Articles | Volume 27, issue 2
Nonlin. Processes Geophys., 27, 261–275, 2020
Nonlin. Processes Geophys., 27, 261–275, 2020
Research article
27 Apr 2020
Research article | 27 Apr 2020

Detecting dynamical anomalies in time series from different palaeoclimate proxy archives using windowed recurrence network analysis

Jaqueline Lekscha and Reik V. Donner

Related authors

Validation of boreal summer tropical-extratropical causal links in seasonal forecasts
Giorgia Di Capua, Dim Coumou, Bart van der Hurk, Antje Weissheimer, Andrew G. Turner, and Reik V. Donner
Weather Clim. Dynam. Discuss.,,, 2022
Revised manuscript under review for WCD
Short summary
Multiscale fractal dimension analysis of a reduced order model of coupled ocean–atmosphere dynamics
Tommaso Alberti, Reik V. Donner, and Stéphane Vannitsem
Earth Syst. Dynam., 12, 837–855,,, 2021
Short summary
A climate network perspective on the intertropical convergence zone
Frederik Wolf, Aiko Voigt, and Reik V. Donner
Earth Syst. Dynam., 12, 353–366,,, 2021
Short summary
Spatiotemporal patterns of synchronous heavy rainfall events in East Asia during the Baiu season
Frederik Wolf, Ugur Ozturk, Kevin Cheung, and Reik V. Donner
Earth Syst. Dynam., 12, 295–312,,, 2021
Short summary
Dominant patterns of interaction between the tropics and mid-latitudes in boreal summer: causal relationships and the role of timescales
Giorgia Di Capua, Jakob Runge, Reik V. Donner, Bart van den Hurk, Andrew G. Turner, Ramesh Vellore, Raghavan Krishnan, and Dim Coumou
Weather Clim. Dynam., 1, 519–539,,, 2020
Short summary

Related subject area

Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere | Techniques: Big data and artificial intelligence
Integrated hydrodynamic and machine learning models for compound flooding prediction in a data-scarce estuarine delta
Joko Sampurno, Valentin Vallaeys, Randy Ardianto, and Emmanuel Hanert
Nonlin. Processes Geophys., 29, 301–315,,, 2022
Short summary
Predicting sea surface temperatures with coupled reservoir computers
Benjamin Walleshauser and Erik Bollt
Nonlin. Processes Geophys., 29, 255–264,,, 2022
Short summary
Using neural networks to improve simulations in the gray zone
Raphael Kriegmair, Yvonne Ruckstuhl, Stephan Rasp, and George Craig
Nonlin. Processes Geophys., 29, 171–181,,, 2022
Short summary
The blessing of dimensionality for the analysis of climate data
Bo Christiansen
Nonlin. Processes Geophys., 28, 409–422,,, 2021
Short summary
Producing realistic climate data with generative adversarial networks
Camille Besombes, Olivier Pannekoucke, Corentin Lapeyre, Benjamin Sanderson, and Olivier Thual
Nonlin. Processes Geophys., 28, 347–370,,, 2021
Short summary

Cited articles

Abarbanel, H. D. I., Brown, R., Sidorowich, J. J., and Tsimring, L. S.: The analysis of observed chaotic data in physical systems, Rev. Mod. Phys., 65, 1331–1392,, 1993. a
Barrio, R. and Serrano, S.: A three-parametric study of the Lorenz model, Physica D, 229, 43–51,, 2007. a
Bradley, R. S.: Paleoclimatology (Third Edition), Academic Press, third edition edn.,, 2015. a, b
Cohen, A.: Paleolimnology: The History and Evolution of Lake Systems, Oxford University Press, 2003. a
Dee, S., Emile-Geay, J., Evans, M. N., Allam, A., Steig, E. J., and Thompson, D.: PRYSM: An open-source framework for PRoxY System Modeling, with applications to oxygen-isotope systems, J. Adv. Model. Earth Sy., 7, 1220–1247,, 2015. a, b, c