Nonlinear Processes in Geosciences

NPG Paper of the Month: “Detecting dynamical anomalies in time series from different palaeoclimate proxy archives using windowed recurrence network analysis”

Tommaso Alberti June 30, 2020

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 Humboldt University …[Read More]

Is planting trees a feasible large-scale solution to mitigate climate change?

Davide Faranda June 8, 2020

In the last few years it has become a common practice to compensate carbon dioxide (CO2) emissions by planting trees. This idea is simple and rooted on a very basic principle: trees get the energy of sunlight, and by photosynthesis they take water from the ground and CO2 from the air, releasing oxygen in the …[Read More]

COVID-19-related drop in anthropogenic aerosol emissions in China and corresponding cloud and climate effects

Anna von der Heydt May 29, 2020

While a previous blog entry dealt with the question whether we can use lessons from the nonlinear nature of climate for projections of the Covid-19 pandemic, there is now a first example of how the pandemic can teach us something on climate. The several weeks long lockdown of China made February 2020 an exceptional month …[Read More]

NPG Paper of the Month: “Application of a local attractor dimension to reduced space strongly coupled data assimilation for chaotic multiscale systems”

Tommaso Alberti April 23, 2020

This month the NPG Paper of the Month award is achieved by Courtney Quinn for her paper “Application of a local attractor dimension to reduced space strongly coupled data assimilation for chaotic multiscale systems” (https://www.nonlin-processes-geophys.net/27/51/2020/). Dr. Courtney obtained her PhD in Mathematics at the University of Exeter (UK) researching critical transitions in dynamical systems. She …[Read More]

How Climate Sciences can help in understanding uncertainties in Covid-19 epidemic projections

Davide Faranda March 31, 2020

COVID-19 is currently affecting over 180 countries in the world and poses serious threats to public health as well as economic and social stability of many countries. Modeling and extrapolating in near real-time the evolution of COVID-19 epidemics is a scientific challenge, which requires a deep understanding of the factors undermining the dynamics of the …[Read More]