NP
Nonlinear Processes in Geosciences

EGU Divisions

A few reasons making the June 2022 French Heatwave too hot & too soon

June 17, 2022
A few reasons making the June 2022 French Heatwave too hot & too soon
Picture (by Chris Walts): original way to stay cool during hot days in Paris.

Too hot, Too soon: the thermometer has reached unprecedented temperature for a month of June in France, with the 40°C mark crossed by Friday June 17 in part of France. The IPCC AR6 report now clearly states that the probability of heatwave events such as this one has increased by a factor 3 to 5 in the present climate with respect to a counterfactual world not affected by anthropogenic greenhouse ...[Read More]

ClimarisQ: A game on the complexity of the climate systems and the extreme events

May 26, 2022
ClimarisQ: A game on the complexity of the climate systems and the extreme events

ClimarisQ is a smartphone/web game from a scientific mediation project that highlights the complexity of the climate system and the urgency of collective action to limit climate change. It is available in four languages: English, French, Spanish and Italian. It is an app-game where players must make decisions to limit the frequency and impacts of extreme climate events and their impacts on human s ...[Read More]

NPG Paper of the Month: “Inferring the instability of a dynamical system from the skill of data assimilation exercises”

April 25, 2022
NPG Paper of the Month: “Inferring the instability of a dynamical system from the skill of data assimilation exercises”
Scatter plots of the largest Lyapunov exponent (left) and Kolmogorov-Sinai entropy (right) against the skill of DA measured as the RMSE of the analysis. The experiments are done with model configurations displaying fully developed chaos (main panels) and with weakly chaotic configurations (insets). In all cases a strong observational constraint is applied: we measure the entire state vector at each time step. The theoretical error upper bound are also displayed (red markers).

The NPG paper of the month was awarded to “Inferring the instability of a dynamical system from the skill of data assimilation exercises” by Yumeng Chen, Alberto Carrassi, and Valerio Lucarini. Geophysical systems are usually described by a set of dynamical equations that are often non-linear and chaotic (Ghil and Lucarini, 2020). Errors about the initial state can grow, shrink, or sta ...[Read More]

NP Campfire: “Scaling and multifractals : from historical perspectives to recent developments”

, and December 20, 2021
NP Campfire: “Scaling and multifractals : from historical perspectives to recent developments”
Adapted from G. Sarma et al. (1991).

Scaling law behaviours are ubiquitous in geosciences both from a theoretical and practical point of view. They are required to better understand, analyse and simulate the underlying processes, which yields the observed variability of geophysical fields over wide ranges of spatio-temporal scales. A group of scientists within the Nonlinear Processes in Geosciences (NP) Division of the European Geosc ...[Read More]