🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
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- Julia
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data-assimilation
Here are 132 public repositories matching this topic...
Data Assimilation with Python: a Package for Experimental Research
chaos bayesian-methods particle-filter kalman-filtering data-assimilation enkf state-estimation bayesian-filter kalman
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- Python
M.I.T General Circulation Model master code and documentation repository
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- Fortran
PDE-Net: Learning PDEs from Data
machine-learning partial-differential-equations applied-mathematics numerical-methods data-assimilation inverse-problems system-identification data-driven-model
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The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
data-science r plants forecasting bayesian meta-analysis data-assimilation pecan cyberinfrastructure ecosystem-model national-science-foundation ecosystem-science
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- R
Tutorials on data assimilation (DA) and the EnKF
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- Python
State estimation, smoothing and parameter estimation using Kalman and particle filters.
tracking estimation controls particle-filter dynamical-systems control-systems parameter-estimation bayesian-inference gnss unscented-kalman-filter data-assimilation state-estimation system-identification kalman-filter monte-carlo-methods sequential-monte-carlo virtual-sensing extended-kalman-filter guidance-navigation-control prediction-error-method
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- Julia
ClimaAtmos.jl is an atmosphere model that is designed to leverage data assimilation and machine learning tools for modeling and calibrating subgrid-scale processes.
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- Julia
Official implementation of Score-based Data Assimilation
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- Python
FlowNet - Data-Driven Reservoir Predictions
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- Python
Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncertainty quantification
deep-learning generative-adversarial-network data-assimilation uncertainty-quantification time-series-prediction generative-network reduced-order-model
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- Jupyter Notebook
EnKF code for DA with large-scale layered geophysical models.
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- C
Parallel Data Assimilation Framework (this is the release repository, thus expect only updates when we prepare a new release)
particle-filter data-assimilation uncertainty-quantification variational-method nonlinear-systems ensemble-kalman-filter
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- Fortran
A package for paleoclimate data assimilation workflow.
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- MATLAB
This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
data-science machine-learning tutorial machine-learning-algorithms geoscience particle-filter data-assimilation kalman-filter ensemble-prediction lorenz-attractor variational-method lorenz63
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- Python
Benchmarking tools for applying AI/ML to data assimilation
machine-learning recurrent-neural-networks artificial-intelligence predictive-modeling data-assimilation forecasting-models lorenz-attractor training-data era5 data-assimilation-enkf 4d-var quasi-geostrophic
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- Python
Notebooks on production optimisation and history matching
optimization data-assimilation reservoir-characterization pde-constrained-optimization history-matching
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- Jupyter Notebook
Data Assimilation for Agent-Based Models - A research project at the University of Leeds, funded by the European Research Council
particle-filter agent-based-modeling data-assimilation kalman-filter agent-based-simulation urban-analytics
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- Jupyter Notebook
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