Implementation of various ensemble Kalman Filter data assimilation methods in Julia

This repository forms part of the "1D simulation of land subsidence with ensemble Kalman filter" presented in Zapata-Norberto et al., 2024.

Parallel Data Assimilation Framework

Julia code for running the numerical experiments in the paper "EnKSGD: A Class of Preconditioned Black Box Optimization and Inversion Algorithms" by Brian Irwin and Sebastian Reich.

Experiments for online learning and data assimilation for time series data.

Code associated with the paper "Ensemble Kalman Filters with Resampling"

A package for paleoclimate data assimilation workflow.

5 types of Kalman Filters and examples.

EnKF analysis routines in Fortran 90. Stochastich and SQRT formulations with subspace inversion.

This repo is work done for fun on trying to apply the parametric Kalman Filter (Pannekoucke et al. 2016) on the sphere for a transport equation.

Generic data assimilation library

Software Repository accompanying the paper "Ensemble Kalman Filter optimizing Deep NeuralNetworks: An alternative approach to non-performing Gradient Descent"

This repository contains material developed as part of a signal processing master project at Aalborg University. The project focuses on accelerating Ensemble Density Propagation for training deep neural networks.

Advanced Data Assimilation Algorithms and Methods

ensemble Kalman filter, cell transmission model, A-optimal navigation, UAV path planning simulation

Maximum Correntropy Kalman Filter

Codes associated with PhD thesis titled "Structural and Shape construction using inverse problems and machine earning techniques"

Python sample code of robot localization with ensemble kalman filter and landmarks