All software
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
ESM-Tools
ESM-Tools is a toolbox to assist you in running climate and Earth System Model simulations.
- Earth & Environment
- Earth System Modelling
- FAIR Software
- + 11
- Shell
- Python
- Fortran
- + 5
hypersonic-effects
A Python package to model radiative response to various aircraft emissions at different altitudes and latitudes. The model combines empirical emission sensitivities with linear interpolation to estimate total radiative effects.
- aircraft
- Earth & Environment
- Earth System Modelling
- + 3
- Jupyter Notebook
- Python
eCLM
The enCore Community Land Model (eCLM) is based on the Community Land Model version 5, representing land surface processes including hydrology, biogeophysics, biogeochemistry and ecosystem dynamics.
- Biogeochemistry
- Earth System Modelling
- FAIR Software
- + 2
- Fortran
- CMake
- Perl
- + 6
supersonic-effects
A Python package to model ozone column changes and radiative effects in response to various aircraft emissions at different altitudes over specific regions. The model combines empirical emission sensitivities to estimate effects of supersonic transport on ozone and radiation.
- aircraft
- Earth & Environment
- Earth System Modelling
- + 4
- Python
ParFlow
ParFlow is a parallel, integrated hydrology model that simulates spatially distributed surface and subsurface flow.
- Earth System Modelling
- High performance computing
- Hydrology
- + 2
- C
- Tcl
- Python
- + 17
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