Dr K. Hauke Kraemer

Postdoctoral Researcher
Kraemer

Our research is concerned with the (further) development of statistical instruments for the reconstruction of environmental changes and thus the reliability of climate proxies underlying these reconstructions. The focus is here in the methodological area of recurrence analysis, a method from non-linear physics. In particular, this instrument is intended to further investigate regime transitions in complex systems. The aim is to suit this methodology from the theoretical system research and time series analysis to the special challenges in climatology / paleoclimatology / climate dynamics. Here a major challenge is to deal with partially incomplete, not sufficiently distributed measurements of faulty climate proxies, and the non-stationary they inherent and thus pave the way for a broader application in (Geo)sciences.

Department

Working Group

Curriculum Vitae

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Contact

Potsdam Institute for Climate Impact Research (PIK)
hkraemer[at]pik-potsdam.de
P.O. Box 60 12 03
14412 Potsdam

ORCID

Complex Systems, complex networks, non-linear Dynamics, time series analysis, Recurrence Quantification Analysis, recurrence networks

Marwan, N. and Kraemer, K.H. (2023): Trends in recurrence analysis of dynamical systems. The European Physical Journal Special Topics, https://doi.org/10.1140/epjs/s11734-022-00739-8
Braun, T. and Kraemer, K.H. and Marwan, N. (2023): Recurrence flow measure of nonlinear dependence. The European Physical Journal Special Topics, https://doi.org/10.1140/epjs/s11734-022-00687-3

Kraemer, K.H. and Gelbrecht, M. and Pavithran, I. and Sujith, R. I. and Marwan, N. (2022): Optimal state space reconstruction via Monte Carlo decision tree search. Nonlinear Dynamics, https://doi.org/10.1007/s11071-022-07280-2

Kraemer, K.H. (2021): Towards a robust framework for Recurrence Analysis - Automated state space reconstruction, optimal parameter selection and correction schemes, PhD Thesis, University of Potsdam, https://doi.org/10.25932/publishup-53874

Trauth, M.H., Asrat, A., Cohen, A.S., Duesing, W., Foerster, V., Kaboth-Bahr, S., Kraemer, K.H., Lamb, H.F., Marwan, N., Maslin, M.A., Schäbitz, F. (2021): Recurring types of variability and transitions in the ~620 kyr record of climate change from the Chew Bahir Basin, southern Ethiopia, Quaternary Science Reviews, 106777, https://doi.org/10.1016/j.quascirev.2020.106777

Kraemer, K.H., Datseris, G. , Kurths, J.,  Kiss, I. Z. ,  Ocampo-Espindola, J. L. and Marwan, N. (2021): A unified and automated approach to attractor reconstruction, New Journal of Physics 23, 033017, https://iopscience.iop.org/article/10.1088/1367-2630/abe336

Kraemer, K.H. & Marwan, N. (2021, March 18). hkraemer/PECUZAL_python: PECUZAL embedding algorithm (Version 1.1). Zenodo. http://doi.org/10.5281/zenodo.4616711

Kraemer, K.H. & Marwan, N. (2021, March 18). hkraemer/PECUZAL_Matlab: PECUZAL embedding algorithm (Version 1.3.3). Zenodo. http://doi.org/10.5281/zenodo.4616645

Duesing, W., Berner, N., Deino, A. L., Foerster, V., Kraemer, K.H., Marwan, N. and Trauth, M. H. (2021): Multiband Wavelet Age Modeling for a ∼293 m (∼600 kyr) Sediment Core From Chew Bahir Basin, Southern Ethiopian Rift, Frontiers in Earth Science 9, https://doi.org/10.3389/feart.2021.594047

Pitsik, E., Frolov, N., Kraemer, K.H., Grubov, V., Maksimenko, V., Kurths, J., Hramov, A (2020): Motor execution reduces EEG signals complexity: Recurrence quantification analysis study, Chaos 30, 023111, https://doi.org/10.1063/1.5136246

Kraemer, K.H., Marwan, N. (2019): Border effect corrections for diagonal line based recurrence quantification analysis measures,Physics Letters A,Volume 383, Issue 34,125977, ISSN 0375-9601, https://doi.org/10.1016/j.physleta.2019.125977

Kraemer, K.H. (2019), hkraemer/Border-effect-corrections-for-diagonal-line-based-recurrence-quantification-analysis-measures: MATLAB routines for RQA border effect and tangential motion correction, https://doi.org/10.5281/zenodo.3384892, Jun. 2019.

Trauth, M.H., Asrat, A., Duesing, W., Foerster, V., Kraemer, K.H., Marwan, N., Maslin, M.A., Schaebitz, F. (2019) Classifying past climate change in the Chew Bahir basin, southern Ethiopia, using recurrence quantification analysis. Climate Dynamics, https://doi.org/10.1007/s00382-019-04641-3

Kraemer, K. H., Donner, R. V., Heitzig, J., Marwan, N. (2018): Recurrence threshold selection for obtaining robust recurrence characteristics in different embedding dimensions. - Chaos 28, 085720 https://doi.org/10.1063/1.5024914 

Foerster, V., Deocampo, D. M., Asrat, A., Günter, C., Junginger, A., Kraemer, K. H., Stroncik, N., Trauth, M. H. (2018): Towards an understanding of climate proxy formation in the Chew Bahir basin, southern Ethiopian Rift. - Palaeogeography Palaeoclimatology Palaeoecology501, pp. 111—123.
DOI: http://doi.org/10.1016/j.palaeo.2018.04.009