Medical images are closely related to the patient's condition. We put forward the model of
Sin-Arcsin-Arnold Multi-Dynamic random nonadjacent Coupled Map Lattice (SAMCML) and …

Definition To determine whether (or not) the intrinsic predictability limit of the atmosphere is
two weeks and whether (or not) Lorenz's approaches support this limit, this entry discusses …

Recent progress in the particle filter has made it possible to use it for nonlinear or non-
Gaussian data assimilation in high-dimensional systems, but a relatively large ensemble is …

Ensemble forecast based on physics-informed models is one of the most widely used
forecast algorithms for complex turbulent systems. A major difficulty in such a method is the …

Data assimilation plays an important role in both data driven and model driven research.
The celebrated Kalman filter, a typical data assimilation framework, has been widely …

To improve the forecast accuracy of numerical weather prediction, it is essential to obtain
better initial conditions by combining simulations and available observations via data …

The accuracy of Earth system models is compromised by unknown and/or unresolved
dynamics, making the quantification of systematic model errors essential. While a model …

This paper presents an ensemble data assimilation method using the pseudo ensembles
generated by denoising diffusion probabilistic model. Since the model is trained against …

Reconstructing attractors of airfoil systems from observations facilitates understanding of
aeroelasticity, especially the onset of flutter. However, it is generally difficult due to …

Data security and privacy have become essential due to the increasingly advanced
interconnectivity in today's world, hence the reliance on cryptography. This paper introduces …