sequential MCMC method for data assimilation
-
Updated
Apr 25, 2024 - Python
sequential MCMC method for data assimilation
Data assimilation implementation using Kalman Filter for the CFD simulation of a turbulent wind flow in a finite cylinder.
Here lies an interpolator to SPEEDY grided format, particullary, comming from the NOAA repository.
An adjointable cardiac mechanics data assimilator.
Notebooks to test out ideas or develop understanding
This is a collection of scripts and functions that serve as exercises for understanding and writing various numerical methods from scratch.
dart is a simple dart throwing simulator with random inaccuracies used for prototyping data assimilation and inverse problems
An introduction to sensitivity analysis and 4D-Var data assimilation method in epidemic modelling setting
Lorenz 63 and Lorenz 96 reconstruction state with data assimilation and neural networks.
Projects
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.
Informações, recursos e tutoriais em assimilação de dados
Real time multi-dimensional data modeling with new observations
Generic data assimilation library
Exploring biophysical parameter retrievals using a dummy MCMC approach H2020 MULTIPLY
5 types of Kalman Filters and examples.
Reproduced the examples and results from the textbook "Probabilistic Forecasting and Bayesian Data Assimilation" in Python
Simple data assimilation studies
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.
Data Assimilation with ML/DL methods
Add a description, image, and links to the data-assimilation topic page so that developers can more easily learn about it.
To associate your repository with the data-assimilation topic, visit your repo's landing page and select "manage topics."