The APS Topical Group on the Physics of Climate (APS-GPC) is excited to launch a new virtual monthly seminar series on climate physics and variability. These seminars are aimed at introducing the broader physics community (and math, engineering, and other communities) to the fundamentals of climate science as well as cutting-edge research and open questions in this field. APS invites you to attend ...[Read More]
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
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”
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]