Enhancing Robustness of Variational Data Assimilation in Chaotic Systems: An α-4DVar Framework with Rényi Entropy and α-Generalized Gaussian Distributions

Enhancing Robustness of Variational Data Assimilation in Chaotic Systems: An α-4DVar Framework with Rényi Entropy and α-Generalized Gaussian Distributions

Traditional 4-dimensional variational data assimilation methods have limitations due to the Gaussian distribution assumption of observation errors, and the gradient of the objective functional is vulnerable to observation noise and outliers. To address these issues, this paper proposes a non-Gaussia...

Full description

Saved in:
Bibliographic Details
Main Authors: Yuchen Luo, Xiaoqun Cao, Kecheng Peng, Mengge Zhou, Yanan Guo
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Entropy
Subjects:
data assimilation
non-gaussian distribution
Rényi entropy
Lorenz-63 model
robustness
Online Access:https://www.mdpi.com/1099-4300/27/7/763
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1099-4300/27/7/763

Similar Items