NP
Nonlinear Processes in Geosciences

Mathematics

NPG Paper of the Month: “Correcting for model changes in statistical postprocessing – an approach based on response theory”

NPG Paper of the Month: “Correcting for model changes in statistical postprocessing – an approach based on response theory”

This month the NPG Paper of the Month award is achieved by Jonathan Deameyer and Stéphane Vannitsem for their paper “Correcting for model changes in statistical postprocessing – an approach based on response theory” (https://doi.org/10.5194/npg-27-307-2020). Jonathan did his PhD in statistical mechanics at the Université Libre de Bruxelles under the supervision of Pierre Gaspard and he is currentl ...[Read More]

NPG Paper Highlight: “Baroclinic and barotropic instabilities in planetary atmospheres: energetics, equilibration and adjustment”

NPG Paper Highlight: “Baroclinic and barotropic instabilities in planetary atmospheres: energetics, equilibration and adjustment”

Today’s our blog hosts a review article by the 2016 EGU Richardson medallist Peter Read, together with Daniel Kennedy, Neil Lewis, Hélène Scolan, Fachreddin Tabataba-Vakili, YixiongWang, Susie Wright, and Roland Young for the special issue of NPG celebrating 100 years of IUGG (https://npg.copernicus.org/articles/27/147/2020/npg-27-147-2020.html). One of the great achievements of the past 100 ...[Read More]

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

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

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]

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

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

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 in terms of air quality; aerosol emissions were tremendously reduced leading ...[Read More]