Ecological stability refers to a family of concepts used to describe how systems of interacting
species vary through time and respond to disturbances. Because observed ecological …

Complex nonlinear dynamics are ubiquitous in marine ecology. Empirical dynamic
modelling can be used to infer ecosystem dynamics and species interactions while making …

Scientific analysis often relies on the ability to make accurate predictions of a system's
dynamics. Mechanistic models, parameterized by a number of unknown parameters, are …

This study presents a new modeling approach that aims for long time predictions (more than
12 h) of ionospheric disturbances driven by solar storm events. The proposed model shall …

Low cost and small size integrated sensors bring a significant interest to redundant sensing
systems such as sensor array systems. Redundancy may permit to increase both …

The task of modeling and forecasting a dynamical system is one of the oldest problems, and
it remains challenging. Broadly, this task has two subtasks: extracting the full dynamical …

This article proposes an alternative filtering technique to improve interferometric synthetic
aperture radar (InSAR) time series by reducing residual noise while retaining the ground …

Various of data assimilation methods such as the ensemble Kalman filter (EnKF) have been
established in physical science and engineering for the fusion of observed data with …

Data assimilation, which relies on explicit knowledge of dynamical models, is a well‐known
approach that addresses models' limitations due to various reasons, such as errors in input …

We present a model-free forecast algorithm that dynamically combines multiple forecasts
using multivariate time series data. The underlying principle is based on the fact that forecast …