A collection of ensemble square root kalman filters implemented in Python

Stochastic Processes Comparison of Accuracy: Data Assimilation, Echo State Machines and Nonlinear Vector Autoregressive Learning Methods. ### Comparing discrete and variational data assimilation methods to reservoir computing - machine learning for synthetic chaotic nonlinear dynamical systems

Reconstructing Paleoclimate with Data Assimilation in Python (Master thesis)

Software for 'Controlling ventilation in buildings using Adversarial Neural Networks to produce comfortable healthy environments that are energy efficient'

This interactive tool lets explore the Lorenz 96 dynamics in a range of configuration that the user can select. The main purpose of this is educational, intending to be a tool for easily explain general concepts of different Data Assimilation techniques using the Lorenz 96 model

Framework for collecting Smartphone Pressure Observations (SPOs)