NP
Nonlinear Processes in Geosciences

Climate

From Theory to Impacts: Nonlinear Perspectives on Weather Extremes at UNDERPIN#2

From Theory to Impacts: Nonlinear Perspectives on Weather Extremes at UNDERPIN#2

From 1–5 August 2025, the medieval hilltop town of Erice, Sicily, hosted the second UNDERPIN workshop, a meeting organised within the Nonlinear Processes in Geosciences community and dedicated to advancing the science of weather extremes. The event brought together a truly diverse group of researchers, spanning climate dynamics, attribution science, socio-economic impacts, statistical physics, and ...[Read More]

NP Paper of the Month: “Representation learning with unconditional denoising diffusion models for dynamical systems”

NP Paper of the Month: “Representation learning with unconditional denoising diffusion models for dynamical systems”

About the revolution of generating butterflies Imagine the most vibrant butterfly you can conceive. Congratulations – you’ve just achieved what generative AI does! This technology can create images from simple text descriptions, revolutionising image generation. But as geoscientists, how can we use it to improve the prediction of chaotic system like our weather? How can it help us to discover prop ...[Read More]

Nonlinear Processes in Earth System Dynamics

Nonlinear Processes in Earth System Dynamics

Earth System Dynamics (ESD) is an open-access EGU journal focussing on an interdisciplinary view of the functioning of the Earth system and global change. Due its broad focus, ESD receives submissions of relevance to several different EGU divisions. Here, I would like to highlight five thought-provoking ESD papers that cover topics spanning environmental governance, extreme events, palaeo-climates ...[Read More]

ClimaMeter: Putting Extreme Weather in Climate Perspective

ClimaMeter: Putting Extreme Weather in Climate Perspective

ClimaMeter offers a dynamic approach to contextualize and analyze weather extremes within a climate context. This framework provides both easily understandable immediate contextualization of extreme weather events as well as more in-depth technical analysis shortly after the events. Methodology: The foundation of ClimaMeter’s methodology lies in identifying weather conditions similar to those resp ...[Read More]