NP
Nonlinear Processes in Geosciences

Nonlinear Processes in Geosciences

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]

Bridging Mathematics and Climate Science: the AMS MRC programme for June-July 2024

Bridging Mathematics and Climate Science: the AMS MRC programme for June-July 2024

The American Mathematical Society’s Mathematics Research Communities (MRC) continues to be a beacon for early-career mathematicians seeking professional development. This esteemed program offers opportunities to hone collaborative research skills, cultivate networks within active research domains, and benefit from mentorship by leaders in the field. As part of the MRC initiative, the upcoming conf ...[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]