This month the NPG Paper of the Month award is achieved by Jaqueline Lekscha and Reik Donner for their paper “Detecting dynamical anomalies in time series from different palaeoclimate proxy archives using windowed recurrence network analysis” (https://npg.copernicus.org/articles/27/261/2020/). Jaqueline Lekscha did her PhD in physics at the Potsdam Institute for Climate Impact Research and Humbold ...[Read More]
NPG Paper of the Month: “Detecting dynamical anomalies in time series from different palaeoclimate proxy archives using windowed recurrence network analysis”
Recurrence network transitivity (colour-coded) for a Lorenz-63 system with linear parameter drift as input signal, and the output of four different proxy system models with an areawise significance test (contours). The vertical lines denote the approximate positions of transient bifurcations between different types of dynamics at b = 161.0 and b = 166.5 as described in Donges et al., Nonlin. Processes Geophys., 2011. Credits: Detecting dynamical anomalies in time series from different palaeoclimate proxy archives using windowed recurrence network analysis (https://npg.copernicus.org/articles/27/261/2020/).
