The May 2021 NPG Paper of the Month award goes Abhirup Banerjee and his co-authors for their paper “Recurrence analysis of extreme event-like data“. Abhirup is pursuing a doctoral degree in Theoretical Physics at University of Potsdam. He is working at Potsdam Institute of Climate Impact Research as a guest researcher as part of the DFG funded NatRiskChange project. In this project, he ...[Read More]
NPG Paper of the Month: “Recurrence analysis of extreme event-like data”
![NPG Paper of the Month: “Recurrence analysis of extreme event-like data”](https://blogs.egu.eu/divisions/np/files/2021/07/2-650x366.png)
Top panels: time series of a periodic (left), stochastic (middle), and chaotic system (right). Bottom panels: the corresponding recurrence plots of respective systems.