NP
Nonlinear Processes in Geosciences

Nonlinear Processes in Geosciences

A new European effort to better understand extreme weather

A new European effort to better understand extreme weather

Extreme weather events routinely have detrimental socio-economic impacts around the globe. In fact, weather-related events make up over 90% of natural disasters worldwide [1]. In the new millennium, the frequency of many extreme weather events such as droughts and high temperatures, has systematically exceeded the levels seen in the 1980s and 1990s [1], and anthropogenic climate change may further ...[Read More]

Can we connect the exceptional floods in France and Italy associated with the storm Alex to climate change?

The first days of October were marked by an extreme weather event: storm Alex, a cyclone of Atlantic origin, caused massive showers and thunderstorms over Provence, the Alps, Piedmont and Liguria. In these regions, numerous historical records of precipitation were broken causing the flooding of several streams and rivers in which many people lost their lives. Economic damage was also significant a ...[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]