NP
Nonlinear Processes in Geosciences

dynamical system

From the eyes of tropical cyclones to flooded strands : how climatologists use weather events to make climate predictions?

October 26, 2021
From the eyes of tropical cyclones to flooded strands : how climatologists use weather events to make climate predictions?
Hurricane Florence seen from space: Credits: ESA/A.Gerst, CC BY-SA 3.0 IGO.

While extreme events are meteorological in nature, climatologists collect them to draw conclusions about the state of the present climate and to get clues how they possibly change in the future. Thus, climate and weather find common ground. If we consider an event alone, we are not studying the climate, we are in the field of meteorology, the goal of climatologists is therefore to put extreme even ...[Read More]

The 2021 Nobel Prize on Physics awarded to the physics of complex systems!

October 25, 2021
The 2021 Nobel Prize on Physics awarded to the physics of complex systems!
The Nobel Prize in Physics 2021. Credits: https://www.nobelprize.org.

On October 7th, the Nobel Prize in Physics 2021 was announced. It came as a stunning surprise for the Non-linear Processes and Climate communities, the recipients of this year’s award being two outstanding senior climate scientists, Klaus Hasselmann and Syukuro Manabe, and a theoretical physicist specialized in complex systems, Giorgio Parisi. For many, this award was welcomed as a long-awaited re ...[Read More]

Three reasons why Forest-Fires worsen with climate change

September 1, 2021
Three reasons why Forest-Fires worsen with climate change

The brand-new IPCC AR6 report clearly states that “Unless there are immediate, rapid and massive reductions in greenhouse gas emissions, limiting warming to around 1.5°C, or even 2°C, will be out of reach”. Although as human beings we do not perceive changes in global Earth average temperatures as a threat to our lives, the IPCC report also states that extreme weather events will worsen; actually ...[Read More]

NPG Paper of the Month: “Recurrence analysis of extreme event-like data”

July 1, 2021
NPG Paper of the Month: “Recurrence analysis of extreme event-like data”
Top panels: time series of a periodic (left), stochastic (middle), and chaotic system (right). Bottom panels: the corresponding recurrence plots of respective systems.

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]