NP
Nonlinear Processes in Geosciences

Dynamical systems

What the 2022 summer thunderstorms in the Mediterranean tell us about the ongoing climate change?

September 7, 2022
What the 2022 summer thunderstorms in the Mediterranean tell us about the ongoing climate change?
Lightning trace from 00 UTC to 18 UTC on 18 July 2022 showing the derecho track (dark red to white). Source: https://www.blitzortung.org/it/live_lightning_maps.php

The 2022 European summer was governed by the presence of a persistent cold drop (low pressure area) located between Portugal and France. The change in its position has determined the alternation between hot conditions (low pressure center over Portugal) and stormy conditions (cold drop over France). The warming of the Mediterranean Sea (up to +6°C compared to the period 1990-2020) has largely cont ...[Read More]

NP Interviews: Davide Faranda (CNRS) on the topic “global warming and extreme events in Europe”

and August 30, 2022
NP Interviews: Davide Faranda (CNRS) on the topic “global warming and extreme events in Europe”

Davide Faranda is a physicist at the French National Center for Scientific Research (CNRS). His main interests are devoted to the construction of a statistical mechanical and dynamical systems framework for the study of atmospheric motions. In particular, his works aim at the characterization of the metastable states of the atmospheric circulation with simple mathematical and statistical tools, an ...[Read More]

A new virtual seminar series on Climate Physics organized by the American Physical Society (APS) group in Physics of Climate

June 23, 2022

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]

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]