NP
Nonlinear Processes in Geosciences

NP Division

NPG Paper of the Month: “Applications of matrix factorization methods to climate data”

NPG Paper of the Month: “Applications of matrix factorization methods to climate data”

The September 2020 NPG Paper of the Month award goes to Dylan Harries and Terence J. O’Kane for their paper “Applications of matrix factorization methods to climate data” (https://doi.org/10.5194/npg-27-453-2020). Dylan is a postdoctoral fellow within the Oceans and Atmosphere business unit of CSIRO (Australia). His current research focuses on methods for learning reduced-order models from d ...[Read More]

The never-ending 2020 hurricane season

The never-ending 2020 hurricane season

Iota, this is the name of the last category 5 hurricane in the Atlantic Ocean. Iota is a non-name because normally hurricanes are named by NOAA starting from A to Z but when the alphabet is over, they are just identified from a letter of the Greek alphabet. Iota is a special cyclone not just because its name implies that the hurricane season is particularly rich in storms but also because of its e ...[Read More]

Perspectives on Climate Science: from historical developments to research frontiers

Perspectives on Climate Science: from historical developments to research frontiers

Breaking news: a bizarre early-September snowstorm dumped snow from Montana to New Mexico, a medicane hit Southern Italian regions and Greece, heatwaves and droughts are expected to increase in the future… These extreme events are becoming more and more frequent and one question spontaneously arises: is climate change making the weather more extreme? This is one of the reasons why climate change i ...[Read More]

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]