EnKF code for DA with large-scale layered geophysical models.
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Updated
Jun 4, 2024 - C
EnKF code for DA with large-scale layered geophysical models.
A Python interface to parallel data assimilation framework - pyPDAF
Data Assimilation with Python: a Package for Experimental Research
Tutorials on data assimilation (DA) and the EnKF
the hub for all the computational projects related to NWP, DA, and predictability
Data Assimilation Project with the Lorenz63 Model
Code used for the paper "A Method for Imaging Energetic Particle Precipitation with Subionospheric VLF Signals"
A companion repository to "A low-rank ensemble Kalman filter for elliptic observations" by Le Provost et al. (2022)
5 types of Kalman Filters and examples.
⌨️ 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
Ensemble-based history matching method with latent-space proxy model for nonlinear forward model and non-Gaussian models.
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.
Kalman filter sanctuary - including continuous-discrete extended Kalman filter. Bring additional filters here for a bigger collection.
A collection of time-efficient state estimation algorithms for the medium-fidelity WindFarmSimulator (WFSim) control model
Real time multi-dimensional data modeling with new observations
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
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