Data Assimilation with Python: a Package for Experimental Research

Tutorials on data assimilation (DA) and the EnKF

FlowNet - Data-Driven Reservoir Predictions

Official implementation of Score-based Data Assimilation

This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).

Benchmarking tools for applying AI/ML to data assimilation

A Python interface to parallel data assimilation framework - pyPDAF

Data Assimilation in Geosciences

A Python-based Blended sEamLess soLver for Atmospheric dynamics coupled to an ensemble data assimilation engine

This repository is the reproducible code of the paper Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK. This paper has been accepted in the NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning.

Estimating observation and model errors in ocean data assimilation

Pre- and post-processing for MIKE FM Data Assimilation

Cryospheric Monitoring and Prediction Online

A comprehensive research platform for Physics-Informed Neural Networks (PINNs) featuring 10+ applications including forward/inverse problems, data assimilation, and scientific discovery with interactive web interface.

An AOT-based algorithm to estimate multiple unknown parameters in the Kuramoto-Saviashinski equation. Source code for the paper "Concurrent Multiparameter Learning Demonstrated on the Kuramoto-Sivashinsky Equation" by Pachev, Whitehead, and McQuarrie.

5 types of Kalman Filters and examples.

This is a basic python interface to CRTM v2.3.0.

Python scripts for trying various data assimilation algorithms with simple toy models

Source code and data for the paper "Data Assimilation in Large Prandtl Rayleigh-Bénard Convection from Thermal Measurements" by A. Farhat, N. E. Glatt-Holtz, V. R. Martinez, S. A. McQuarrie, and J. P. Whitehead.