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PDAF
PDAF - the Parallel Data Assimilation Framework is one of the most widely used a software frameworks for data assimilation. PDAF provides support for ensemble modeling and fully implemented data assimilation methods to merge models and observational data which let models learn from observations.
- Atmospheric science
- data assimilation
- Earth & Environment
- + 9
- Fortran
- Makefile
- Python
- + 3
5
417
FESOM
FESOM (Finite-Element/volumE Sea ice-Ocean Model) is a multi-resolution sea ice-ocean model that solves the equations of motion on unstructured meshes.
- climate modelling
- Earth & Environment
- exascale
- + 5
- Fortran
- Jupyter Notebook
- C
- + 11
0
0
pyPDAF
pyPDAF provides the functionality to use the Parallel Data Assimilation Framework (PDAF) fully in Python. One can use all functionality of PDAF while implementing the case-specific code for the chosen data assimilation application in Python.
- Atmospheric science
- Bayesian inference
- data assimilation
- + 8
- Cython
- Python
- Fortran
- + 4
2
0