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]
NPG Paper of the Month: “Inferring the instability of a dynamical system from the skill of data assimilation exercises”
![NPG Paper of the Month: “Inferring the instability of a dynamical system from the skill of data assimilation exercises”](https://blogs.egu.eu/divisions/np/files/2022/04/0001-650x258.jpg)