Data Assimilation with Python: a Package for Experimental Research
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Updated
Jun 21, 2023 - Python
Data Assimilation with Python: a Package for Experimental Research
Course on data assimilation (DA)
Kalman filter sanctuary - including continuous-discrete extended Kalman filter. Bring additional filters here for a bigger collection.
Ert has been split into three repositories, libecl, libres, and ert, and now lives at Equinor's GitHub organization — https://github.com/equinor/libecl | https://github.com/equinor/libres | https://github.com/equinor/ert
Ensemble-based history matching method with latent-space proxy model for nonlinear forward model and non-Gaussian models.
A companion repository to "A low-rank ensemble Kalman filter for elliptic observations" by Le Provost et al. (2022)
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.
A collection of time-efficient state estimation algorithms for the medium-fidelity WindFarmSimulator (WFSim) control model
⌨️ Nino-Ruiz, E.D., & Consuegra Ortega (2023) AMLCS-DA: A data assimilation package in Python for Atmospheric General Circulation Models. SoftwareX, Elsevier, 1– 10. Available from: https://doi.org/10.1016/j.softx.2023.101374
Code used for the paper "A Method for Imaging Energetic Particle Precipitation with Subionospheric VLF Signals"
Real time multi-dimensional data modeling with new observations
5 types of Kalman Filters and examples.
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