NP
Nonlinear Processes in Geosciences

Statistics

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 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]

NP Interviews: the 2020 Lewis Fry Richardson Medal Valerio Lucarini

NP Interviews: the 2020 Lewis Fry Richardson Medal Valerio Lucarini

Today’s NP Interviews hosts the 2020 Lewis Fry Richardson Medal Valerio Lucarini. Valerio (b. Ancona, Italy, 1976) is the Director of the Centre for the Mathematics of Planet Earth and Professor of Statistical Mechanics at the University of Reading, and former Professor of Theoretical Meteorology at the University of Hamburg. His main expertise is in Climate Dynamics, Extreme Events, Statist ...[Read More]

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

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

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 epidemics. Despite the importance of havin ...[Read More]