A collection of ensemble square root kalman filters implemented in Python
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Updated
Jan 4, 2023 - Python
A collection of ensemble square root kalman filters implemented in Python
Reconstructing Paleoclimate with Data Assimilation in Python (Master thesis)
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
Framework for collecting Smartphone Pressure Observations (SPOs)
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
This repository is a resource complementary to the book: Data Assimilation Fundamental: A unified formulation for state and parameter estimation
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