NP
Nonlinear Processes in Geosciences

NPG Paper of the Month

NPG Paper of the Month: “Beyond univariate calibration: verifying spatial structure in ensembles of forecast fields”

NPG Paper of the Month: “Beyond univariate calibration: verifying spatial structure in ensembles of forecast fields”

The August 2020 NPG Paper of the Month award goes to Josh Jacobson and colleagues for their paper “Beyond univariate calibration: verifying spatial structure in ensembles of forecast fields” (https://doi.org/10.5194/npg-27-411-2020). The ability to know the future has long been sought after and coveted. Yet, in contrast to prophecies and crystal balls, modern methods of prediction are ...[Read More]

NPG Paper of the Month: “Simulation-based comparison of multivariate ensemble post-processing methods”

NPG Paper of the Month: “Simulation-based comparison of multivariate ensemble post-processing methods”

The June 2020 NPG Paper of the Month award goes to Sebastian Lerch and colleagues for their paper “Simulation-based comparison of multivariate ensemble post-processing methods” (https://doi.org/10.5194/npg-27-349-2020). Sebastian Lerch is a researcher at the Faculty of Mathematics of the Karlsruhe Institute Technology (KIT). He has a background in mathematics and statistics, his resear ...[Read More]

NPG Paper of the Month “Anthropocene climate bifurcation”

NPG Paper of the Month “Anthropocene climate bifurcation”

The July 2020 NPG Paper of the Month award goes to Kolja Kypke, William Langford and Allan Willms, for their paper “Anthropocene climate bifurcation” (https://doi.org/10.5194/npg-27-391-2020). All three authors work at the University of Guelph, in Guelph, Ontario, Canada. William Langford did his PhD at the California Institute of Technology in 1971 under the supervision of Herbert Kel ...[Read More]

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]