since Mar 2018 Postdoc at Institute of Coastal Research at Helmholtz-Zentrum Hereon, in the group of Coastal Impacts and Paleoclimate. Part of the HGF-funded project RedMod.
Jul 2017 – Feb 2018 Postdoc at the Max Planck Institute for Meteorology, in the Ocean Physics group with the department Ocean in the Earth System
Mar 2014 – Jul 2017 PhD student at the Max Planck Institute for Meteorology and the University of Hamburg. PhD thesis: The AMOC and its sensitivity to different climate forcings in the range of glacial to modern conditions
Mar 2014 – Jul 2017 Doctoral program of the International Max Planck Research School on Earth System Modelling
Dec 2012 – Dec 2013 Young Graduate Trainee at the European Space Agency, ESRIN, Frascati, Italy Research topics: salinity from the Soil Moisture Ocean Salinity (SMOS) mission, water-mass formation in temperature-salinity space
Oct 2010 – Oct 2012 M.Sc. in Physical Oceanography, Institut für Meereskunde, University of Hamburg, Germany MSc thesis: ‘Atmospheric pressure adjustments associated with spin-down over sea surface temperature fronts – A regional and seasonal study’
Jan 2012 – Mar 2012 Visiting scientist at the International Pacific Research Center (IPRC) as part of my master thesis, University of Hawaii, Honolulu, HI, United States
Oct 2007 – Oct 2010 B.Sc. in Oceanography and Geophysics, University of Hamburg, Germany BSc thesis: ‘Lagrangian study of the subtropical-subpolar gyres water exchange in the North Atlantic’
I am interested in understanding the variability of the climate system on different time scales and its dependence on the mean climate state. In my PhD work, I have used a coupled climate model to study the mechanisms which control the response of the Atlantic Meridional Overturning Circulation to glacial climate forcings. In my current work within the RedMod project, I aim to combine information from climate proxy records and numerical climate simulations to obtain improved climate reconstructions.
- Zhang, Z., Wagner, S., Klockmann, M., & Zorita, E. (2022): Evaluation of statistical climate reconstruction methods based on pseudoproxy experiments using linear and machine-learning methods. Clim. Past, 18, 2643–2668, doi:10.5194/cp-18-2643-2022
- Sherriff-Tadano, S., & Klockmann, M. (2021): PMIP contributions to understanding the deep ocean circulation of the Last Glacial Maximum. Past Global Changes Magazine, 29(2), 84-85, doi:10.22498/pages.29.2.84
- Klockmann, M., Mikolajewicz, U., Kleppin, H., & Marotzke, J. (2020): Coupling of the subpolar gyre and the overturning circulation during abrupt glacial climate transitions. Geophysical Research Letters, 47, e2020GL090361, doi:10.1029/2020GL090361
- Piracha, A., Sabia, R., Klockmann, M., Castaldo, L. & Fernández, D. (2019): Satellite-Driven Estimates of Water Mass Formation and Their Spatio-Temporal Evolution. Front. Mar. Sci., 6:589, doi:10.3389/fmars.2019.00589
- Ziemen, F.A., Kapsch, M.-L., Klockmann, M., & Mikolajewicz, U. (2019): Heinrich events show two-stage climate response in transient glacial simulations. Clim. Past, 15, 153-168, doi:10.5194/cp-15-153-2019
- Klockmann, M., Mikolajewicz, U., & Marotzke, J. (2018): Two AMOC states in response to decreasing greenhouse gas concentrations in the coupled climate model MPI-ESM. Journal of Climate, 31(19), 7969-7984, doi:10.1175/JCLI-D-17-0859.1
- Weitzel, N., Wagner, S., Sjolte, J., Klockmann, M., Bothe, O., Andres, H., Tarasov, L., Rehfeld, K., Zorita, E., Widmann, M., Sommer, P., Schädler, G., Ludwig, P., Kapp, F., Jonkers, L., García-Pintado, J., Fuhrmann, F., Dolman, A., Dallmeyer, A., & Brücher, T. (2018): Diving into the past – A paleo data-model comparison workshop on the Late Glacial and Holocene. Bull. Amer. Meteor. Soc., doi:10.1175/BAMS-D-18-0169.1
- Klockmann, M., Mikolajewicz, U., & Marotzke, J. (2016): The effect of greenhouse gas concentrations and ice sheets on the glacial AMOC in a coupled climate model. Climate of the Past (12), 1829-1846, doi:10.5194/cp-12-1829-2016
- Sabia, R., Klockmann, M., Fernandez-Prieto, D., & Donlon, C. (2014): A first estimation of SMOS-based ocean surface T-S diagrams. Journal of Geophysical Research (119), doi:10.1002/2014JC010120